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...
Best agent model APIs for tool-calling workflows
Compare model APIs for agent workflows that need tool calling, JSON mode, long context, and budget policies.
Wofur ist diese Shortlist gedacht?
Agent workflows are output-heavy and can become expensive quickly. Teams should compare tool calling, JSON support, context length, latency, and output price before routing agent tasks to a model.
Quellenbasis: NextModel capability mapping and supported-parameter metadata when available.
Fit score
Empfohlene Kandidaten agent models
Starten Sie mit der Shortlist, testen Sie echte Prompts und vergleichen Sie die monatlichen Kosten vor dem Produktionsrouting.
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...
Vergleichstabelle
Vergleichen Sie die Shortlist nach Preis, Anbieter, Kontext, Fahigkeiten und Quelle.
Nutzen Sie diese Ansicht, wenn Sie eine Produktions-Shortlist eingrenzen, eine Fallback-Strategie bauen oder die Modellokonomie vergleichen.
| 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
Agent models FAQ
Which capabilities matter most for agent models?
Tool calling, structured JSON output, long context, and reliable instruction following matter most.