Claude 3.7 Sonnet
Anthropic
At a glance
- Price per 1M tokens (input)
- $3.00
- Price per 1M tokens (output)
- $15.00
- Context
- 200,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
Claude 3.7 Sonnet is aimed at developers and product teams that need reliable language understanding combined with visual analysis and programmable actions. It excels at tasks such as interpreting images, generating structured outputs through function calls, and walking through complex reasoning steps. The model’s architecture blends large‑scale language training with explicit tool integration, allowing it to invoke external functions when a prompt calls for precise data or actions. This approach reduces the need for brittle prompt engineering while keeping responses grounded in up‑to‑date information. It offers a balanced trade‑off between depth of reasoning and speed of execution.
Specifications & pricing
| Input (per 1M tokens) | $3.00 |
|---|---|
| Output (per 1M tokens) | $15.00 |
| Cache read (per 1M tokens) | $0.30 |
| Cache write (per 1M tokens) | $3.75 |
| Context window | 200,000 tokens |
| Max output | 64,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Anthropic pricing.
What Claude 3.7 Sonnet would cost on your workload — run it through the cost calculator →
Where to try Claude 3.7 Sonnet for free
- Anthropic offers a free chat — Claude (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
- 🎁 On our promo-codes page: Claude Code Guest Pass — a community invite.
Frequently asked questions
What kinds of problems is Claude 3.7 Sonnet best suited for?+
It handles any workflow that mixes text, images, and the need to call external services, such as document review with visual verification, automated report generation, and interactive chatbots that can fetch live data.
How do I start using the model in my existing application?+
Begin by accessing the provider’s API, send a prompt that includes an optional image payload and a description of the desired function, and handle the returned tool call payload to execute the indicated action.
How does Sonnet differ from other Claude models in the same family?+
Sonnet adds native image comprehension and a more robust tool‑calling interface while keeping the core language capabilities of its siblings, making it a middle ground between the lightweight and the most extensive variants.
What limitations should I be aware of?+
The model may not interpret highly abstract visual content, it relies on the correctness of the functions you expose, and it does not retain memory across separate sessions without explicit state handling.
Comparisons
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