Ideal para: AI Agents
Ranked on multi-step reasoning, tool-use reliability, and long-horizon stability. Agentic workloads amplify small accuracy gaps.
Atualizado May 2026. Top 3 deste mês: R1 0528, Qwen3.5 Plus 2026-02-15, DeepSeek V3.
Podium
Como classificamos
Agents chain dozens of tool calls per run. Even a 95%-reliable tool-use model compounds down to near-zero after 20 steps, so the gap between the top model and the runner-up matters a lot. We weight SWE-Bench Verified heavily because it is the best proxy for long-horizon agentic success, then reasoning benchmarks, then price.
Our full methodology is published on the página de metodologia.
Pilares e pesos:
Full ranking
| Posição | Modelo | Fornecedor | Entrada $/1M | Saída $/1M | Contexto |
|---|---|---|---|---|---|
| 1 | R1 0528 | DeepSeek | $0.50 | $2.15 | 163,840 |
| 2 | Qwen3.5 Plus 2026-02-15 | Qwen | $0.26 | $1.56 | 1,000,000 |
| 3 | DeepSeek V3 | DeepSeek | $0.32 | $0.89 | 163,840 |
| 4 | Qwen3.5 397B A17B | Qwen | $0.39 | $2.34 | 262,144 |
| 5 | Hunyuan A13B Instruct | Tencent | $0.14 | $0.57 | 131,072 |
| 6 | MiniMax M2.1 | MiniMax | $0.29 | $0.95 | 196,608 |
| 7 | Trinity Large Preview | Arcee AI | $0.00 | $0.00 | 131,000 |
| 8 | GPT-4o (2024-11-20) | OpenAI | $2.50 | $10.00 | 128,000 |
| 9 | MiniMax-01 | MiniMax | $0.20 | $1.10 | 1,000,192 |
| 10 | Claude Sonnet 4.5 | Anthropic | $3.00 | $15.00 | 1,000,000 |
Field notes
Plan for retries. Instrument every tool call with structured logging and a budget ceiling.
Prefer models with native structured-output mode to avoid JSON-fixup loops.
Cache system prompts aggressively — agentic flows repeat the same preamble many times.
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