Artificial Analysis API Documentation
Overview & Access
Artificial Analysis provides a APIs to support analysis of AI models and in making informed decisions about which AI models to use.
We offer a free API focused on model benchmarks and a commercial API with more comprehensive data.
To access our free API, create an account in the Artificial Analysis Insights Platform and generate an API key.
When integrating with our API, we recommend using model and creator IDs as primary identifiers since they remain stable, while slugs and names may change over time.
Attribution & Sharing of Data
Attribution is required for all use of our free API. Please provide attribution to https://artificialanalysis.ai/.
If you wish to include our logo in your materials, you can download our brand kit here: Artificial Analysis Brand Kit.
Methodology
For details on how benchmarks are conducted, see our methodology.
Authentication
Include your API key in the x-api-key header.
To obtain an API key, create an account in the Artificial Analysis Insights Platform and generate an API key.
Commercial API
In addition to the free API focused on model benchmarks that we offer, we also offer a commercial API with more comprehensive data.
Data included in our commercial API includes:
- Data Non-language modalities (Speech to Text, Text to Speech, Speech to Speech, Text to Image, Text to Video)
- Performance benchmarks of different prompt lengths (e.g. 10k input, 100k, input)
- API Provider-level benchmarks (e.g. Azure, Amazon Bedrock, Together.ai, etc.)
- Other data
Free API
Our free API is focused on sharing primary metrics from our independent benchmarks of models. This includes our independent intelligence evaluations, speed benchmarks and pricing.
The API is rate-limited to 1,000 requests per day. To avoid publicly sharing keys and rate limits, please do not include in client side code and cache responses.
Models Endpoint
Response Fields
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier (stable) |
name | string | Full name (may change) |
slug | string | URL-friendly identifier (infrequently changed) |
model_creator | object | Creator information (id, name, slug) |
evaluations | object | Benchmark scores |
pricing | object | Price per million tokens ($USD) |
median_output_tokens_per_second | number | Output generation speed (tokens per second) |
median_time_to_first_token_seconds | number | Time to first token (seconds) |
median_time_to_first_answer_token | number | Time to first answer token (seconds, different from time to first token for reasoning models which share reasoning tokens) |
Example Request
curl -X GET https://artificialanalysis.ai/api/v2/data/llms/models \
-H "x-api-key: your_api_key_here"Example Response
{
"status": 200,
"prompt_options": {
"parallel_queries": 1,
"prompt_length": "medium"
},
"data": [
{
"id": "2dad8957-4c16-4e74-bf2d-8b21514e0ae9",
"name": "o3-mini",
"slug": "o3-mini",
"release_date": "2025-01-31",
"model_creator": {
"id": "e67e56e3-15cd-43db-b679-da4660a69f41",
"name": "OpenAI",
"slug": "openai"
},
"evaluations": {
"artificial_analysis_intelligence_index": 62.9,
"artificial_analysis_coding_index": 55.8,
"artificial_analysis_math_index": 87.2,
"mmlu_pro": 0.791,
"gpqa": 0.748,
"hle": 0.087,
"livecodebench": 0.717,
"scicode": 0.399,
"math_500": 0.973,
"aime": 0.77
},
"pricing": {
"price_1m_blended_3_to_1": 1.925,
"price_1m_input_tokens": 1.1,
"price_1m_output_tokens": 4.4
},
"median_output_tokens_per_second": 153.831,
"median_time_to_first_token_seconds": 14.939,
"median_time_to_first_answer_token": 14.939
},
// Other models...
]
}