Artificial Analysis

Independent analysis of AI

Understand the AI landscape to choose the best model and provider for your use case

Intelligence Index v4.1

Intelligence Index v4.1 features updates to GDPval-AA V2, 𝜏³-Banking, and Terminal-Bench v2.1

AA-Briefcase

A new proprietary benchmark for long-horizon knowledge work

Personalized model recommender

Get personalized recommendations based on your priorities for intelligence, speed, and cost

Explore agents for general work, coding, customer support, and more

Compare AI agents across capabilities, pricing, and platform support

Explore premium plans

Access expanded benchmark data, custom visualizations, industry reports, and more

New article published · 10 Jul

Muse Spark 1.1: Meta gains 8 Intelligence Index points in three months

New language model evaluation · 10 Jul

GLM-5.2 (Non-reasoning)

New language model evaluation · 10 Jul

Muse Spark 1.1 (xhigh)

New article published · 9 Jul

GPT-5.6 benchmarks across Intelligence, Speed and Cost

New language model evaluation · 9 Jul

JT-4.1 Flash 236B A21B

New language model evaluation · 9 Jul

GPT-5.6 Sol (xhigh)

New language model evaluation · 9 Jul

GPT-5.6 Sol (max)

New language model evaluation · 9 Jul

GPT-5.6 Sol (high)

New language model evaluation · 9 Jul

GPT-5.6 Sol (medium)

New language model evaluation · 9 Jul

GPT-5.6 Sol (low)

New language model evaluation · 9 Jul

GPT-5.6 Terra (max)

New language model evaluation · 9 Jul

GPT-5.6 Terra (xhigh)

New language model evaluation · 9 Jul

GPT-5.6 Terra (high)

New language model evaluation · 9 Jul

GPT-5.6 Terra (medium)

New language model evaluation · 9 Jul

GPT-5.6 Terra (low)

New language model evaluation · 9 Jul

GPT-5.6 Luna (max)

New language model evaluation · 9 Jul

GPT-5.6 Luna (xhigh)

New language model evaluation · 9 Jul

GPT-5.6 Luna (high)

New language model evaluation · 9 Jul

GPT-5.6 Luna (medium)

New language model evaluation · 9 Jul

GPT-5.6 Luna (low)See more

IntelligenceUpdated

Intelligence of leading AI models based on our independent evaluations

Artificial Analysis Intelligence Index v4.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Indicates whether the model weights are available. Models are labelled as 'Commercial Use Restricted' if the weights are available but commercial use is limited (typically requires obtaining a paid license).

Frontier Language Model Intelligence, Over Time

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR

Reasoning models are indicated by a lightbulb icon.

Artificial Analysis Intelligence Index v4.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Artificial Analysis Coding Agent Index

Performance, cost, and execution time for leading coding agents on end-to-end software engineering tasks

Explore Artificial Analysis Coding Agent Index

Artificial Analysis Coding Agent Index

Composite average pass@1 across DeepSWE, Terminal-Bench v2, and SWE-Atlas-QnA · Higher is better

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Image & Video Leaderboards

Top models from our Image Arena and Video Arena leaderboards, with 95% confidence intervals

Text to Image Leaderboard

Elo scores from blind preference votes in our Image Arena. See the full leaderboard here.

Speech Leaderboards

Top models from our Text to Speech Arena, Speech to Text and Speech to Speech evaluations

Text to Speech Arena Leaderboard

Elo scores from blind preference votes in our Text to Speech Arena · See the full leaderboard here.

Relative Elo score of the models as determined by responses from users in Artificial Analysis' Speech Arena. Some models may not be shown due to not yet having enough votes.

Intelligence Breakdown

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better

Reasoning models are indicated by a lightbulb icon.

While model intelligence generally translates across use cases, specific evaluations may be more relevant for certain use cases.

Artificial Analysis Intelligence Index v4.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

AA-BriefcaseNew

AA-Briefcase is a frontier agentic evaluation for long-horizon knowledge work, testing agents on realistic business workflows that require deliverables such as spreadsheets, presentations, and memos

AA-Briefcase Elo is a combined metric that aggregates analytical quality Elo, presentation Elo, and rubric pass rate, with rubric performance converted into Elo via synthetic head-to-head matches. Elo and 95% confidence interval bounds are clamped at 0.

AA-Omniscience

AA-Omniscience is a knowledge and hallucination benchmark that rewards accuracy, punishes bad guesses and provides a comprehensive view of which models produce factually reliable outputs across different domains

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct.

Artificial Analysis Openness Index

Artificial Analysis Openness Index assesses how 'open' models are on the basis of their availability and transparency across different components.

Artificial Analysis Openness Index: Components

Openness Index underlying score contribution by components, up to a maximum of 18 (higher is more open)

Reasoning models are indicated by a lightbulb icon

Artificial Analysis Openness Index vs. Artificial Analysis Intelligence Index

Most attractive quadrant

Price and Cost

Price and real-world costs of leading AI models based on our independent evaluations

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens)

Reasoning models are indicated by a lightbulb icon

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Price per token included in the request/message sent to the API, represented as USD per million Tokens.

The blended cache price shown here uses cache hit price only. Other caching costs differ by provider:

Anthropic: charges a separate cache write fee, with different rates for 5-minute and 1-hour TTLs (1-hour TTL is more expensive).
Google (Vertex/Gemini): charges a per-hour cache storage fee in addition to cache hit pricing. Some providers also use tiered pricing for prompts above 200K tokens.
OpenAI, DeepSeek, others: typically charge only cache hit pricing with no write or storage fee.

See Prompt Caching for the full breakdown.

Price per token generated by the model (received from the API), represented as USD per million Tokens.

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Speed & Latency

Comparison of first-party API performance

API Provider Performance

Output Speed vs. Price: gpt-oss-120b (high)

Output tokens per second · USD per 1M tokens (blended) · 10,000 input tokens

Most attractive quadrant

Reasoning models are indicated by a lightbulb icon.

Smaller, emerging providers are offering high output speed and at competitive prices.

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

Pricing (Cache Hit, Input, and Output): gpt-oss-120b (high)

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Price per token included in the request/message sent to the API, represented as USD per million Tokens.

The blended cache price shown here uses cache hit price only. Other caching costs differ by provider:

Anthropic: charges a separate cache write fee, with different rates for 5-minute and 1-hour TTLs (1-hour TTL is more expensive).
Google (Vertex/Gemini): charges a per-hour cache storage fee in addition to cache hit pricing. Some providers also use tiered pricing for prompts above 200K tokens.
OpenAI, DeepSeek, others: typically charge only cache hit pricing with no write or storage fee.

See Prompt Caching for the full breakdown.

Price per token generated by the model (received from the API), represented as USD per million Tokens.

Output Speed: gpt-oss-120b (high)

Output speed: output tokens per second · 10,000 input tokens

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).