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Sync 2026-10-23: 169 models

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Files changed (3) hide show
  1. README.md +1 -1
  2. models.csv +8 -0
  3. models.json +145 -5
README.md CHANGED
@@ -36,7 +36,7 @@ table at **[modelfit.io/data](https://modelfit.io/data/)**; the canonical
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  machine-readable source is
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  **[modelfit.io/api/dataset](https://modelfit.io/api/dataset/)**.
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- - **161 models** across 27 families (121 with a registry-verified local build, 23 open-weight models without a consumer-tier Ollama build, 17 closed cloud APIs tracked for comparison)
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  - **License:** CC BY 4.0: reuse freely, including commercially, with attribution
41
  - **Updated:** see the `updated` field in `models.json` (regenerated from the live endpoint)
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36
  machine-readable source is
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  **[modelfit.io/api/dataset](https://modelfit.io/api/dataset/)**.
38
 
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+ - **169 models** across 32 families (126 with a registry-verified local build, 26 open-weight models without a consumer-tier Ollama build, 17 closed cloud APIs tracked for comparison)
40
  - **License:** CC BY 4.0: reuse freely, including commercially, with attribution
41
  - **Updated:** see the `updated` field in `models.json` (regenerated from the live endpoint)
42
 
models.csv CHANGED
@@ -160,3 +160,11 @@ Ministral 3 3B,Mistral,3.4,Q4_K_M,6,3,,true,true,false,ollama|llama.cpp|lm-studi
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  Ministral 3 8B,Mistral,8.4,Q4_K_M,12,6,,true,true,false,ollama|llama.cpp|lm-studio,"Chat, Coding, Vision",ollama run ministral-3:8b
161
  Ministral 3 14B,Mistral,13.5,Q4_K_M,16,9.1,,true,true,false,ollama|llama.cpp|lm-studio,"Chat, Reasoning, Vision",ollama run ministral-3:14b
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  Inkling Small,Inkling,276,API,0,0,,false,true,true,,"Agentic coding, Multimodal, Reasoning",
 
 
 
 
 
 
 
 
 
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  Ministral 3 8B,Mistral,8.4,Q4_K_M,12,6,,true,true,false,ollama|llama.cpp|lm-studio,"Chat, Coding, Vision",ollama run ministral-3:8b
161
  Ministral 3 14B,Mistral,13.5,Q4_K_M,16,9.1,,true,true,false,ollama|llama.cpp|lm-studio,"Chat, Reasoning, Vision",ollama run ministral-3:14b
162
  Inkling Small,Inkling,276,API,0,0,,false,true,true,,"Agentic coding, Multimodal, Reasoning",
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+ Flint 40B-A2.5B,Flint,39.8,NVFP4,36,22.9,28,true,true,false,ollama|llama.cpp|lm-studio,"Agentic coding, Long context",ollama run flint:40b
164
+ Mellum2.1 12B-A2.5B Thinking,Mellum,12.1,Q4_K_M,16,8.1,14,true,true,false,ollama|llama.cpp|lm-studio,"Agentic coding, Small machines",
165
+ Kolibri 1,Kolibri,78.1,Q4_K_M,96,49.8,20,true,true,false,ollama|llama.cpp|lm-studio,"Reasoning, German, Long context",
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+ Kolibri 1 (IQ4_XS),Kolibri,78.1,IQ4_XS,64,43.6,20,true,true,false,ollama|llama.cpp|lm-studio,"Reasoning, German, Long context",
167
+ AREX-2 27B,AREX,27.4,Q4_K_M,32,17.2,64,true,true,false,ollama|llama.cpp|lm-studio,"Agents, Deep research, Coding",
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+ Muse Spark Open,Muse,816,API,0,0,,false,true,false,,"Agentic coding, Multimodal, Long context",
169
+ MiniMax M3.1 Flash,MiniMax,428,API,0,0,,false,true,false,,"Coding, Agentic, Computer use",
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+ Beam 1.0,Beam,501,API,0,0,,false,true,false,,"Agentic coding, Reasoning, Long context",
models.json CHANGED
@@ -11,12 +11,12 @@
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  "note": "A model fits a device when its estimatedLoadGb is within the memory budget: ~70% of unified memory up to 32GB, scaling linearly to ~85% at 128GB and above (high-RAM Macs can wire more memory to the GPU). Q4_K_M needs roughly 0.6 GB per billion parameters.",
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  "fieldSemantics": "runsLocally = a registry-verified Ollama build fits at least one consumer RAM tier tracked here (up to 256GB). openWeights = the weights are publicly downloadable. Some open-weight giants (e.g. NVIDIA Nemotron 3 Ultra, 550B, ~190GB at 2-bit) are openWeights: true but runsLocally: false because no consumer tier fits them."
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  },
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- "updated": "2026-10-21",
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  "counts": {
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- "models": 161,
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- "local": 121,
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- "cloud": 40,
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- "families": 27
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  },
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  "models": [
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  {
@@ -2917,6 +2917,146 @@
2917
  "runtimes": [],
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  "bestFor": "Agentic coding, Multimodal, Reasoning",
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  "ollamaCommand": null
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2920
  }
2921
  ]
2922
  }
 
11
  "note": "A model fits a device when its estimatedLoadGb is within the memory budget: ~70% of unified memory up to 32GB, scaling linearly to ~85% at 128GB and above (high-RAM Macs can wire more memory to the GPU). Q4_K_M needs roughly 0.6 GB per billion parameters.",
12
  "fieldSemantics": "runsLocally = a registry-verified Ollama build fits at least one consumer RAM tier tracked here (up to 256GB). openWeights = the weights are publicly downloadable. Some open-weight giants (e.g. NVIDIA Nemotron 3 Ultra, 550B, ~190GB at 2-bit) are openWeights: true but runsLocally: false because no consumer tier fits them."
13
  },
14
+ "updated": "2026-10-24",
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  "counts": {
16
+ "models": 169,
17
+ "local": 126,
18
+ "cloud": 43,
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+ "families": 32
20
  },
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  "models": [
22
  {
 
2917
  "runtimes": [],
2918
  "bestFor": "Agentic coding, Multimodal, Reasoning",
2919
  "ollamaCommand": null
2920
+ },
2921
+ {
2922
+ "model": "Flint 40B-A2.5B",
2923
+ "family": "Flint",
2924
+ "params": 39.8,
2925
+ "quantization": "NVFP4",
2926
+ "minRamGb": 36,
2927
+ "estimatedLoadGb": 22.9,
2928
+ "kvKbPerToken": 28,
2929
+ "runsLocally": true,
2930
+ "openWeights": true,
2931
+ "ggufDiy": false,
2932
+ "runtimes": [
2933
+ "ollama",
2934
+ "llama.cpp",
2935
+ "lm-studio"
2936
+ ],
2937
+ "bestFor": "Agentic coding, Long context",
2938
+ "ollamaCommand": "ollama run flint:40b"
2939
+ },
2940
+ {
2941
+ "model": "Mellum2.1 12B-A2.5B Thinking",
2942
+ "family": "Mellum",
2943
+ "params": 12.1,
2944
+ "quantization": "Q4_K_M",
2945
+ "minRamGb": 16,
2946
+ "estimatedLoadGb": 8.1,
2947
+ "kvKbPerToken": 14,
2948
+ "runsLocally": true,
2949
+ "openWeights": true,
2950
+ "ggufDiy": false,
2951
+ "runtimes": [
2952
+ "ollama",
2953
+ "llama.cpp",
2954
+ "lm-studio"
2955
+ ],
2956
+ "bestFor": "Agentic coding, Small machines",
2957
+ "ollamaCommand": null
2958
+ },
2959
+ {
2960
+ "model": "Kolibri 1",
2961
+ "family": "Kolibri",
2962
+ "params": 78.1,
2963
+ "quantization": "Q4_K_M",
2964
+ "minRamGb": 96,
2965
+ "estimatedLoadGb": 49.8,
2966
+ "kvKbPerToken": 20,
2967
+ "runsLocally": true,
2968
+ "openWeights": true,
2969
+ "ggufDiy": false,
2970
+ "runtimes": [
2971
+ "ollama",
2972
+ "llama.cpp",
2973
+ "lm-studio"
2974
+ ],
2975
+ "bestFor": "Reasoning, German, Long context",
2976
+ "ollamaCommand": null
2977
+ },
2978
+ {
2979
+ "model": "Kolibri 1 (IQ4_XS)",
2980
+ "family": "Kolibri",
2981
+ "params": 78.1,
2982
+ "quantization": "IQ4_XS",
2983
+ "minRamGb": 64,
2984
+ "estimatedLoadGb": 43.6,
2985
+ "kvKbPerToken": 20,
2986
+ "runsLocally": true,
2987
+ "openWeights": true,
2988
+ "ggufDiy": false,
2989
+ "runtimes": [
2990
+ "ollama",
2991
+ "llama.cpp",
2992
+ "lm-studio"
2993
+ ],
2994
+ "bestFor": "Reasoning, German, Long context",
2995
+ "ollamaCommand": null
2996
+ },
2997
+ {
2998
+ "model": "AREX-2 27B",
2999
+ "family": "AREX",
3000
+ "params": 27.4,
3001
+ "quantization": "Q4_K_M",
3002
+ "minRamGb": 32,
3003
+ "estimatedLoadGb": 17.2,
3004
+ "kvKbPerToken": 64,
3005
+ "runsLocally": true,
3006
+ "openWeights": true,
3007
+ "ggufDiy": false,
3008
+ "runtimes": [
3009
+ "ollama",
3010
+ "llama.cpp",
3011
+ "lm-studio"
3012
+ ],
3013
+ "bestFor": "Agents, Deep research, Coding",
3014
+ "ollamaCommand": null
3015
+ },
3016
+ {
3017
+ "model": "Muse Spark Open",
3018
+ "family": "Muse",
3019
+ "params": 816,
3020
+ "quantization": "API",
3021
+ "minRamGb": 0,
3022
+ "estimatedLoadGb": 0,
3023
+ "kvKbPerToken": null,
3024
+ "runsLocally": false,
3025
+ "openWeights": true,
3026
+ "ggufDiy": false,
3027
+ "runtimes": [],
3028
+ "bestFor": "Agentic coding, Multimodal, Long context",
3029
+ "ollamaCommand": null
3030
+ },
3031
+ {
3032
+ "model": "MiniMax M3.1 Flash",
3033
+ "family": "MiniMax",
3034
+ "params": 428,
3035
+ "quantization": "API",
3036
+ "minRamGb": 0,
3037
+ "estimatedLoadGb": 0,
3038
+ "kvKbPerToken": null,
3039
+ "runsLocally": false,
3040
+ "openWeights": true,
3041
+ "ggufDiy": false,
3042
+ "runtimes": [],
3043
+ "bestFor": "Coding, Agentic, Computer use",
3044
+ "ollamaCommand": null
3045
+ },
3046
+ {
3047
+ "model": "Beam 1.0",
3048
+ "family": "Beam",
3049
+ "params": 501,
3050
+ "quantization": "API",
3051
+ "minRamGb": 0,
3052
+ "estimatedLoadGb": 0,
3053
+ "kvKbPerToken": null,
3054
+ "runsLocally": false,
3055
+ "openWeights": true,
3056
+ "ggufDiy": false,
3057
+ "runtimes": [],
3058
+ "bestFor": "Agentic coding, Reasoning, Long context",
3059
+ "ollamaCommand": null
3060
  }
3061
  ]
3062
  }