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Best AI model for agents

For AI agents, Claude Opus 5 scores highest on the current data (64.6), weighting agentic & tool use 60%, instruction following 20%, reasoning 20%. The cheapest model in the top 10 is Gemini 3.8 Flash at $0.75 / $3.75 per million tokens.

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Weights: Agentic & Tool Use 60%, Instruction Following 20%, Reasoning 20%. Agents must plan, call tools and recover from errors over many steps.

Best AI model for agents
#ModelProviderFitAgentic & Tool UseInstruction FollowingReasoningInput $/MOutput $/M
1Claude Opus 5Anthropic64.655.679.277.2$5$25
2GPT-6 AstraOpenAI64.052.976.385.1$10$50
3Claude Fable 5Anthropic63.554.078.676.8$10$50
4Claude Fable 5.1Anthropic61.650.779.276.7$10$50
5GPT-5.6 SolOpenAI60.750.377.774.8$4$20
6GPT-5.5OpenAI60.550.777.572.8$5$30
7Claude Opus 5.5Anthropic59.245.380.080.2$4$20
8Claude Opus 4.6Anthropic58.151.179.557.8$5$25
9Claude Opus 4.8Anthropic57.047.677.464.7$5$25
10Gemini 3.8 FlashGoogle56.141.878.076.9$0.75$3.75
11GPT-5.4OpenAI55.746.577.161.8$2.50$15
12GPT-6.1 SolOpenAI55.539.677.081.9$2$10
13Claude Opus 4.7Anthropic55.247.978.453.8$5$25
14Gemini 3.7 FlashGoogle54.842.177.770.0$0.75$3.75
15Gemini 4 ArgonGoogle54.449.280.144.2——
16Qwen3.8 MaxAlibaba (Qwen)53.645.477.654.4$2$6
17Claude Sonnet 5.5Anthropic53.545.078.354.0$2$10
18Kimi K3 (open weights)Moonshot AI53.341.877.763.0$3$15
19Grok 4.5xAI53.044.476.056.1$2$6
20Claude Opus 4.5Anthropic52.447.377.542.6$5$25
21Gemini 3.1 Pro PreviewGoogle52.437.777.071.7$2$12
22GPT-6 SolOpenAI52.037.274.574.0$2$10
23GPT-5.6 TerraOpenAI51.540.176.460.7$2$12
24Grok 4.6xAI51.039.475.461.4$2$6
25Claude Sonnet 5Anthropic50.742.876.349.1$2$10

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Top two head to head: Claude Opus 5 vs GPT-6 Astra

Frequently asked questions

What is the best ai model for agents?

For AI agents, Claude Opus 5 scores highest on the current data (64.6), weighting agentic & tool use 60%, instruction following 20%, reasoning 20%. The cheapest model in the top 10 is Gemini 3.8 Flash at $0.75 / $3.75 per million tokens.

How is this shortlist built?

Agents must plan, call tools and recover from errors over many steps. Each model's category scores are blended with those weights; only ranked models with results in every needed category are listed.

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