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Frontier models, benchmarked continuously.

Quality, cost and speed for the leading AI models — refreshed on a live cycle · last updated 2026-09-19.

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 Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) 53.4 81.6 58 $5.00 $25.00
2 Qwen3.8 Max 53.4 68.9 49.9
3 GPT-6 Astra (max) 52.8 76.9 51.5 $11.00 $55.00
4 Claude Opus 5 (Adaptive Reasoning, Max Effort) 50.7 78 56.2 $5.50 $27.50
5 Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) 49.7 76.5 51 $10.00 $50.00
6 GPT-5.6 Sol (max) 47.1 77.4 50.5 $4.00 $20.00
7 Qwen3.8 Max (0902) 45.4 76.2 56.1 $2.00 $6.00
8 GLM-5.3 (max) 44.9 74.8 53.4 $0.890 $2.80
9 Grok 4.6 (high) 44.4 76.8 53.4 $4.00 $12.00
10 Kimi K3 (max) 43.8 76.2 50.6 $2.10 $10.95
11 GPT-5.6 Terra (max) 42.3 76.7 43.7 $4.00 $24.00
12 Claude Opus 4.8 (Adaptive Reasoning, Max Effort) 42 74.3 42.6 $10.00 $50.00
13 GLM-5.3-Flash 41.9 71.5 51.2 $0.150 $0.500
14 Gemini 3.8 Flash (high) 41.2 76.3 41.1 $1.35 $6.75
15 Qwen3.8 2.4T A95B 40 71.9 50.4 $2.00 $6.00
16 Muse Spark 1.2 (xhigh) 39.8 72.2 44 $1.25 $4.25
17 DeepSeek V4.1 Flash (Reasoning, Max Effort) 39.5 $0.200 $0.600
18 Gemini 3.7 Flash (high) 39.4 76.1 36.4 $1.35 $6.75
19 Grok 4.5 (high) 39.1 72.4 42.1 $4.00 $12.00
20 GPT-5.5 (xhigh) 38.6 74.9 37.3 $2.50 $15.00
21 Claude Sonnet 5 (Adaptive Reasoning, Max Effort) 38.4 71.5 44.3 $2.20 $11.00
22 GPT-5.6 Luna (max) 37.5 71.4 42.7 $0.400 $2.40
23 DeepSeek V4 Pro 0813 (Reasoning, Max Effort) 36.3 68.8 42.3 $1.32 $3.96
24 DeepSeek V4 Flash 0731 (Reasoning, Max Effort) 34.5 69.1 41.7 $0 $0
25 Muse Spark 1.1 (xhigh) 34.3 71.3 27.5 $1.25 $4.25
26 Gemini 3.6 Flash (high) 34.3 69.2 30.2 $1.35 $6.75
27 GLM-5.2 (max) 34 68.8 39.4 $2.25 $8.00
28 Qwen3.8 27B (xhigh) 33.9 68.1 46.5 $0 $0
29 Gemini 3.5 Flash (high) 33 70.1 27.3 $2.70 $16.20
30 DeepSeek V4 Pro (Reasoning, Max Effort) 30.9 59.4 27.7 $1.15 $2.55

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

GPQA Diamond

Graduate-level science reasoning

# Model Score $ / task
1 Fugu Ultra 94.6% $1.15
2 Gemini 3.1 Pro Preview 94.4% $0.202
3 GPT-6 Astra 94.4% $0.099
4 Gemini 3.7 Flash 94.3% $0.031
5 GPT-5.5 93.8% $0.308
6 GPT-5.6 Sol Pro 93.8% $0.445
7 Fugu Ultra V2 93.3% $0.503
8 Grok 4.6 93.3% $0.122
9 Gemini 3.6 Flash 92.8% $0.067
10 Gemini 3.5 Flash 92.8% $0.142
11 GPT-5.6 Sol 91.9% $0.071
12 Kimi K3 91.9% $0.139
13 Union Alpha 90.9%
14 Auto Router 90.7% $0.0079
15 MiniMax M3 90.6% $0.030

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 2026-09-19T14:13:10Z. Licensed under CC BY 4.0.