Claude 3.7 Sonnet
Best configuration ranks #255 of 610 on the BenchLeader Index at 52.1 ±3.0 (thinking reasoning effort). Last measured 2 Sept 2026. Released 24 Feb 2025.
- Blended price
- $6.00/M
- $3.00 in · $15.00 out
- Output speed
- –
- First answer
- –
- Context
- 200k
- Overall index52
- Reasoning58
- Coding47
- Agents & tools52
- Maths49
- Knowledge55
- Instruction following46
- Human preference57
- Multimodal55
- Composite51
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| no reasoning | – | – | – | – | $0.0057 | Coding 59 |
| thinkingbest | 52.1 | #255 | – | – | $0.0057 | Agents & tools 52 · Coding 47 · Composite 51 · Human preference 57 · Instruction following 46 · Knowledge 55 · Maths 49 · Multimodal 55 · Reasoning 58 |
| default | 49.8 | #300 | – | – | $0.0057 | Agents & tools 48 · Coding 47 · Composite 48 · Human preference 55 · Instruction following 46 · Knowledge 54 · Long context 50 · Maths 51 · Multimodal 50 · Reasoning 49 |
Benchmark results
One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| GPQA Diamond | – | – | 79.7%#115 | Epoch AI Benchmarking Hub |
| Humanity's Last Exam | – | – | 8.0%#31 | Scale AI / CAIS |
| SimpleBench | – | – | 46.4%#51 | SimpleBench |
| LMArena Hard Prompts | – | 1417#135 | 1398#154 | LMArena |
| GPQA Diamond (AA)not in index | – | 77.2%#215 | 65.6%#326 | Artificial Analysis |
| Humanity's Last Exam (AA)not in index | – | 9.7%#264 | 4.2%#452 | Artificial Analysis |
| GPQA Diamond (Vals)not in index | – | 75.3%#78 | 67.4%#97 | Vals AI |
Coding
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| SWE-bench Verified (Epoch) | – | – | 61.0%#29 | Epoch AI Benchmarking Hub |
| GSO-Bench | – | – | 3.8%#26 | GSO-Bench |
| LMArena Coding | – | 1452#125 | 1431#151 | LMArena |
| LiveCodeBench | – | 60.4%#102 | 56.7%#107 | Vals AI |
| Aider Polyglot | 60.4%#14 | – | 64.9%#10 | Aider polyglot leaderboard |
| SWE-bench Verified (bash only) | – | – | 52.8%#32 | SWE-bench |
| SWE-bench Verified (any scaffold)not in index | – | – | 70.4%#16 | SWE-bench |
Agents & tools
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| Cybench | – | – | 20.0%#11 | Cybench |
| Terminal-Bench Hard | – | 21.2%#152 | 21.2%#152 | Artificial Analysis |
| τ²-Bench Telecom (AA)not in index | – | 54.7%#180 | 50.0%#191 | Artificial Analysis |
Maths
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| OTIS Mock AIME | – | – | 57.8%#150 | Epoch AI Benchmarking Hub |
| MATH Level 5 | – | – | 91.2%#18 | Epoch AI Benchmarking Hub |
| AIME (Vals) | – | 44.6%#62 | 22.3%#77 | Vals AI |
| MGSM | – | 93.0%#12 | 92.4%#19 | Vals AI |
Knowledge
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| AA-Omniscience | – | -0.7#99 | -9.7#136 | Artificial Analysis |
| MMLU-Pro | – | 82.7%#74 | 80.7%#82 | Vals AI |
| LegalBench | – | 82.5%#61 | 80.0%#83 | Vals AI |
| CorpFin | – | 60.4%#68 | – | Vals AI |
| TaxEval | – | 74.0%#41 | 72.4%#62 | Vals AI |
| MedQA | – | 90.2%#46 | – | Vals AI |
| MultiNRC | – | 27.8%#26 | – | Scale AI SEAL |
Instruction following
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| IFBench | – | 48.3%#181 | 44.0%#214 | Artificial Analysis |
| MultiChallenge | – | 51.6%#21 | – | Scale AI SEAL |
Human preference
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| LMArena Text | – | 1388#144 | 1372#160 | LMArena |
Multimodal
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| LMArena Vision | – | 1169#89 | 1151#98 | LMArena |
| MMMU-Pro | – | – | 60.1%#178 | Artificial Analysis |
| VISTA | – | 48.2%#16 | 43.0%#35 | Scale AI SEAL |
| MMMU (validation) | – | – | 75.0%#14 | MMMU |
Long context
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| Fiction.LiveBench 120k | – | – | 53.1%#20 | Fiction.live |
| AA-LCR | – | – | 51.7%#252 | Artificial Analysis |
Composite
| Benchmark | no reasoning | thinking | default | Source |
|---|---|---|---|---|
| Epoch Capabilities Indexnot in index | – | – | 141.2#94 | Epoch AI Benchmarking Hub |
| AA Intelligence Index | – | 17.7#197 | 15.3#219 | Artificial Analysis |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0057 | – | – |
| Summarise a 30-page report | 12,000 / 600 | $0.045 | – | – |
| Code edit | 6,000 / 1,500 | $0.041 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.240 | – | – |
| Structured extraction | 2,000 / 200 | $0.0090 | – | – |
See also
Data as of 9 Sept 2026. Compare these configurations.