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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 4 new columns ({'date', 'model_id', 'event', 'changes'}) and 6 missing columns ({'released', 'status', 'id', 'last_updated', 'pricing_url', 'open_source'}).

This happened while the csv dataset builder was generating data using

hf://datasets/modelpricewatch/llm-token-price-history/price_history.csv (at revision 49024698f7329c996e7be8d0415d70d381d086f4), ['hf://datasets/modelpricewatch/llm-token-price-history@49024698f7329c996e7be8d0415d70d381d086f4/models.csv', 'hf://datasets/modelpricewatch/llm-token-price-history@49024698f7329c996e7be8d0415d70d381d086f4/price_history.csv', 'hf://datasets/modelpricewatch/llm-token-price-history@49024698f7329c996e7be8d0415d70d381d086f4/price_index.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              model_id: string
              model: string
              provider: string
              date: string
              event: string
              input_per_mtok: double
              output_per_mtok: double
              cached_input_per_mtok: double
              context_window: double
              changes: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1486
              to
              {'id': Value('string'), 'model': Value('string'), 'provider': Value('string'), 'status': Value('string'), 'input_per_mtok': Value('float64'), 'output_per_mtok': Value('float64'), 'cached_input_per_mtok': Value('float64'), 'context_window': Value('float64'), 'open_source': Value('bool'), 'released': Value('string'), 'last_updated': Value('string'), 'pricing_url': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 4 new columns ({'date', 'model_id', 'event', 'changes'}) and 6 missing columns ({'released', 'status', 'id', 'last_updated', 'pricing_url', 'open_source'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/modelpricewatch/llm-token-price-history/price_history.csv (at revision 49024698f7329c996e7be8d0415d70d381d086f4), ['hf://datasets/modelpricewatch/llm-token-price-history@49024698f7329c996e7be8d0415d70d381d086f4/models.csv', 'hf://datasets/modelpricewatch/llm-token-price-history@49024698f7329c996e7be8d0415d70d381d086f4/price_history.csv', 'hf://datasets/modelpricewatch/llm-token-price-history@49024698f7329c996e7be8d0415d70d381d086f4/price_index.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

id
string
model
string
provider
string
status
string
input_per_mtok
float64
output_per_mtok
float64
cached_input_per_mtok
null
context_window
float64
open_source
bool
released
string
last_updated
string
pricing_url
string
01ai-yi-large
Yi Large
01.AI
Current
3
9
null
32,000
false
2024-07-01
2026-06-25
https://openrouter.ai/01-ai/yi-large
ai21-jamba-large
Jamba Large
AI21 Labs
Current
2
8
null
256,000
true
2025-06-01
2026-06-25
https://www.ai21.com/pricing
ai21-jamba-mini
Jamba Mini
AI21 Labs
Current
0.2
0.4
null
256,000
true
2025-06-01
2026-06-25
https://www.ai21.com/pricing
alibaba-qwen-flash
Qwen-Flash
Alibaba
Current
0.05
0.4
null
1,000,000
false
2025-10-01
2026-07-28
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen-plus
Qwen-Plus
Alibaba
Current
0.4
1.2
null
131,072
false
2025-10-01
2026-06-25
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen-turbo
Qwen-Turbo
Alibaba
Current
0.05
0.2
null
1,000,000
false
2025-10-01
2026-06-25
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-32b
Qwen3-32B
Alibaba
Current
0.16
0.64
null
131,072
true
2025-04-28
2026-08-07
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-5-397b-a17b
Qwen3.5-397B-A17B
Alibaba
Current
0.6
3.6
null
262,144
true
2026-02-16
2026-08-07
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-6-27b
Qwen3.6-27B
Alibaba
Current
0.6
3.6
null
262,144
true
2026-04-27
2026-08-07
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-6-flash
Qwen3.6-Flash
Alibaba
Current
0.25
1.5
null
1,000,000
false
2026-04-16
2026-08-06
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-6-plus
Qwen3.6-Plus
Alibaba
Current
0.5
3
null
1,000,000
false
2026-04-02
2026-08-07
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-7-flash
Qwen3.7-Flash
Alibaba
Current
0.03
0.13
null
1,000,000
false
2026-07-15
2026-08-06
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-7-max
Qwen3.7-Max
Alibaba
Current
2.5
7.5
null
1,000,000
false
2026-05-20
2026-07-25
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-7-plus
Qwen3.7-Plus
Alibaba
Current
0.4
1.6
null
1,000,000
false
2026-05-26
2026-08-06
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-8-max
Qwen3.8-Max
Alibaba
Current
2
6
null
1,000,000
false
2026-08-03
2026-08-03
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwen3-max
Qwen3-Max
Alibaba
Current
1.2
6
null
262,144
false
2026-01-01
2026-06-27
https://www.alibabacloud.com/help/en/model-studio/model-pricing
alibaba-qwq-plus
QwQ-Plus
Alibaba
Current
0.8
2.4
null
131,072
false
2025-10-01
2026-06-25
https://www.alibabacloud.com/help/en/model-studio/model-pricing
amazon-nova-lite
Nova Lite
Amazon
Current
0.06
0.24
null
300,000
false
2024-12-03
2026-06-25
https://aws.amazon.com/nova/pricing/
amazon-nova-micro
Nova Micro
Amazon
Current
0.035
0.14
null
128,000
false
2024-12-03
2026-06-25
https://aws.amazon.com/nova/pricing/
amazon-nova-premier
Nova Premier
Amazon
Deprecated
2.5
12.5
null
1,000,000
false
2024-12-03
2026-06-25
https://aws.amazon.com/nova/pricing/
amazon-nova-pro
Nova Pro
Amazon
Current
0.8
3.2
null
300,000
false
2024-12-03
2026-06-25
https://aws.amazon.com/nova/pricing/
anthropic-claude-fable-5
Claude Fable 5
Anthropic
Current
10
50
null
1,000,000
false
2026-06-09
2026-07-02
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-haiku-3-5
Claude Haiku 3.5
Anthropic
Retired
0.8
4
null
200,000
false
2024-10-15
2026-06-25
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-haiku-4-5
Claude Haiku 4.5
Anthropic
Current
1
5
null
200,000
false
2025-10-15
2026-06-25
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-mythos-5
Claude Mythos 5
Anthropic
Current
10
50
null
1,000,000
false
2026-06-09
2026-06-27
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-opus-4-1
Claude Opus 4.1
Anthropic
Retired
15
75
null
200,000
false
2025-05-22
2026-06-25
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-opus-4-5
Claude Opus 4.5
Anthropic
Current
5
25
null
200,000
false
2025-05-22
2026-06-25
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-opus-4-6
Claude Opus 4.6
Anthropic
Current
5
25
null
1,000,000
false
2026-02-05
2026-06-25
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-opus-4-7
Claude Opus 4.7
Anthropic
Current
5
25
null
1,000,000
false
2026-04-16
2026-06-25
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-opus-4-8
Claude Opus 4.8
Anthropic
Current
5
25
null
1,000,000
false
2026-05-28
2026-06-25
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-opus-5
Claude Opus 5
Anthropic
Current
5
25
null
1,000,000
false
2026-07-24
2026-07-24
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-sonnet-4-5
Claude Sonnet 4.5
Anthropic
Current
3
15
null
200,000
false
2025-09-29
2026-06-25
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-sonnet-4-6
Claude Sonnet 4.6
Anthropic
Current
3
15
null
1,000,000
false
2026-01-15
2026-06-25
https://platform.claude.com/docs/en/about-claude/pricing
anthropic-claude-sonnet-5
Claude Sonnet 5
Anthropic
Current
2
10
null
1,000,000
false
2026-06-30
2026-06-30
https://platform.claude.com/docs/en/about-claude/pricing
baichuan-m2-32b
Baichuan M2-32B
Baichuan
Current
0.07
0.07
null
32,768
true
2025-06-01
2026-06-25
https://www.requesty.ai/models/novita/baichuan-baichuan-m2-32b
cohere-command-a
Command A
Cohere
Current
2.5
10
null
256,000
false
2025-03-13
2026-07-04
https://cohere.com/pricing
cohere-command-r-03-2024
Command R 03-2024
Cohere
Deprecated
0.5
1.5
null
128,000
false
2024-03-01
2026-06-25
https://cohere.com/pricing
cohere-command-r-08-2024
Command R 08-2024
Cohere
Current
0.15
0.6
null
128,000
false
2024-08-01
2026-06-25
https://cohere.com/pricing
cohere-command-r-plus-08-2024
Command R+ 08-2024
Cohere
Current
2.5
10
null
128,000
false
2024-08-01
2026-06-25
https://cohere.com/pricing
cohere-embed-4
Embed 4
Cohere
Current
0.12
null
null
null
false
2025-06-01
2026-06-25
https://cohere.com/pricing
cohere-rerank-3-5
Rerank 3.5
Cohere
Current
0.02
null
null
null
false
2025-03-01
2026-06-25
https://cohere.com/pricing
deepinfra-deepseek-v4-flash
DeepSeek V4 Flash
DeepInfra
Current
0.09
0.18
null
1,000,000
false
2026-04-24
2026-07-10
https://deepinfra.com/pricing
deepinfra-llama-4-maverick
Llama 4 Maverick
DeepInfra
Current
0.2
0.8
null
1,000,000
true
2025-04-06
2026-07-28
https://deepinfra.com/pricing
deepinfra-llama-4-scout
Llama 4 Scout
DeepInfra
Current
0.1
0.3
null
10,000,000
true
2025-04-06
2026-07-10
https://deepinfra.com/pricing
deepinfra-nvidia-nemotron-70b-instruct
Nemotron 70B Instruct
DeepInfra
Retired
1.2
1.2
null
128,000
true
2025-06-01
2026-08-08
https://deepinfra.com/blog/nvidia-nemotron-api-pricing-guide-2026
deepinfra-qwen3-32b
Qwen3 32B
DeepInfra
Current
0.08
0.28
null
128,000
true
2026-01-01
2026-07-10
https://deepinfra.com/pricing
deepseek-v4-flash
DeepSeek V4 Flash
DeepSeek
Current
0.14
0.28
null
1,000,000
false
2026-04-24
2026-06-25
https://api-docs.deepseek.com/quick_start/pricing
deepseek-v4-pro
DeepSeek V4 Pro
DeepSeek
Current
0.435
0.87
null
1,000,000
false
2026-04-24
2026-06-25
https://api-docs.deepseek.com/quick_start/pricing
fireworks-deepseek-v4-flash
DeepSeek V4 Flash
Fireworks
Current
0.14
0.28
null
1,000,000
false
2026-04-24
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-deepseek-v4-pro
DeepSeek V4 Pro
Fireworks
Current
1.74
3.48
null
1,000,000
false
2026-04-24
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-glm-5-1
GLM 5.1
Fireworks
Current
1.4
4.4
null
128,000
true
2025-10-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-glm-5-2
GLM 5.2
Fireworks
Current
1.4
4.4
null
1,000,000
true
2026-06-13
2026-07-19
https://docs.fireworks.ai/serverless/pricing
fireworks-gpt-oss-120b
GPT OSS 120B
Fireworks
Current
0.15
0.6
null
128,000
true
2026-01-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-gpt-oss-20b
GPT OSS 20B
Fireworks
Current
0.07
0.3
null
128,000
true
2026-01-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-kimi-k2-5
Kimi K2.5
Fireworks
Current
0.6
3
null
256,000
true
2025-07-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-kimi-k2-6
Kimi K2.6
Fireworks
Current
0.95
4
null
256,000
true
2025-10-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-kimi-k2-7-code
Kimi K2.7 Code
Fireworks
Current
0.95
4
null
256,000
true
2026-06-12
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-minimax-2-5
MiniMax 2.5
Fireworks
Current
0.3
1.2
null
128,000
true
2025-07-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-minimax-2-7
MiniMax 2.7
Fireworks
Current
0.3
1.2
null
128,000
true
2025-10-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-minimax-m3
MiniMax M3
Fireworks
Current
0.3
1.2
null
1,000,000
true
2026-06-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-nemotron-3-ultra
NVIDIA Nemotron 3 Ultra
Fireworks
Current
0.6
2.4
null
128,000
true
2026-01-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-qwen3-6-plus
Qwen 3.6 Plus
Fireworks
Current
0.5
3
null
128,000
true
2026-01-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
fireworks-qwen3-7-plus
Qwen 3.7 Plus
Fireworks
Current
0.4
1.6
null
128,000
true
2026-01-01
2026-06-25
https://docs.fireworks.ai/serverless/pricing
google-gemini-2-5-flash
Gemini 2.5 Flash
Google
Deprecated
0.3
2.5
null
1,000,000
false
2025-06-17
2026-07-04
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-2-5-flash-lite
Gemini 2.5 Flash-Lite
Google
Deprecated
0.1
0.4
null
1,000,000
false
2025-07-22
2026-06-25
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-2-5-pro
Gemini 2.5 Pro
Google
Deprecated
1.25
10
null
2,000,000
false
2025-06-17
2026-06-25
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-3-1-flash-image
Gemini 3.1 Flash Image
Google
Current
0.5
60
null
null
false
2026-05-28
2026-08-01
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-3-1-flash-lite
Gemini 3.1 Flash-Lite
Google
Deprecated
0.25
1.5
null
1,000,000
false
2026-05-07
2026-08-01
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-3-1-flash-lite-image
Gemini 3.1 Flash Lite Image
Google
Current
0.25
30
null
null
false
2026-06-30
2026-08-01
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-3-1-pro
Gemini 3.1 Pro
Google
Current
2
12
null
2,000,000
false
2026-02-19
2026-07-04
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-3-5-flash
Gemini 3.5 Flash
Google
Current
1.5
9
null
1,000,000
false
2026-05-19
2026-06-25
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-3-5-flash-lite
Gemini 3.5 Flash-Lite
Google
Current
0.3
2.5
null
1,000,000
false
2026-07-21
2026-07-28
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-3-6-flash
Gemini 3.6 Flash
Google
Current
1.5
7.5
null
1,000,000
false
2026-07-21
2026-07-21
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-3-flash-preview
Gemini 3 Flash Preview
Google
Preview
0.5
3
null
1,048,576
false
2025-12-17
2026-07-08
https://ai.google.dev/gemini-api/docs/pricing
google-gemini-3-pro-image
Gemini 3 Pro Image
Google
Current
2
120
null
null
false
2026-05-28
2026-08-01
https://ai.google.dev/gemini-api/docs/pricing
google-text-embedding-004
text-embedding-004
Google
Retired
0.025
null
null
2,048
false
2024-04-09
2026-06-25
https://ai.google.dev/gemini-api/docs/pricing
groq-gpt-oss-120b
GPT-OSS 120B
Groq
Current
0.15
0.6
null
128,000
true
2026-01-01
2026-07-04
https://console.groq.com/docs/models
groq-gpt-oss-20b
GPT-OSS 20B
Groq
Current
0.075
0.3
null
128,000
true
2026-01-01
2026-07-04
https://console.groq.com/docs/models
groq-llama-3-1-8b-instant
Llama 3.1 8B Instant
Groq
Deprecated
0.05
0.08
null
128,000
true
2024-07-23
2026-07-04
https://console.groq.com/docs/models
groq-llama-3-3-70b-versatile
Llama 3.3 70B Versatile
Groq
Deprecated
0.59
0.79
null
128,000
true
2024-12-06
2026-07-04
https://console.groq.com/docs/models
groq-llama-4-scout
Llama 4 Scout
Groq
Retired
0.11
0.34
null
10,000,000
true
2025-04-06
2026-07-04
https://console.groq.com/docs/models
groq-qwen-3-6-27b
Qwen 3.6 27B
Groq
Current
0.6
3
null
128,000
true
2026-01-01
2026-07-04
https://console.groq.com/docs/models
groq-qwen3-32b
Qwen3 32B
Groq
Current
0.29
0.59
null
128,000
true
2026-01-01
2026-07-04
https://console.groq.com/docs/models
ibm-granite-4-0-micro
Granite 4.0 Micro
IBM
Current
0.017
0.112
null
128,000
true
2025-10-19
2026-06-25
https://www.ibm.com/products/watsonx-ai/pricing
ibm-granite-4-h-large
Granite 4 H Large
IBM
Current
0.3
1.2
null
128,000
true
2025-10-19
2026-06-25
https://www.ibm.com/products/watsonx-ai/pricing
ibm-granite-4-h-medium
Granite 4 H Medium
IBM
Current
0.15
0.6
null
128,000
true
2025-10-19
2026-06-25
https://www.ibm.com/products/watsonx-ai/pricing
ibm-granite-4-h-small
Granite 4 H Small
IBM
Current
0.06
0.25
null
128,000
true
2025-10-19
2026-06-25
https://www.ibm.com/products/watsonx-ai/pricing
ibm-granite-embedding-278m
Granite Embedding 278M Multilingual
IBM
Current
0.106
null
null
null
true
2025-06-01
2026-06-25
https://www.ibm.com/products/watsonx-ai/pricing
meituan-longcat-2
LongCat-2.0
Meituan
Current
0.75
2.95
null
262,144
true
2026-06-30
2026-07-06
https://longcat.ai/platform/docs/Pricing/LongCat-2.0.html
meta-llama-3-1-8b
Llama 3.1 8B
Meta
Current
0.05
0.08
null
128,000
true
2024-07-23
2026-06-25
https://console.groq.com/docs/models
meta-llama-3-3-70b
Llama 3.3 70B
Meta
Current
0.59
0.79
null
128,000
true
2024-12-06
2026-06-25
https://console.groq.com/docs/models
meta-llama-4-scout
Llama 4 Scout
Meta
Current
0.11
0.34
null
10,000,000
true
2025-04-06
2026-06-25
https://console.groq.com/docs/models
meta-muse-spark-1-1
Muse Spark 1.1
Meta
Current
1.25
4.25
null
1,048,576
false
2026-07-09
2026-08-01
https://ai.developer.meta.com/docs/pricing-rate-limits
meta-muse-spark-1-2
Muse Spark 1.2
Meta
Current
1.25
4.25
null
1,048,576
false
2026-08-05
2026-08-06
https://ai.developer.meta.com/docs/pricing-rate-limits
minimax-m2
MiniMax-M2
MiniMax
Retired
0.3
1.2
null
205,000
true
2025-01-01
2026-07-28
https://platform.minimax.io/docs/guides/pricing-paygo
minimax-m2-1
MiniMax-M2.1
MiniMax
Retired
0.3
1.2
null
205,000
true
2025-04-01
2026-07-28
https://platform.minimax.io/docs/guides/pricing-paygo
minimax-m2-5
MiniMax-M2.5
MiniMax
Retired
0.3
1.2
null
205,000
true
2025-07-01
2026-07-28
https://platform.minimax.io/docs/guides/pricing-paygo
minimax-m2-7
MiniMax-M2.7
MiniMax
Current
0.3
1.2
null
205,000
true
2025-10-01
2026-06-25
https://platform.minimax.io/docs/guides/pricing-paygo
minimax-m3
MiniMax-M3
MiniMax
Current
0.3
1.2
null
1,000,000
true
2026-06-01
2026-06-25
https://platform.minimax.io/docs/guides/pricing-paygo
mistral-codestral
Codestral
Mistral
Current
0.3
0.9
null
256,000
false
2024-05-29
2026-06-25
https://mistral.ai/pricing
End of preview.

LLM Token Price History

A tidy, daily-snapshotted time series of large-language-model token prices (input / output / cached, per 1M tokens) and context windows, across 200 models from every major provider — plus the current models table and the LLM Price Index series computed from it.

Coverage: 7724 snapshots spanning 2024-02-05 → 2026-08-09.

Frontier intelligence costs $4.32 per million tokens — -5.5% since Feb 23, 2026, flat for 5 days.

— The LLM Price Index — ModelPriceWatch, 2026-08-09 · modelpricewatch.com/price-index/

Read the dated report built from this data: State of LLM Pricing — August 2026 · live index: https://modelpricewatch.com/price-index/

Files

file contents
price_history.csv one row per (model, snapshot) — the full price time series
models.csv the current models table: 198 models, 30 providers, list prices + context windows
price_index.csv the LLM Price Index series (chain-linked; rescaled so the latest point equals the published headline)

Columns (price_history.csv)

column meaning
model_id canonical ModelPriceWatch slug
model / provider display name + provider
date snapshot date (UTC)
event baseline, snapshot, price_change, new_model, …
input_per_mtok / output_per_mtok / cached_input_per_mtok USD per 1M tokens (null = not offered)
context_window max context (tokens)
changes human-readable diff vs. prior snapshot

Source & updates

Maintained by ModelPriceWatch, an independent AI-model price tracker. Live prices, per-model history charts, the LLM Price Index with its methodology, and a free CORS-open API (including /api/v1/price-index.json, which carries the same dated citation string as this card).

Disclosure: I maintain the site. This dataset is published and maintained by the operator of ModelPriceWatch. Prices are captured from public provider pricing pages; see each model page on the site for per-price provenance.

License

CC-BY-4.0 — free to use with attribution to ModelPriceWatch (https://modelpricewatch.com).

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