Opus 5 is currently #1 on Artificial Analysis Intelligence Leaderboard
Hacker News•July 24, 2026•7 min read•2 views
Artificial Analysis K Comparison of Models: Intelligence, Performance & Price Analysis Microevals Playground Comparison and analysis of AI models across key performance metrics including quality, price, output speed, latency, context window & others. Click on any model to see detailed metrics. For more details including relating to our methodology, see our FAQs. Intelligence Claude Opus 5 (max) and Claude Opus 5 (xhigh) are the highest intelligence models, followed by Claude Fable 5 (with fallback) and GPT-5.6 Sol (max) . Output Speed (tokens/s) Mercury 2 (902 t/s) and HyperNova 60B 2605 (440 t/s) are the fastest models, followed by Gemini 3.5 Flash-Lite and Granite 4.0 H Small . Latency (seconds) Gemini 2.5 Flash-Lite (0.33s) and Command A+ (0.42s) are the lowest latency models, followed by North Mini Code and Gemini 2.5 Flash . Price ($ per M tokens) Devstral 2 ($0.00) and North Mini Code ($0.00) are the cheapest models, followed by Gemma 3 4B and Gemma 3 27B . Context Window Llama 4 Scout (10M) and Grok 4.20 0309 (2M) are the largest context window models, followed by Gemini 1.5 Pro (May) and Grok 4.1 Fast . Highlights
Intelligence Artificial Analysis Intelligence Index Coding Index Agentic Index Artificial Analysis Intelligence Index 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 28 of 586 models Add model from specific provider Reasoning models are indicated by a lightbulb icon Artificial Analysis Intelligence Index 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.
28 of 586 models Add model from specific provider Proprietary Open Weights Open Weights (Commercial Use Restricted) Reasoning models are indicated by a lightbulb icon Artificial Analysis Intelligence Index 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.
Open Weights 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).
18 of 22 evaluations 28 of 586 models Add model from specific provider GDPval-AA v2 Agentic real-world work tasks, (Elo-500)/2000
Reasoning models are indicated by a lightbulb icon Intelligence Evaluation Relevance While model intelligence generally translates across use cases, specific evaluations may be more relevant for certain use cases.
Artificial Analysis Intelligence Index 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.
25 of 56 models Add model from specific provider Reasoning models are indicated by a lightbulb icon AA-Briefcase Elo 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.
27 of 456 models Add model from specific provider Reasoning models are indicated by a lightbulb icon AA-Omniscience Index 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.
13 of 291 models Add model from specific provider Reasoning models are indicated by a lightbulb icon Intelligence Index Comparisons Intelligence Index vs. Cost per Task Intelligence Index vs. Time per Task Intelligence Index vs. Output Speed Intelligence Index vs. End-to-End Response Time Intelligence Index vs. Cost per Intelligence Index Task Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task 28 of 586 models Most attractive quadrant Xiaomi Google Anthropic MiniMax OpenAI NVIDIA Alibaba SpaceXAI DeepSeek Meta Mistral Z AI Kimi Reasoning models are indicated by a lightbulb icon Cost per Intelligence Index Task Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.
Artificial Analysis Intelligence Index 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.
28 of 586 models Answer Reasoning Reasoning models are indicated by a lightbulb icon Output Tokens per Intelligence Index Task The number of tokens required per Intelligence Index task. This is calculated by multiplying the output tokens per eval by the relative weights of each benchmark in the Intelligence Index, then dividing by task count (excluding repeats).
28 of 586 models Answer Reasoning Cache Write Cache Hit Input Reasoning models are indicated by a lightbulb icon Cost per Intelligence Index Task Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.
28 of 586 models Add model from specific provider Output Reasoning Cache Write Cache Read Non-Cache Input Reasoning models are indicated by a lightbulb icon Cost to Run Artificial Analysis Intelligence Index The cost to run the evaluations in the Artificial Analysis Intelligence Index, calculated using the model's input, cache hit, cache write, reasoning, and answer token prices and the number of tokens used across evaluations (excluding repeats).
28 of 586 models Add model from specific provider Cache Hit Input Output Reasoning models are indicated by a lightbulb icon Cache Hit 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.
Input Price Price per token included in the request/message sent to the API, represented as USD per million Tokens.
Cache Pricing by Provider The blended cache price shown here uses cache hit price only. Other caching costs differ by provider:
See Prompt Caching for the full breakdown.
Output Price Price per token generated by the model (received from the API), represented as USD per million Tokens.
Model Performance Representation 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).
28 of 586 models Add model from specific provider Reasoning models are indicated by a lightbulb icon Context Window for RAG Larger context windows are relevant to RAG (Retrieval Augmented Generation) LLM workflows which typically involve reasoning and information retrieval of large amounts of data.
Context Window Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).
Measured by Output Speed (tokens per second)
28 of 586 models Add model from specific provider Reasoning models are indicated by a lightbulb icon Output Speed 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).
Model Performance Representation 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).
Hacker NewsJuly 24, 20267 min read2 views