Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
Melhores APIs de modelos para agentes com workflows de tool calling
Compare APIs de modelos para workflows de agentes que precisam de tool calling, modo JSON, contexto longo e politicas de orcamento.
Para que serve esta shortlist?
Workflows de agentes geram muita saida e podem ficar caros rapidamente. Antes de rotear tarefas de agente para um modelo, as equipes devem comparar tool calling, suporte a JSON, tamanho de contexto, latencia e preco de saida.
Base da fonte: Mapeamento de capacidades da NextModel e metadados de parametros suportados quando disponiveis.
Fit score
Candidatos recomendados modelos para agentes
Comece pela shortlist, teste prompts reais e compare o custo mensal antes do roteamento em producao.
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and...
Tabela comparativa
Compare a shortlist por preco, provedor, contexto, capacidade e fonte.
Use esta visao para reduzir uma shortlist de producao, montar uma politica de fallback ou comparar a economia dos modelos.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7 | Anthropic | $5 / 1M tokens | $25 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | frontier reasoning, large codebase review | 2300-6800ms | Catalog | OpenRouter if available |
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | Anthropic | $3 / 1M tokens | $15 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | coding agents, code review | 1600-4800ms | Catalog | OpenRouter if available |
| Google: Gemini 2.5 Progoogle/gemini-2.5-pro | $1.25 / 1M tokens | $10 / 1M tokens | 1M | Tool callingVisionJSON modeLong context | long-context analysis, vision workflows | 1500-5000ms | Catalog | OpenRouter if available | |
| Qwen: Qwen3 Coder Plusqwen/qwen3-coder-plus | Alibaba Cloud / Qwen | $0.65 / 1M tokens | $3.25 / 1M tokens | 1M | Tool callingJSON modeLong contextStreaming | Chinese engineering workflows, code generation | 1200-3900ms | Catalog | OpenRouter if available |
| Qwen: Qwen3 Maxqwen/qwen3-max | Alibaba Cloud / Qwen | $0.78 / 1M tokens | $3.90 / 1M tokens | 262.1k | Tool callingJSON modeLong contextReasoning | Chinese agent workflows, business analysis | 1300-4200ms | Catalog | OpenRouter if available |
| OpenAI: GPT-4o-miniopenai/gpt-4o-mini | OpenRouter | $0.15 / 1M tokens | $0.6 / 1M tokens | 128k | Tool callingVisionJSON modeLong context | low-cost chat, image understanding | 800-2400ms | Catalog | OpenRouter if available |
FAQ
Modelos para agentes FAQ
Quais capacidades importam mais para modelos de agentes?
Tool calling, JSON estruturado, contexto longo e seguimento confiavel de instrucoes sao os pontos mais importantes.