Spaces:
Running
Running
CrispStrobe commited on
Commit ·
d756c8e
1
Parent(s): 55850a6
feat: improve size detection (decimals, description regex) and embedder identification
Browse files- data/providers.json +2958 -157
- scripts/fetch-providers.js +125 -23
- scripts/providers/openrouter.js +22 -4
- scripts/providers/scaleway.js +5 -3
data/providers.json
CHANGED
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@@ -33,6 +33,7 @@
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"input_price_per_1m": 0.17,
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"output_price_per_1m": 0.17,
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"currency": "USD",
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"capabilities": [
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"tools"
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]
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@@ -189,7 +190,8 @@
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"capabilities": [
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"tools",
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"reasoning"
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-
]
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},
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{
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"name": "Apertus-70B-Instruct-2509",
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@@ -449,7 +451,8 @@
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"capabilities": [
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"vision",
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"tools"
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-
]
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},
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{
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"name": "Sonnet 4.5 Reasoning",
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@@ -791,177 +794,2965 @@
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"provider_upstream": "OpenAI",
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"capabilities": [
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"vision",
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-
"files",
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-
"tools",
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| 796 |
"reasoning"
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| 797 |
-
]
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| 798 |
},
|
| 799 |
{
|
| 800 |
-
"name": "
|
| 801 |
"type": "vision",
|
| 802 |
-
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| 803 |
-
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-
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-
"provider_upstream": "OpenAI",
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"capabilities": [
|
| 807 |
"vision",
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| 808 |
-
"files",
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-
"tools",
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"reasoning"
|
| 811 |
-
]
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| 812 |
},
|
| 813 |
{
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| 814 |
-
"name": "
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| 815 |
"type": "vision",
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-
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| 817 |
-
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-
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|
| 819 |
-
"provider_upstream": "OpenAI",
|
| 820 |
"capabilities": [
|
| 821 |
"vision",
|
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-
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},
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{
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-
"name": "
|
| 828 |
"type": "vision",
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-
"input_price_per_1m":
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-
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-
"currency": "
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-
"provider_upstream": "OpenAI",
|
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"capabilities": [
|
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"vision",
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|
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{
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"name": "
|
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"type": "vision",
|
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-
"input_price_per_1m":
|
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"output_price_per_1m":
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-
"currency": "
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"provider_upstream": "OpenAI",
|
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"capabilities": [
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"vision",
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|
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{
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"name": "
|
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"type": "vision",
|
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"input_price_per_1m":
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"output_price_per_1m":
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"currency": "
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"provider_upstream": "OpenAI",
|
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"capabilities": [
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{
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"name": "
|
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"type": "vision",
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"input_price_per_1m":
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"output_price_per_1m":
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"currency": "
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"provider_upstream": "OpenAI",
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"capabilities": [
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{
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"name": "
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"type": "vision",
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"input_price_per_1m":
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"output_price_per_1m":
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-
"currency": "
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"provider_upstream": "Google",
|
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"capabilities": [
|
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"vision",
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|
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{
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"type": "
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-
"currency": "
|
| 900 |
-
"size_b": 120,
|
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-
"provider_upstream": "OpenAI",
|
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"capabilities": [
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|
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{
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-
"name": "
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"type": "vision",
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"input_price_per_1m":
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"output_price_per_1m":
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-
"currency": "
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"provider_upstream": "Google",
|
| 914 |
"capabilities": [
|
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"vision",
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"video",
|
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-
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{
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-
"name": "
|
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"type": "vision",
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"input_price_per_1m":
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"output_price_per_1m":
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-
"currency": "
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-
"provider_upstream": "Google",
|
| 930 |
"capabilities": [
|
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"vision",
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-
"video",
|
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-
"audio",
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-
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},
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| 939 |
{
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-
"name": "
|
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"type": "vision",
|
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-
"input_price_per_1m":
|
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-
"output_price_per_1m":
|
| 944 |
-
"currency": "
|
| 945 |
-
"provider_upstream": "Google",
|
| 946 |
"capabilities": [
|
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"vision",
|
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-
"video",
|
| 949 |
-
"audio",
|
| 950 |
-
"files",
|
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-
"tools",
|
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"reasoning"
|
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-
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}
|
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-
]
|
| 956 |
-
},
|
| 957 |
-
{
|
| 958 |
-
"name": "Requesty",
|
| 959 |
-
"url": "https://requesty.ai",
|
| 960 |
-
"headquarters": "USA",
|
| 961 |
-
"region": "Global",
|
| 962 |
-
"gdpr_compliant": true,
|
| 963 |
-
"eu_endpoints": true,
|
| 964 |
-
"models": [],
|
| 965 |
"lastUpdated": "2026-03-02T04:53:24.807Z"
|
| 966 |
},
|
| 967 |
{
|
|
@@ -1777,7 +4568,8 @@
|
|
| 1777 |
"capabilities": [
|
| 1778 |
"vision",
|
| 1779 |
"tools"
|
| 1780 |
-
]
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| 1781 |
},
|
| 1782 |
{
|
| 1783 |
"name": "Mistral Small Creative",
|
|
@@ -1859,7 +4651,8 @@
|
|
| 1859 |
"capabilities": [
|
| 1860 |
"audio",
|
| 1861 |
"tools"
|
| 1862 |
-
]
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| 1863 |
},
|
| 1864 |
{
|
| 1865 |
"name": "Voxtral Mini",
|
|
@@ -2001,7 +4794,7 @@
|
|
| 2001 |
"input_price_per_1m": 0.01,
|
| 2002 |
"output_price_per_1m": 0.02,
|
| 2003 |
"currency": "USD",
|
| 2004 |
-
"size_b": 6
|
| 2005 |
},
|
| 2006 |
{
|
| 2007 |
"name": "ibm-granite/granite-4.0-h-micro",
|
|
@@ -2015,8 +4808,7 @@
|
|
| 2015 |
"type": "chat",
|
| 2016 |
"input_price_per_1m": 0.02,
|
| 2017 |
"output_price_per_1m": 0.04,
|
| 2018 |
-
"currency": "USD"
|
| 2019 |
-
"size_b": 4
|
| 2020 |
},
|
| 2021 |
{
|
| 2022 |
"name": "meta-llama/llama-guard-3-8b",
|
|
@@ -2138,8 +4930,7 @@
|
|
| 2138 |
"type": "chat",
|
| 2139 |
"input_price_per_1m": 0.0375,
|
| 2140 |
"output_price_per_1m": 0.15,
|
| 2141 |
-
"currency": "USD"
|
| 2142 |
-
"size_b": 7
|
| 2143 |
},
|
| 2144 |
{
|
| 2145 |
"name": "openai/gpt-oss-120b",
|
|
@@ -2215,7 +5006,8 @@
|
|
| 2215 |
"capabilities": [
|
| 2216 |
"tools",
|
| 2217 |
"reasoning"
|
| 2218 |
-
]
|
|
|
|
| 2219 |
},
|
| 2220 |
{
|
| 2221 |
"name": "meta-llama/llama-3.2-11b-vision-instruct",
|
|
@@ -2521,7 +5313,8 @@
|
|
| 2521 |
"capabilities": [
|
| 2522 |
"vision",
|
| 2523 |
"tools"
|
| 2524 |
-
]
|
|
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|
| 2525 |
},
|
| 2526 |
{
|
| 2527 |
"name": "google/gemma-3-27b-it",
|
|
@@ -2934,8 +5727,7 @@
|
|
| 2934 |
"currency": "USD",
|
| 2935 |
"capabilities": [
|
| 2936 |
"reasoning"
|
| 2937 |
-
]
|
| 2938 |
-
"size_b": 13
|
| 2939 |
},
|
| 2940 |
{
|
| 2941 |
"name": "nousresearch/hermes-2-pro-llama-3-8b",
|
|
@@ -2967,7 +5759,8 @@
|
|
| 2967 |
"vision",
|
| 2968 |
"tools",
|
| 2969 |
"reasoning"
|
| 2970 |
-
]
|
|
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|
| 2971 |
},
|
| 2972 |
{
|
| 2973 |
"name": "upstage/solar-pro-3",
|
|
@@ -2999,7 +5792,8 @@
|
|
| 2999 |
"currency": "USD",
|
| 3000 |
"capabilities": [
|
| 3001 |
"tools"
|
| 3002 |
-
]
|
|
|
|
| 3003 |
},
|
| 3004 |
{
|
| 3005 |
"name": "mistralai/ministral-8b-2512",
|
|
@@ -3044,7 +5838,8 @@
|
|
| 3044 |
"capabilities": [
|
| 3045 |
"vision",
|
| 3046 |
"tools"
|
| 3047 |
-
]
|
|
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|
| 3048 |
},
|
| 3049 |
{
|
| 3050 |
"name": "openai/gpt-4o-mini-search-preview",
|
|
@@ -3076,7 +5871,7 @@
|
|
| 3076 |
]
|
| 3077 |
},
|
| 3078 |
{
|
| 3079 |
-
"name": "openai/gpt-4o-mini
|
| 3080 |
"type": "vision",
|
| 3081 |
"input_price_per_1m": 0.15,
|
| 3082 |
"output_price_per_1m": 0.6,
|
|
@@ -3088,7 +5883,7 @@
|
|
| 3088 |
]
|
| 3089 |
},
|
| 3090 |
{
|
| 3091 |
-
"name": "openai/gpt-4o-mini",
|
| 3092 |
"type": "vision",
|
| 3093 |
"input_price_per_1m": 0.15,
|
| 3094 |
"output_price_per_1m": 0.6,
|
|
@@ -3237,7 +6032,8 @@
|
|
| 3237 |
"capabilities": [
|
| 3238 |
"tools",
|
| 3239 |
"reasoning"
|
| 3240 |
-
]
|
|
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|
| 3241 |
},
|
| 3242 |
{
|
| 3243 |
"name": "x-ai/grok-4.1-fast",
|
|
@@ -3329,7 +6125,8 @@
|
|
| 3329 |
"capabilities": [
|
| 3330 |
"tools",
|
| 3331 |
"reasoning"
|
| 3332 |
-
]
|
|
|
|
| 3333 |
},
|
| 3334 |
{
|
| 3335 |
"name": "mistralai/mistral-saba",
|
|
@@ -3339,7 +6136,8 @@
|
|
| 3339 |
"currency": "USD",
|
| 3340 |
"capabilities": [
|
| 3341 |
"tools"
|
| 3342 |
-
]
|
|
|
|
| 3343 |
},
|
| 3344 |
{
|
| 3345 |
"name": "minimax/minimax-01",
|
|
@@ -3391,7 +6189,8 @@
|
|
| 3391 |
"currency": "USD",
|
| 3392 |
"capabilities": [
|
| 3393 |
"tools"
|
| 3394 |
-
]
|
|
|
|
| 3395 |
},
|
| 3396 |
{
|
| 3397 |
"name": "bytedance-seed/seed-2.0-lite",
|
|
@@ -3472,7 +6271,7 @@
|
|
| 3472 |
},
|
| 3473 |
{
|
| 3474 |
"name": "tngtech/deepseek-r1t2-chimera",
|
| 3475 |
-
"type": "
|
| 3476 |
"input_price_per_1m": 0.25,
|
| 3477 |
"output_price_per_1m": 0.85,
|
| 3478 |
"currency": "USD",
|
|
@@ -3843,7 +6642,8 @@
|
|
| 3843 |
"currency": "USD",
|
| 3844 |
"capabilities": [
|
| 3845 |
"tools"
|
| 3846 |
-
]
|
|
|
|
| 3847 |
},
|
| 3848 |
{
|
| 3849 |
"name": "deepseek/deepseek-v3.2-speciale",
|
|
@@ -4090,8 +6890,7 @@
|
|
| 4090 |
"currency": "USD",
|
| 4091 |
"capabilities": [
|
| 4092 |
"tools"
|
| 4093 |
-
]
|
| 4094 |
-
"size_b": 7
|
| 4095 |
},
|
| 4096 |
{
|
| 4097 |
"name": "moonshotai/kimi-k2",
|
|
@@ -4101,7 +6900,8 @@
|
|
| 4101 |
"currency": "USD",
|
| 4102 |
"capabilities": [
|
| 4103 |
"tools"
|
| 4104 |
-
]
|
|
|
|
| 4105 |
},
|
| 4106 |
{
|
| 4107 |
"name": "thedrummer/skyfall-36b-v2",
|
|
@@ -4168,8 +6968,7 @@
|
|
| 4168 |
"type": "chat",
|
| 4169 |
"input_price_per_1m": 0.62,
|
| 4170 |
"output_price_per_1m": 0.62,
|
| 4171 |
-
"currency": "USD"
|
| 4172 |
-
"size_b": 22
|
| 4173 |
},
|
| 4174 |
{
|
| 4175 |
"name": "qwen/qwen3-coder-plus",
|
|
@@ -4213,7 +7012,8 @@
|
|
| 4213 |
"currency": "USD",
|
| 4214 |
"capabilities": [
|
| 4215 |
"reasoning"
|
| 4216 |
-
]
|
|
|
|
| 4217 |
},
|
| 4218 |
{
|
| 4219 |
"name": "deepseek/deepseek-r1-distill-llama-70b",
|
|
@@ -4321,8 +7121,7 @@
|
|
| 4321 |
"type": "chat",
|
| 4322 |
"input_price_per_1m": 0.8,
|
| 4323 |
"output_price_per_1m": 1.2,
|
| 4324 |
-
"currency": "USD"
|
| 4325 |
-
"size_b": 7
|
| 4326 |
},
|
| 4327 |
{
|
| 4328 |
"name": "alfredpros/codellama-7b-instruct-solidity",
|
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@@ -4977,8 +7776,7 @@
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|
| 5840 |
"tools"
|
| 5841 |
+
],
|
| 5842 |
+
"size_b": 17
|
| 5843 |
},
|
| 5844 |
{
|
| 5845 |
"name": "openai/gpt-4o-mini-search-preview",
|
|
|
|
| 5871 |
]
|
| 5872 |
},
|
| 5873 |
{
|
| 5874 |
+
"name": "openai/gpt-4o-mini",
|
| 5875 |
"type": "vision",
|
| 5876 |
"input_price_per_1m": 0.15,
|
| 5877 |
"output_price_per_1m": 0.6,
|
|
|
|
| 5883 |
]
|
| 5884 |
},
|
| 5885 |
{
|
| 5886 |
+
"name": "openai/gpt-4o-mini-2024-07-18",
|
| 5887 |
"type": "vision",
|
| 5888 |
"input_price_per_1m": 0.15,
|
| 5889 |
"output_price_per_1m": 0.6,
|
|
|
|
| 6032 |
"capabilities": [
|
| 6033 |
"tools",
|
| 6034 |
"reasoning"
|
| 6035 |
+
],
|
| 6036 |
+
"size_b": 106
|
| 6037 |
},
|
| 6038 |
{
|
| 6039 |
"name": "x-ai/grok-4.1-fast",
|
|
|
|
| 6125 |
"capabilities": [
|
| 6126 |
"tools",
|
| 6127 |
"reasoning"
|
| 6128 |
+
],
|
| 6129 |
+
"size_b": 685
|
| 6130 |
},
|
| 6131 |
{
|
| 6132 |
"name": "mistralai/mistral-saba",
|
|
|
|
| 6136 |
"currency": "USD",
|
| 6137 |
"capabilities": [
|
| 6138 |
"tools"
|
| 6139 |
+
],
|
| 6140 |
+
"size_b": 24
|
| 6141 |
},
|
| 6142 |
{
|
| 6143 |
"name": "minimax/minimax-01",
|
|
|
|
| 6189 |
"currency": "USD",
|
| 6190 |
"capabilities": [
|
| 6191 |
"tools"
|
| 6192 |
+
],
|
| 6193 |
+
"size_b": 480
|
| 6194 |
},
|
| 6195 |
{
|
| 6196 |
"name": "bytedance-seed/seed-2.0-lite",
|
|
|
|
| 6271 |
},
|
| 6272 |
{
|
| 6273 |
"name": "tngtech/deepseek-r1t2-chimera",
|
| 6274 |
+
"type": "embedding",
|
| 6275 |
"input_price_per_1m": 0.25,
|
| 6276 |
"output_price_per_1m": 0.85,
|
| 6277 |
"currency": "USD",
|
|
|
|
| 6642 |
"currency": "USD",
|
| 6643 |
"capabilities": [
|
| 6644 |
"tools"
|
| 6645 |
+
],
|
| 6646 |
+
"size_b": 123
|
| 6647 |
},
|
| 6648 |
{
|
| 6649 |
"name": "deepseek/deepseek-v3.2-speciale",
|
|
|
|
| 6890 |
"currency": "USD",
|
| 6891 |
"capabilities": [
|
| 6892 |
"tools"
|
| 6893 |
+
]
|
|
|
|
| 6894 |
},
|
| 6895 |
{
|
| 6896 |
"name": "moonshotai/kimi-k2",
|
|
|
|
| 6900 |
"currency": "USD",
|
| 6901 |
"capabilities": [
|
| 6902 |
"tools"
|
| 6903 |
+
],
|
| 6904 |
+
"size_b": 65.286
|
| 6905 |
},
|
| 6906 |
{
|
| 6907 |
"name": "thedrummer/skyfall-36b-v2",
|
|
|
|
| 6968 |
"type": "chat",
|
| 6969 |
"input_price_per_1m": 0.62,
|
| 6970 |
"output_price_per_1m": 0.62,
|
| 6971 |
+
"currency": "USD"
|
|
|
|
| 6972 |
},
|
| 6973 |
{
|
| 6974 |
"name": "qwen/qwen3-coder-plus",
|
|
|
|
| 7012 |
"currency": "USD",
|
| 7013 |
"capabilities": [
|
| 7014 |
"reasoning"
|
| 7015 |
+
],
|
| 7016 |
+
"size_b": 32
|
| 7017 |
},
|
| 7018 |
{
|
| 7019 |
"name": "deepseek/deepseek-r1-distill-llama-70b",
|
|
|
|
| 7121 |
"type": "chat",
|
| 7122 |
"input_price_per_1m": 0.8,
|
| 7123 |
"output_price_per_1m": 1.2,
|
| 7124 |
+
"currency": "USD"
|
|
|
|
| 7125 |
},
|
| 7126 |
{
|
| 7127 |
"name": "alfredpros/codellama-7b-instruct-solidity",
|
|
|
|
| 7776 |
"currency": "USD",
|
| 7777 |
"capabilities": [
|
| 7778 |
"tools"
|
| 7779 |
+
]
|
|
|
|
| 7780 |
},
|
| 7781 |
{
|
| 7782 |
"name": "mistralai/mistral-large",
|
|
|
|
| 7876 |
]
|
| 7877 |
},
|
| 7878 |
{
|
| 7879 |
+
"name": "inflection/inflection-3-productivity",
|
| 7880 |
"type": "chat",
|
| 7881 |
"input_price_per_1m": 2.5,
|
| 7882 |
"output_price_per_1m": 10,
|
| 7883 |
"currency": "USD"
|
| 7884 |
},
|
| 7885 |
{
|
| 7886 |
+
"name": "inflection/inflection-3-pi",
|
| 7887 |
"type": "chat",
|
| 7888 |
"input_price_per_1m": 2.5,
|
| 7889 |
"output_price_per_1m": 10,
|
|
|
|
| 8303 |
]
|
| 8304 |
},
|
| 8305 |
{
|
| 8306 |
+
"name": "openai/gpt-4",
|
| 8307 |
"type": "chat",
|
| 8308 |
"input_price_per_1m": 30,
|
| 8309 |
"output_price_per_1m": 60,
|
|
|
|
| 8313 |
]
|
| 8314 |
},
|
| 8315 |
{
|
| 8316 |
+
"name": "openai/gpt-4-0314",
|
| 8317 |
"type": "chat",
|
| 8318 |
"input_price_per_1m": 30,
|
| 8319 |
"output_price_per_1m": 60,
|
|
|
|
| 8376 |
"currency": "USD",
|
| 8377 |
"capabilities": [
|
| 8378 |
"tools"
|
| 8379 |
+
],
|
| 8380 |
+
"size_b": 400
|
| 8381 |
},
|
| 8382 |
{
|
| 8383 |
"name": "liquid/lfm-2.5-1.2b-thinking:free",
|
|
|
|
| 8387 |
"currency": "USD",
|
| 8388 |
"capabilities": [
|
| 8389 |
"reasoning"
|
| 8390 |
+
],
|
| 8391 |
+
"size_b": 1.2
|
| 8392 |
},
|
| 8393 |
{
|
| 8394 |
"name": "liquid/lfm-2.5-1.2b-instruct:free",
|
| 8395 |
"type": "chat",
|
| 8396 |
"input_price_per_1m": 0,
|
| 8397 |
"output_price_per_1m": 0,
|
| 8398 |
+
"currency": "USD",
|
| 8399 |
+
"size_b": 1.2
|
| 8400 |
},
|
| 8401 |
{
|
| 8402 |
"name": "nvidia/nemotron-3-nano-30b-a3b:free",
|
|
|
|
| 8419 |
"capabilities": [
|
| 8420 |
"tools",
|
| 8421 |
"reasoning"
|
| 8422 |
+
],
|
| 8423 |
+
"size_b": 26
|
| 8424 |
},
|
| 8425 |
{
|
| 8426 |
"name": "nvidia/nemotron-nano-12b-v2-vl:free",
|
|
|
|
| 8502 |
"currency": "USD",
|
| 8503 |
"capabilities": [
|
| 8504 |
"tools"
|
| 8505 |
+
],
|
| 8506 |
+
"size_b": 480
|
| 8507 |
},
|
| 8508 |
{
|
| 8509 |
"name": "cognitivecomputations/dolphin-mistral-24b-venice-edition:free",
|
|
|
|
| 8518 |
"type": "chat",
|
| 8519 |
"input_price_per_1m": 0,
|
| 8520 |
"output_price_per_1m": 0,
|
| 8521 |
+
"currency": "USD"
|
|
|
|
| 8522 |
},
|
| 8523 |
{
|
| 8524 |
"name": "google/gemma-3n-e4b-it:free",
|
| 8525 |
"type": "chat",
|
| 8526 |
"input_price_per_1m": 0,
|
| 8527 |
"output_price_per_1m": 0,
|
| 8528 |
+
"currency": "USD"
|
|
|
|
| 8529 |
},
|
| 8530 |
{
|
| 8531 |
"name": "qwen/qwen3-4b:free",
|
scripts/fetch-providers.js
CHANGED
|
@@ -11,6 +11,7 @@
|
|
| 11 |
|
| 12 |
const fs = require('fs');
|
| 13 |
const path = require('path');
|
|
|
|
| 14 |
|
| 15 |
const DATA_FILE = path.join(__dirname, '..', 'data', 'providers.json');
|
| 16 |
|
|
@@ -59,7 +60,7 @@ function updateProviderModels(providers, providerName, models) {
|
|
| 59 |
const normName = (s) =>
|
| 60 |
s.toLowerCase().replace(/[-_.:]/g, ' ').replace(/[^a-z0-9 ]/g, '').replace(/\s+/g, ' ').trim();
|
| 61 |
|
| 62 |
-
// Build an index of normalized OpenRouter model-part → { capabilities, type }
|
| 63 |
// Only includes entries that carry non-trivial capability data.
|
| 64 |
function buildOrIndex(orProvider) {
|
| 65 |
if (!orProvider) return [];
|
|
@@ -68,13 +69,13 @@ function buildOrIndex(orProvider) {
|
|
| 68 |
if (!m.capabilities || m.capabilities.length === 0) continue;
|
| 69 |
// Strip :free suffix and take the model part after '/'
|
| 70 |
const modelPart = m.name.replace(/:free$/, '').split('/').pop();
|
| 71 |
-
index.push({ norm: normName(modelPart), capabilities: m.capabilities, type: m.type });
|
| 72 |
}
|
| 73 |
return index;
|
| 74 |
}
|
| 75 |
|
| 76 |
// For a given model name, find the best matching OpenRouter index entry.
|
| 77 |
-
// Returns { capabilities, type } or null.
|
| 78 |
function findOrMatch(modelName, orIndex) {
|
| 79 |
// Use the model part (after last '/') for matching, strip :region/@suffix
|
| 80 |
const raw = modelName.replace(/@[^/]+$/, '').replace(/:[^/]+$/, '');
|
|
@@ -129,35 +130,137 @@ function findOrMatch(modelName, orIndex) {
|
|
| 129 |
return null;
|
| 130 |
}
|
| 131 |
|
| 132 |
-
//
|
| 133 |
-
|
| 134 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 135 |
const orProvider = data.providers.find((p) => p.name === 'OpenRouter');
|
| 136 |
const orIndex = buildOrIndex(orProvider);
|
| 137 |
-
if (orIndex.length === 0) return;
|
| 138 |
|
| 139 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 140 |
let autoTagged = 0;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 141 |
for (const provider of data.providers) {
|
| 142 |
for (const model of provider.models || []) {
|
| 143 |
-
|
|
|
|
|
|
|
| 144 |
if (model.type === 'image' && (!model.capabilities || !model.capabilities.length)) {
|
| 145 |
model.capabilities = ['image-gen'];
|
| 146 |
autoTagged++;
|
| 147 |
-
continue;
|
| 148 |
}
|
| 149 |
-
if (
|
| 150 |
-
|
| 151 |
-
|
| 152 |
-
|
| 153 |
-
|
| 154 |
-
//
|
| 155 |
-
if (model.
|
| 156 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 157 |
}
|
| 158 |
}
|
| 159 |
-
|
| 160 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 161 |
}
|
| 162 |
|
| 163 |
async function runFetcher(fetcher, data) {
|
|
@@ -197,9 +300,8 @@ async function main() {
|
|
| 197 |
results.push(result);
|
| 198 |
}
|
| 199 |
|
| 200 |
-
// Always propagate
|
| 201 |
-
|
| 202 |
-
propagateCapabilities(data);
|
| 203 |
|
| 204 |
saveData(data);
|
| 205 |
|
|
|
|
| 11 |
|
| 12 |
const fs = require('fs');
|
| 13 |
const path = require('path');
|
| 14 |
+
const { getJson, getText, fetchRobust } = require('./fetch-utils');
|
| 15 |
|
| 16 |
const DATA_FILE = path.join(__dirname, '..', 'data', 'providers.json');
|
| 17 |
|
|
|
|
| 60 |
const normName = (s) =>
|
| 61 |
s.toLowerCase().replace(/[-_.:]/g, ' ').replace(/[^a-z0-9 ]/g, '').replace(/\s+/g, ' ').trim();
|
| 62 |
|
| 63 |
+
// Build an index of normalized OpenRouter model-part → { capabilities, type, size_b }
|
| 64 |
// Only includes entries that carry non-trivial capability data.
|
| 65 |
function buildOrIndex(orProvider) {
|
| 66 |
if (!orProvider) return [];
|
|
|
|
| 69 |
if (!m.capabilities || m.capabilities.length === 0) continue;
|
| 70 |
// Strip :free suffix and take the model part after '/'
|
| 71 |
const modelPart = m.name.replace(/:free$/, '').split('/').pop();
|
| 72 |
+
index.push({ norm: normName(modelPart), capabilities: m.capabilities, type: m.type, size_b: m.size_b });
|
| 73 |
}
|
| 74 |
return index;
|
| 75 |
}
|
| 76 |
|
| 77 |
// For a given model name, find the best matching OpenRouter index entry.
|
| 78 |
+
// Returns { capabilities, type, size_b } or null.
|
| 79 |
function findOrMatch(modelName, orIndex) {
|
| 80 |
// Use the model part (after last '/') for matching, strip :region/@suffix
|
| 81 |
const raw = modelName.replace(/@[^/]+$/, '').replace(/:[^/]+$/, '');
|
|
|
|
| 130 |
return null;
|
| 131 |
}
|
| 132 |
|
| 133 |
+
// Fetch total_parameters from Hugging Face Hub API (Metadata)
|
| 134 |
+
async function fetchHFSize(hfId) {
|
| 135 |
+
if (!hfId || hfId.includes(' ') || !hfId.includes('/')) return null;
|
| 136 |
+
const token = process.env.HF_TOKEN;
|
| 137 |
+
const headers = token ? { Authorization: `Bearer ${token}` } : {};
|
| 138 |
+
try {
|
| 139 |
+
const data = await getJson(`https://huggingface.co/api/models/${hfId}`, { headers });
|
| 140 |
+
// Check various common metadata locations for total parameters
|
| 141 |
+
let params = data.safetensors?.total || data.config?.total_parameters || data.config?.model_type_params;
|
| 142 |
+
if (!params && data.cardData?.model_details?.parameters) {
|
| 143 |
+
const match = data.cardData.model_details.parameters.match(/([\d.]+)\s*[Bb]/);
|
| 144 |
+
if (match) params = parseFloat(match[1]) * 1_000_000_000;
|
| 145 |
+
}
|
| 146 |
+
return params ? Math.round(params / 1_000_000_000 * 10) / 10 : null;
|
| 147 |
+
} catch (e) {
|
| 148 |
+
return null; // Silently skip failures for individual models
|
| 149 |
+
}
|
| 150 |
+
}
|
| 151 |
+
|
| 152 |
+
const EMBEDDER_KEYWORDS = ['embed', 'bge', 'gte', 'e5', 'stella', 'minilm', 'multilingual-mpnet'];
|
| 153 |
+
|
| 154 |
+
// Propagate capabilities and size from benchmarks, OpenRouter, or HF Hub to all other providers' models.
|
| 155 |
+
// Only fills in fields when the model doesn't already have them.
|
| 156 |
+
async function propagateExtraData(data) {
|
| 157 |
const orProvider = data.providers.find((p) => p.name === 'OpenRouter');
|
| 158 |
const orIndex = buildOrIndex(orProvider);
|
|
|
|
| 159 |
|
| 160 |
+
// Load benchmarks for size lookup
|
| 161 |
+
let benchmarks = [];
|
| 162 |
+
try {
|
| 163 |
+
const bmFile = path.join(__dirname, '..', 'data', 'benchmarks.json');
|
| 164 |
+
if (fs.existsSync(bmFile)) benchmarks = JSON.parse(fs.readFileSync(bmFile, 'utf8'));
|
| 165 |
+
} catch (e) { /* ignore */ }
|
| 166 |
+
|
| 167 |
+
const bmSizeMap = new Map();
|
| 168 |
+
benchmarks.forEach((b) => {
|
| 169 |
+
if (b.params_b) {
|
| 170 |
+
if (b.name) bmSizeMap.set(normName(b.name), b.params_b);
|
| 171 |
+
if (b.hf_id) bmSizeMap.set(normName(b.hf_id.split('/').pop()), b.params_b);
|
| 172 |
+
if (b.lb_name) bmSizeMap.set(normName(b.lb_name), b.params_b);
|
| 173 |
+
}
|
| 174 |
+
});
|
| 175 |
+
|
| 176 |
+
let propagatedCaps = 0;
|
| 177 |
+
let propagatedSize = 0;
|
| 178 |
let autoTagged = 0;
|
| 179 |
+
let hfSizeFetched = 0;
|
| 180 |
+
|
| 181 |
+
// We'll collect models missing size that have a clear HF-id-like name
|
| 182 |
+
const hfLookupQueue = [];
|
| 183 |
+
|
| 184 |
for (const provider of data.providers) {
|
| 185 |
for (const model of provider.models || []) {
|
| 186 |
+
const n = normName(model.name);
|
| 187 |
+
|
| 188 |
+
// 1. Auto-tag image-gen and embedding models
|
| 189 |
if (model.type === 'image' && (!model.capabilities || !model.capabilities.length)) {
|
| 190 |
model.capabilities = ['image-gen'];
|
| 191 |
autoTagged++;
|
|
|
|
| 192 |
}
|
| 193 |
+
if (model.type === 'chat' && EMBEDDER_KEYWORDS.some(k => n.includes(k))) {
|
| 194 |
+
model.type = 'embedding';
|
| 195 |
+
autoTagged++;
|
| 196 |
+
}
|
| 197 |
+
|
| 198 |
+
// 2. Propagate size from benchmarks (if missing)
|
| 199 |
+
if (!model.size_b) {
|
| 200 |
+
// Try exact name match or base name match
|
| 201 |
+
const size = bmSizeMap.get(n) || bmSizeMap.get(n.split(' ').pop());
|
| 202 |
+
if (size) {
|
| 203 |
+
model.size_b = size;
|
| 204 |
+
propagatedSize++;
|
| 205 |
+
}
|
| 206 |
+
}
|
| 207 |
+
|
| 208 |
+
// 3. Propagate capabilities/type/size from OpenRouter
|
| 209 |
+
if (provider.name !== 'OpenRouter') {
|
| 210 |
+
const match = findOrMatch(model.name, orIndex);
|
| 211 |
+
if (match) {
|
| 212 |
+
if (!model.capabilities || model.capabilities.length === 0) {
|
| 213 |
+
model.capabilities = match.capabilities;
|
| 214 |
+
propagatedCaps++;
|
| 215 |
+
}
|
| 216 |
+
if (model.type === 'chat' && match.type !== 'chat') model.type = match.type;
|
| 217 |
+
if (!model.size_b && match.size_b) {
|
| 218 |
+
model.size_b = match.size_b;
|
| 219 |
+
propagatedSize++;
|
| 220 |
+
}
|
| 221 |
+
}
|
| 222 |
+
}
|
| 223 |
+
|
| 224 |
+
// Special case: gemma2 based models often 9b or 27b
|
| 225 |
+
if (!model.size_b) {
|
| 226 |
+
if (n.includes('gemma 2 9b') || n.includes('gemma2 9b')) { model.size_b = 9; propagatedSize++; }
|
| 227 |
+
else if (n.includes('gemma 2 27b') || n.includes('gemma2 27b')) { model.size_b = 27; propagatedSize++; }
|
| 228 |
+
else if (n.includes('gemma 2 2b') || n.includes('gemma2 2b')) { model.size_b = 2; propagatedSize++; }
|
| 229 |
+
}
|
| 230 |
+
|
| 231 |
+
// 4. Queue for HF Hub metadata if still missing and looks like an ID
|
| 232 |
+
if (!model.size_b && (model.name.includes('/') || model.hf_id)) {
|
| 233 |
+
hfLookupQueue.push(model);
|
| 234 |
+
}
|
| 235 |
}
|
| 236 |
}
|
| 237 |
+
|
| 238 |
+
// 5. Final fallback: Technical metadata inspection from HF Hub API (Option 2)
|
| 239 |
+
// Only for models that still have no size after all other sources.
|
| 240 |
+
// Limit to a small batch of unique IDs to avoid long startup.
|
| 241 |
+
const uniqueIds = [...new Set(hfLookupQueue.map(m => m.hf_id || m.name).filter(id => id.includes('/')))].slice(0, 30);
|
| 242 |
+
if (uniqueIds.length > 0) {
|
| 243 |
+
process.stdout.write(` HF Hub: inspecting ${uniqueIds.length} models for metadata... `);
|
| 244 |
+
const idToSize = new Map();
|
| 245 |
+
await Promise.all(uniqueIds.map(async (id) => {
|
| 246 |
+
const size = await fetchHFSize(id);
|
| 247 |
+
if (size) idToSize.set(id, size);
|
| 248 |
+
}));
|
| 249 |
+
for (const model of hfLookupQueue) {
|
| 250 |
+
if (!model.size_b) {
|
| 251 |
+
const size = idToSize.get(model.hf_id || model.name);
|
| 252 |
+
if (size) {
|
| 253 |
+
model.size_b = size;
|
| 254 |
+
hfSizeFetched++;
|
| 255 |
+
}
|
| 256 |
+
}
|
| 257 |
+
}
|
| 258 |
+
console.log(`✓ ${hfSizeFetched} sizes found`);
|
| 259 |
+
}
|
| 260 |
+
|
| 261 |
+
if (autoTagged > 0) console.log(`Auto-tagged ${autoTagged} image-gen/embedding models.`);
|
| 262 |
+
if (propagatedCaps > 0) console.log(`Propagated capabilities to ${propagatedCaps} models.`);
|
| 263 |
+
if (propagatedSize + hfSizeFetched > 0) console.log(`Enriched size data for ${propagatedSize + hfSizeFetched} models.`);
|
| 264 |
}
|
| 265 |
|
| 266 |
async function runFetcher(fetcher, data) {
|
|
|
|
| 300 |
results.push(result);
|
| 301 |
}
|
| 302 |
|
| 303 |
+
// Always propagate extra data from OpenRouter and Benchmarks to all providers' models.
|
| 304 |
+
await propagateExtraData(data);
|
|
|
|
| 305 |
|
| 306 |
saveData(data);
|
| 307 |
|
scripts/providers/openrouter.js
CHANGED
|
@@ -21,8 +21,11 @@ function loadApiKey() {
|
|
| 21 |
}
|
| 22 |
|
| 23 |
const getSizeB = (id) => {
|
| 24 |
-
|
| 25 |
-
|
|
|
|
|
|
|
|
|
|
| 26 |
};
|
| 27 |
|
| 28 |
// Derive model type from architecture modalities.
|
|
@@ -98,8 +101,23 @@ async function fetchOpenRouter() {
|
|
| 98 |
}
|
| 99 |
|
| 100 |
if (capabilities.length) modelEntry.capabilities = capabilities;
|
| 101 |
-
const
|
| 102 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 103 |
|
| 104 |
models.push(modelEntry);
|
| 105 |
}
|
|
|
|
| 21 |
}
|
| 22 |
|
| 23 |
const getSizeB = (id) => {
|
| 24 |
+
// Match patterns like 1.2b, 70b, 8b. Support decimals and trailing colon (e.g. 1.2b:free)
|
| 25 |
+
const match = (id || '').match(/(?:\b|-)([\d.]+)[Bb](?:\b|:|$)/);
|
| 26 |
+
if (!match) return undefined;
|
| 27 |
+
const num = parseFloat(match[1]);
|
| 28 |
+
return (num > 0 && num < 2000) ? num : undefined;
|
| 29 |
};
|
| 30 |
|
| 31 |
// Derive model type from architecture modalities.
|
|
|
|
| 101 |
}
|
| 102 |
|
| 103 |
if (capabilities.length) modelEntry.capabilities = capabilities;
|
| 104 |
+
const apiParams = model.architecture?.parameters;
|
| 105 |
+
const apiSize = (apiParams && apiParams > 0) ? Math.round(apiParams / 1_000_000_000 * 10) / 10 : null;
|
| 106 |
+
|
| 107 |
+
// Attempt detection in priority order:
|
| 108 |
+
// 1. Explicit architecture parameters from API
|
| 109 |
+
// 2. Regex on canonical HF ID if provided by OpenRouter
|
| 110 |
+
// 3. Regex on the model description (common for new models missing architecture metadata)
|
| 111 |
+
// 4. Regex on the OpenRouter ID itself
|
| 112 |
+
let sizeB = apiSize;
|
| 113 |
+
if (!sizeB && model.hugging_face_id) sizeB = getSizeB(model.hugging_face_id);
|
| 114 |
+
if (!sizeB && model.description) {
|
| 115 |
+
const descMatch = model.description.match(/([\d.]+)[Bb]-parameter/);
|
| 116 |
+
if (descMatch) sizeB = parseFloat(descMatch[1]);
|
| 117 |
+
}
|
| 118 |
+
if (!sizeB) sizeB = getSizeB(model.id);
|
| 119 |
+
|
| 120 |
+
if (sizeB) modelEntry.size_b = sizeB;
|
| 121 |
|
| 122 |
models.push(modelEntry);
|
| 123 |
}
|
scripts/providers/scaleway.js
CHANGED
|
@@ -23,9 +23,11 @@ const getModelType = (tasks) => {
|
|
| 23 |
};
|
| 24 |
|
| 25 |
const getSizeB = (name) => {
|
| 26 |
-
// Match patterns like
|
| 27 |
-
const match =
|
| 28 |
-
|
|
|
|
|
|
|
| 29 |
};
|
| 30 |
|
| 31 |
async function fetchScaleway() {
|
|
|
|
| 23 |
};
|
| 24 |
|
| 25 |
const getSizeB = (name) => {
|
| 26 |
+
// Match patterns like 1.2b, 70b, 8b. Support decimals.
|
| 27 |
+
const match = (name || '').match(/(?:\b|-)([\d.]+)[Bb](?:\b|:|$)/);
|
| 28 |
+
if (!match) return undefined;
|
| 29 |
+
const num = parseFloat(match[1]);
|
| 30 |
+
return (num > 0 && num < 2000) ? num : undefined;
|
| 31 |
};
|
| 32 |
|
| 33 |
async function fetchScaleway() {
|