Anthropic: Claude 3.7 Sonnet
Analysis Summary
Anthropic's Claude 3.7 Sonnet is a text, image, and file model with a 200K context window, tool use, and function calling. Its supplied coding measurements are strong, and the available instruction-following and long-context results support its use for structured work. It is an older model with a benchmarked thinking variant in this batch, so it should not be treated as the family's latest option.
The combination of coding capability, multimodal input, and tool support suits software assistance, document analysis, and client-facing drafting where careful instruction following matters. Its reasoning index is below current leading models, and its listed output price is high, limiting its appeal for routine high-volume requests. Human review is still appropriate for consequential outputs.
Use it selectively for work where quality and capability justify the cost. For bulk generation or basic automation, compare lower-priced models before committing.
Assessed September 23, 2026
Editorial notes
Claude 3.7 Sonnet combines strong coding results with vision, a 200K context window, and tool calling; its high listed output price makes it better suited to quality-sensitive work than bulk traffic.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Claude 3.7 Sonnet combines strong coding results with vision, a 200K context window, and tool calling; its high listed output price makes it better suited to quality-sensitive work than bulk traffic.
Benchmarks
Artificial Analysis data refreshed Sep 30, 2026. Arena ratings from the Sep 25, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How Anthropic: Claude 3.7 Sonnet compares
Anthropic: Claude 3.7 Sonnet ranks #137 of 431 AI models we track for overall intelligence, #90 of 198 for coding. Its 200K-token context window is larger than 57% of the models we list. At $3.00 per million input tokens it is cheaper than 9% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $3.00 | $0.003000 |
| Output | $15.00 | $0.015000 |
What would Anthropic: Claude 3.7 Sonnet cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Anthropic: Claude 3.7 Sonnet for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Anthropic: Claude 3.7 Sonnet
Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and..
Frequently asked questions about Anthropic: Claude 3.7 Sonnet
How much does Anthropic: Claude 3.7 Sonnet cost?
Anthropic: Claude 3.7 Sonnet costs $3.00 per million input tokens and $15.00 per million output tokens.
What is the context window of Anthropic: Claude 3.7 Sonnet?
Anthropic: Claude 3.7 Sonnet has a context window of 200,000 tokens (200K).
Is Anthropic: Claude 3.7 Sonnet good for coding?
On our coding benchmark index, Anthropic: Claude 3.7 Sonnet ranks #90 of 198 models, placing it in the broader range of the field for code generation and debugging.
What can Anthropic: Claude 3.7 Sonnet do?
Anthropic: Claude 3.7 Sonnet supports image/vision input, tool use, and function calling.
Who created Anthropic: Claude 3.7 Sonnet?
Anthropic: Claude 3.7 Sonnet is developed by Anthropic and was released on February 24, 2025.