The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.
The post is dated "Feb 24, 2025": "Today, we're announcing Claude 3.7 Sonnet" and it "is now available on all Claude plans"; TechCrunch[4] says it "is rolling out to all users and developers on Monday" (24 February).
Anthropic's[1] system card for "a hybrid reasoning model": it explains why users see the model's thinking, and states "Claude 3.7 Sonnet is released under the ASL-2 standard".
The Sonnet table dates Claude 3.7 Sonnet to 24 February 2025; the article adds that in February 2025 Claude 3.7 Sonnet playing Pokémon Red began streaming on Twitch to thousands of viewers.[1]
TechCrunch, 2025-02-24: the model "is rolling out to all users and developers on Monday"; free users get the standard mode, only paid plans the reasoning; $3/$15 per million tokens against o3-mini's $1.10/$4.40 and DeepSeek R1's $0.55/$2.19; "(Yes, the company skipped a number.)"
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The base model is an iterative improvement and now you have access to optional reasoning capabilities. Claude 3.7 is especially good for coding.
Claude 3.7 Sonnet emerged as the clear winner, outperforming ChatGPT-4o.
As you may expect, 3.7 Sonnet is an improvement over 3.5 Sonnet - and is priced the same, at $3/million tokens for input and $15/m output.
Claude 3.7 Sonnet builds on an upgraded version of Claude 3.5 Sonnet but adds a significant new feature: an "Extended Thinking" mode that allows the model to reason through its responses.
| Claude 3.7 Sonnet and Claude Code · Feb 24, 2025 | 0.50 |
|---|---|
| Anthropic launches Claude 3.7 Sonnet hybrid AI model and Claude Code programming tool · Feb 24, 2025 | 0.50 |
| Time to Welcome Claude 3.7 · Feb 26, 2025 | 0.70 |
| I put ChatGPT-4o vs Claude 3.7 Sonnet through a 7-round face-off — one left the other in the dust · Apr 29, 2025 | 0.50 |
| Benchmark | Claude 3.7 Sonnet (64K extended thinking) | Claude 3.7 Sonnet (no extended thinking) | Claude 3.5 Sonnet (new) | OpenAI o1¹ | OpenAI o3-mini¹ (high) | DeepSeek R1 (32K extended thinking) | Grok 3 Beta (extended thinking) |
|---|---|---|---|---|---|---|---|
| Graduate-level reasoning (GPQA Diamond)³ | 78.2% / 84.8% | 68.0% | 65.0% | 75.7% / 78.0% | 79.7% | 71.5% | 80.2% / 84.6% |
| Agentic coding (SWE-bench Verified)² | — | 62.3% / 70.3% | 49.0% | 48.9% | 49.3% | 49.2% | — |
| Agentic tool use (TAU-bench), retail | — | 81.2% | 71.5% | 73.5% | — | — | — |
| Agentic tool use (TAU-bench), airline | — | 58.4% | 48.8% | 54.2% | — | — | — |
| Multilingual Q&A (MMMLU) | 86.1% | 83.2% | 82.1% | 87.7% | 79.5% | — | — |
| Visual reasoning (MMMU validation) | 75% | 71.8% | 70.4% | 78.2% | — | — | 76.0% / 78.0% |
| Instruction-following (IFEval) | 93.2% | 90.8% | 90.2% | — | — | 83.3% | — |
| Math problem-solving (MATH 500) | 96.2% | 82.2% | 78.0% | 96.4% | 97.9% | 97.3% | — |
| High school math competition (AIME 2024)³ | 61.3% / 80.0% | 23.3% | 16.0% | 79.2% / 83.3% | 87.3% | 79.8% | 83.9% / 93.3% |
Pass@1 averaged over several trials (up to 16 for AIME and SWE-bench Verified); a second figure benefits from parallel test-time compute. ¹ o1 TAU-bench results were reported by OpenAI and later deleted; TAU-bench results may not be comparable. ² 62.3% is pass@1 on 500 problems with bash/editor tools plus a "thinking tool"; 70.3% uses internal scoring and a custom scaffold on a reduced subset; DeepSeek R1 uses the Agentless framework. ³ Claude 3.7 Sonnet's high GPQA and AIME 2024 scores use internal scoring with parallel test-time compute; o1's and Grok 3's use majority voting with 64 samples.
Epoch AI model database (Claude 3.7 Sonnet); Epoch's confidence in the figures: Likely. Blank tiles are not published.