Quick answer: Claude Sonnet 3.7 (API: claude-sonnet-3-7-20250219) is Anthropic's first model with extended thinking mode, released February 2025. It scores 14.5% on CyberGym, 35.8% on BigCodeBench, and 26.2% on SHADE-Arena — a high SHADE-Arena score indicating robust capability for agentic tasks. Priced at $3 input / $15 output per 1M tokens with a 200K-token context window.
Where Claude Sonnet 3.7 leads
Where it lags
Best for: Agentic pipelines requiring reliable extended reasoning; security analysis; coding review workflows; teams already integrated with the Anthropic API.
Claude Sonnet 3.7 is the model that introduced extended thinking to the Claude API. Released February 19, 2025, it allows developers to enable visible chain-of-thought reasoning on a per-request basis, with a configurable token budget that balances reasoning depth against latency and cost.
The model's 26.2% SHADE-Arena score is notable: SHADE-Arena measures a model's ability to detect and avoid subtle sabotage scenarios in multi-agent environments, and higher scores indicate stronger agentic situational awareness. This positions Claude Sonnet 3.7 as a particularly capable model for agentic workflows requiring safety and robustness.
Claude Sonnet 3.7's extended thinking capability was its defining feature at launch and drove strong early adoption among teams building coding agents and multi-step reasoning pipelines. The model has since been succeeded by Claude Sonnet 4, which improves on Sonnet 3.7's capabilities.
| Field | Value |
|---|---|
| Organization | Anthropic |
| Parameters | Undisclosed |
| Context window | 200,000 tokens |
| Max output | 64,000 tokens (thinking) / 16,000 tokens (standard) |
| API model ID | claude-sonnet-3-7-20250219 |
| License | Proprietary (API only) |
| Release date | February 19, 2025 |
| Knowledge cutoff | January 2025 |
| Modality | Text + Vision (multimodal) |
| Input (per 1M tokens) | Output (per 1M tokens) | |
|---|---|---|
| Anthropic API | $3.00 | $15.00 |
Extended thinking tokens are billed as output tokens. Prompt caching provides a 90% discount on cache reads. Pricing per Anthropic pricing page.
Claude Sonnet 3.7 has a 200,000-token context window — roughly 150 pages of text in a single request. Extended thinking mode enables up to 64,000 output tokens, allowing for extensive reasoning chains before the final response.
| Benchmark | Score | Source | Date |
|---|---|---|---|
| BigCodeBench | 35.8% | Benchgen evaluation | 2025-07 |
| CyberGym | 14.5% | Benchgen evaluation | 2025-07 |
| SHADE-Arena | 26.2 overall success | Anthropic research post | 2025-06 |
Scores from Benchgen evaluations or attributed third-party sources. Well-known launch scores (from Anthropic technical report, February 2025): SWE-bench Verified ~62.3% with extended thinking, GPQA Diamond ~84.8% with extended thinking.
| Model | Context | CyberGym | SHADE-Arena | Price (in/out per 1M) |
|---|---|---|---|---|
| Claude Sonnet 3.7 | 200K | 14.5% | 26.2 | $3 / $15 |
| Claude 3.7 Sonnet | 200K | — | — | $3 / $15 |
| o4-mini | 200K | 2.5% | 6.5 | $1.10 / $4.40 |
| Gemini 2.5 Flash | 1M | 4.8% | 1.4 | $0.15 / $0.60 |
Claude Sonnet 3.7 leads on CyberGym and SHADE-Arena among cost-comparable models, making it the strongest option for agentic safety and security tasks in this price range.
Claude Sonnet 3.7's 26.2% SHADE-Arena score — the highest among o4-mini, Gemini 2.5 Flash, and comparable peers — indicates strong capability for detecting and avoiding subtle sabotage in multi-agent environments. For agent builders designing pipelines with multiple AI model interactions, this is a meaningful safety signal.
The 14.5% CyberGym score (vs o4-mini's 2.5%) suggests Claude Sonnet 3.7 has meaningfully stronger security analysis capability than OpenAI's cost-tier models. For teams building security-adjacent agentic workflows, this may justify the $3/$15 per 1M price over cheaper alternatives.
import anthropic
client = anthropic.Anthropic(api_key="YOUR_API_KEY")
response = client.messages.create(
model="claude-sonnet-3-7-20250219",
max_tokens=16000,
thinking={"type": "enabled", "budget_tokens": 10000},
messages=[{"role": "user", "content": "Analyse this security vulnerability and suggest a fix..."}],
)
print(response.content)Specs and scores sourced from Anthropic's official Claude Sonnet 3.7 announcement (February 2025) and Benchgen evaluations; third-party benchmark scores attributed inline. Pricing cited to the Anthropic pricing page. Last updated 2026-07-23.
This model isn’t on any benchmark leaderboard yet.