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Frontier models, benchmarked continuously.

Quality, cost and speed for the leading AI models — refreshed on a live cycle · last updated 2026-08-23.

Intelligence, coding & agentic indexes

Composite indexes by Artificial Analysis · price per 1M tokens (input / output)

# Model Intelligence Coding Agentic $ / 1M in $ / 1M out
1 Claude Opus 5 (Adaptive Reasoning, Max Effort) 63.1 78 59.2 $5.50 $27.50
2 Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) 62.1 76.5 56.6 $11.00 $55.00
3 GPT-5.6 Sol (max) 60.9 77.4 57.8 $5.50 $33.00
4 Grok 4.6 (high) 60.9 76.8 58.7 $2.00 $6.00
5 Kimi K3 (max) 59.7 76.2 54.3 $2.80 $14.00
6 GLM-5.3 (max) 59.5 74.8 59.1 $1.40 $4.40
7 Qwen3.8 Max 58.1 71.8 58.4 $2.00 $6.00
8 Qwen3.8 2.4T A95B 57.7 71.9 57.1 $2.00 $6.00
9 Claude Opus 4.8 (Adaptive Reasoning, Max Effort) 57.3 74.3 49.4 $5.50 $27.50
10 Muse Spark 1.2 (xhigh) 56.8 72.2 49.3 $1.25 $4.25
11 GPT-5.6 Terra (max) 56.6 76.7 50.2 $2.20 $13.20
12 GPT-5.5 (xhigh) 56.3 74.9 47.4 $5.50 $33.00
13 Gemini 3.7 Flash (high) 56 76.1 45.1 $0.190 $0.940
14 Grok 4.5 (high) 55.8 72.4 48.9 $2.00 $6.00
15 Claude Sonnet 5 (Adaptive Reasoning, Max Effort) 55.3 71.5 49.7 $2.20 $11.00
16 Claude Opus 4.7 (Adaptive Reasoning, Max Effort) 55 73.6 46.3 $5.50 $27.50
17 Muse Spark 1.1 (xhigh) 53.2 71.3 39.7 $1.25 $4.25
18 DeepSeek V4 Pro 0813 (Reasoning, Max Effort) 53.2 68.8 49.6 $1.32 $3.96
19 GPT-5.4 (xhigh) 53.1 71.1 44.2 $2.75 $16.50
20 GLM-5.2 (max) 52.6 68.8 45.7 $0.500 $3.15
21 GPT-5.6 Luna (max) 52.3 71.4 46.9 $0.220 $1.32
22 Gemini 3.5 Flash (high) 52 70.1 39.7 $1.65 $9.90
23 Qwen3.8 27B 52 68.1 50.9 $0.400 $3.00
24 DeepSeek V4 Flash 0731 (Reasoning, Max Effort) 51.8 69.1 48.4 $0.050 $0.100
25 Gemini 3.6 Flash (high) 51.6 69.2 40.5 $0.830 $4.12
26 Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) 48.4 63 42.1 $3.30 $16.50
27 Gemini 3.1 Pro Preview 47.7 68.8 23 $2.00 $12.00
28 Qwen3.7 Max 46.7 66 30.9 $1.48 $4.42
29 MiniMax-M3 45.4 58.6 36.1 $0.280 $1.10
30 DeepSeek V4 Pro (Reasoning, Max Effort) 45.3 59.4 37.8 $0.410 $0.810

Reasoning, agents & search — re-run on live models

GPQA Diamond

Graduate-level science reasoning

# Model Score $ / task
1 Gemini 3.1 Pro Preview 94.3% $0.204
2 GPT-5.6 Sol Pro 93.8% $0.445
3 GPT-5.5 93.3% $0.303
4 Gemini 3.5 Flash 93.1% $0.137
5 Gemini 3.6 Flash 92.4% $0.090
6 Gemini 3.7 Flash 92.3% $0.015
7 GPT-5.6 Sol 91.4% $0.104
8 Kimi K3 91.3% $0.134
9 GPT-5.6 Luna Pro 90.7% $0.047
10 MiniMax M3 90.5% $0.028
11 GPT-5.4 90.4% $0.153
12 Nova Micro 1.0 89.7% $0.206
13 GPT-5.6 Terra 89.6% $0.021
14 Claude Opus 4.7 88.7% $0.225
15 Claude Opus 4.8 88.6% $0.189

No single model wins every benchmark.

The leader changes by task: one model tops reasoning, another tops coding, a third wins agentic search. That is exactly why MultipleChat exists — put the leaders side by side, let them draft, challenge and verify each other, and keep the best answer.

Quality, cost and speed together

A benchmark score without a price tag is marketing. Every leaderboard here pairs quality with cost per task or per million tokens.

Live & open

Refreshed continuously and downloadable as JSON. Our own quarterly comparison study lives at the MultipleChat AI Benchmark.

Attribution

Source: OpenRouter (openrouter.ai/rankings) incl. Artificial Analysis indexes, as of 2026-08-23T20:53:36Z. Licensed under CC BY 4.0.