AI model comparison: intelligence vs. price

Which LLM is smartest, and which one is worth what it costs? This chart plots 29 of the 30 large language models we track by their intelligence score and their price per million tokens, so you can compare AI models from 14 labs at a glance. Look top-left for the best LLM for the price, top-right for the frontier, and click any model to try it against others on your own prompt.

Hover a dot for details. Click it to start a comparison with that model.

Intelligence: the Artificial Analysis Intelligence Index at each model's highest effort. Models without a score yet sit in the lane under the chart, placed by price. Price: blended per 1M tokens, 3 parts input to 1 part output. Lines at $2 blended and the median score (39.5).

The four quadrants

The chart splits at $2 per 1M tokens and at the median intelligence score of 39.5. Where a model lands tells you what it is good for.

Frontier: the smartest, at a price

Score 39.5 or higher and cost $2 or more. The most capable models, for hard reasoning, coding and agents.

Workhorses: cheap for high volume

Score under 39.5 and cost under $2. Cheap and fast for high-volume work like extraction, tagging and chat.

Hard to justify: costs more, scores lower

Score under 39.5 and cost $2 or more. Something cheaper scores as well or better, unless you need a specific feature.

Not scored yet: Gemma 4 31B IT. They sit in the "No score yet" lane under the chart, placed by price, and in the table below.

LLM comparison table

Every model with its intelligence score, blended price, context window and release month, ranked by score. Click a column to sort by it, or pick a model to open it in the side-by-side comparison.

AI models by intelligence, price per 1M tokens, context window and release month. Column headers sort the table.
Claude Opus 5.5Anthropic57.6$81MSep 2026Closed
Claude Sonnet 5.5Anthropic56$41MSep 2026Closed
Claude Fable 5.1Anthropic53.4$201MSep 2026Closed
GPT-6 AstraOpen AI52.7$201.05MSep 2026Closed
Gemini 4 ArgonGoogle52.6$41.05MOct 2026Closed
GPT-6.1 SolOpen AI51.8$41.05MSep 2026Closed
Grok 4.7XAI46.4$3500KSep 2026Closed
MiMo V2.6 ProXiaomi46.3$0.541.05MSep 2026Open
GLM 5.3Z.ai44.8$2.151MAug 2026Open
Kimi K3Kimi43.6$61.05MJul 2026Open
Claude Haiku 5.5Anthropic43.4$0.201MOct 2026Closed
GLM 5.3 FlashZ.ai41.8$0.241MAug 2026Open
Gemini 3.8 FlashGoogle40.9$1.501.05MSep 2026Closed
Qwen3.8 2.4T A95BAlibaba39.9$3262KAug 2026Open
DeepSeek V4.1 FlashDeepSeek39.5$0.261MSep 2026Open
Muse Spark OpenMeta38.9$21.05MOct 2026Open
Mistral Large 4Mistral AI38.4$1.031.05MOct 2026Closed
GPT-6 LunaOpen AI38.1$0.201.05MSep 2026Closed
MiMo V2.6 FlashXiaomi37.9$0.181.05MSep 2026Open
DeepSeek V4 ProDeepSeek36$0.991MAug 2026Open
Qwen3.8 27BAlibaba33.7$1.131MAug 2026Open
MiniMax M3MiniMax29.2$0.52512KJun 2026Open
Kimi K2.7 CodeKimi25.8$1.71262KJun 2026Open
Inkling SmallThinking Machines25.7$0.641MJul 2026Open
Nemotron 3 UltraNVIDIA22.9$1.051MJun 2026Open
Gemini 3.5 Flash LiteGoogle22.2$0.851.05MJul 2026Closed
Mistral Medium 3.5Mistral AI14.2$3262KApr 2026Open
GPT OSS 120BOpen AI11.6$0.20131KAug 2025Open
Mistral Small 4Mistral AI11.3$0.26262KMar 2026Open
Gemma 4 31B ITGoogle—$0.21262KApr 2026Open

Popular head-to-head comparisons

Frequently asked questions

What is the smartest AI model?

Of the 30 models we track, Claude Opus 5.5 from Anthropic has the highest Artificial Analysis Intelligence Index score at 57.6, for $8 per 1M tokens blended. Next are Claude Sonnet 5.5 (56) and Claude Fable 5.1 (53.4).

What is the cheapest good LLM?

Counting only models that score at or above the median of 39.5, Claude Haiku 5.5 is the cheapest at $0.20 per 1M tokens blended, with a score of 43.4.

What is the best LLM for the price?

Under $2 per 1M tokens, MiMo V2.6 Pro scores highest at 46.3, for $0.54 per 1M tokens blended. That is 80% of Claude Opus 5.5's score at 7% of its price.

What is the smartest open-weights model?

MiMo V2.6 Pro from Xiaomi is the highest-scoring open-weights model, at 46.3, for $0.54 per 1M tokens blended.

How is price calculated?

Prices are blended per 1M tokens, weighted 3 parts input to 1 part output: (3 × input price + output price) ÷ 4. For example, Claude Opus 5.5 charges $4 per 1M input tokens and $20 per 1M output tokens, which blends to $8. The chart splits models at $2 blended and at the median intelligence score.