Anthropic • LLM
Anthropic: Claude 3.7 Sonnet (thinking) by Anthropic
Context Window
200K tokens
Input Price/1M
—
Output Price/1M
—
Parameters
—
Max Output
64K tokens
Claude 3.7 Sonnet (thinking) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 21.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 47.0 | 100.0 | — |
| SciCode | 40.0 | 100.0 | — |
| AA Coding Index | 27.6 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 84.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 61.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 56.3 | 100.0 | — |
| AIME 2025 | 56.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 34.7 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 77.0 | 100.0 | — |
| IFBench | 48.0 | 100.0 | — |
| HLE | 10.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 55.0 | 100.0 | — |
Claude 3.7 Sonnet (thinking) is an AI model developed by Anthropic, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Anthropic's cloud API. With a context window of 200K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Claude 3.7 Sonnet (thinking) does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Anthropic's official website for up-to-date availability and pricing.
Claude 3.7 Sonnet (thinking) was evaluated on 13 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Claude 3.7 Sonnet (thinking) is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), multimodal processing combining text and images, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Claude 3.7 Sonnet (thinking) competes directly with similarly capable models. Key competitors include GPT (OpenAI), Gemini (Google), and open source models like Llama (Meta) and DeepSeek. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Claude 3.7 Sonnet (thinking) is an AI model developed by Anthropic. It is a language model (LLM), with multimodal support (text, image and more).
Claude 3.7 Sonnet (thinking) does not have public per-token pricing available at this time. Check Anthropic's official website for up-to-date information.
In available benchmarks, Claude 3.7 Sonnet (thinking) scored: Terminal-Bench Hard: 21/100, LiveCodeBench: 47/100, SciCode: 40/100. See the full table above for a detailed comparison.
No, Claude 3.7 Sonnet (thinking) is a proprietary model from Anthropic. It is available via cloud API. For open source alternatives, check our open source model ranking.
Claude 3.7 Sonnet (thinking) excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: June 01, 2026 • View methodology →