Model comparison
Claude Sonnet 5 vs GPT-5.1
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 49.0 on the Noometry Index.
Last verified . 37 shared benchmarks.
Summary
- They share 37 benchmarks with published results for both. Claude Sonnet 5 scores higher in 6 categories and GPT-5.1 in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5 leads 66.2 to 52.2.
- The biggest single-benchmark swing is GSO: 37.3% for Claude Sonnet 5 and 13.7% for GPT-5.1.
- GPT-5.1 is cheaper at $1.25 / $10 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.
- Claude Sonnet 5 accepts more context: 1M tokens versus 400K.
Side by side
| Claude Sonnet 5 | GPT-5.1 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 54.6 | 49.0 |
| Released | 2026-06-29 | 2025-11-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $2 | $1.25 |
| Output $ / M tokens | $10 | $10 |
| Results tracked | 51 | 63 |
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Category by category
Coding Claude Sonnet 5 leads
Claude Sonnet 5: 55.5 (#26), GPT-5.1: 46.4 (#66)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| LMArena WebDev | 1541 | 1395 |
| SciCode | 54.3% | 43.3% |
| GSO | 37.3% | 13.7% |
| WeirdML | 68.8% | 60.8% |
| LMArena Coding | 1483 | 1454 |
| ALE-Bench | 1,463 | 1,192 |
| SWE-bench Verified | — | 68% |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| SWE-bench Verified (bash only) | — | 66% |
| CursorBench | 34.1% | — |
| LiveBench Coding | — | 72.5% |
Agentic & Tool Use Claude Sonnet 5 leads
Claude Sonnet 5: 42.8 (#18), GPT-5.1: 32.7 (#60)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| LMArena Search | 1194 | 1199 |
| Vending-Bench 2 | 6,378 | 1,473 |
| Terminal-Bench | — | 47.6% |
| APEX-Agents | 54.5% | — |
| DeepResearch Bench | — | 42.8% |
| GBAEval | 65.3% | — |
Reasoning Claude Sonnet 5 leads
Claude Sonnet 5: 49.1 (#39), GPT-5.1: 39.8 (#58)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| SimpleBench | 60.6% | 53.2% |
| CritPt | 16.9% | 4.9% |
| Chess Puzzles | 35% | 32% |
| LMArena Hard Prompts | 1461 | 1457 |
| Mystery Game Puzzles | 35% | 19% |
| DTBench | 92.5% | 90.1% |
| LMCA | 50% | 43.9% |
| Epoch Capabilities Index | 156.21 | 149.64 |
| ForecastBench | 61.1 | 58.1 |
| ARC-AGI-2 | — | 17.6% |
| NYT Connections (extended) | 75.1% | — |
| ARC-AGI-1 | — | 72.8% |
| EnigmaEval | — | 11.2% |
| LiveBench Reasoning | — | 95.8% |
| LiveBench Data Analysis | — | 72.1% |
| Surface Evolver Bench | 60% | — |
| Bench to the Future 3 | 0.14 | — |
| LiveBench | — | 78.8% |
Math Claude Sonnet 5 leads
Claude Sonnet 5: 66.2 (#27), GPT-5.1: 52.2 (#51)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.7% | 88.6% |
| LMArena Math | 1467 | 1447 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| ProofBench | 77% | — |
| Omni-MATH | — | 46.4% |
| LiveBench Math | — | 94.5% |
| FrontierMath (Feb 2025 set) | — | 31% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge Claude Sonnet 5 leads
Claude Sonnet 5: 55.6 (#47), GPT-5.1: 50.6 (#71)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| GPQA Diamond | 90.5% | 87.6% |
| SimpleQA Verified | 33.7% | 48% |
| LMArena Expert | 1490 | 1470 |
| Humanity's Last Exam | — | 23.7% |
| MMLU-Pro | — | 57.9% |
| Vectara Hallucination Rate | — | 10.9% |
| GPQA (HELM) | — | 44.2% |
Multimodal GPT-5.1 leads
Claude Sonnet 5: 42.4 (#31), GPT-5.1: 44.8 (#19)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| LMArena Vision | 1274 | 1250 |
| LMArena Document | 1466 | 1403 |
| VPCT | — | 58.7% |
| Blueprint-Bench 2 | 24.9% | — |
Multilingual Too close to call
Claude Sonnet 5: 53.8 (#55), GPT-5.1: 53.8 (#56)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| LMArena Non-English | 1431 | 1431 |
| LMArena Chinese | 1477 | 1495 |
| LMArena French | 1460 | 1450 |
| LMArena German | 1440 | 1438 |
| LMArena Japanese | 1422 | 1453 |
| LMArena Korean | 1411 | 1401 |
| LMArena Russian | 1451 | 1435 |
| LMArena Spanish | 1437 | 1433 |
Instruction Following GPT-5.1 leads
Claude Sonnet 5: 76.3 (#41), GPT-5.1: 83.9 (#1)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| LMArena Instruction Following | 1452 | 1443 |
| LiveBench Instruction Following | — | 93.3% |
| IFEval | — | 93.5% |
Long Context GPT-5.1 leads
Claude Sonnet 5: 44.8 (#55), GPT-5.1: 47.6 (#14)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| LMArena Longer Query | 1463 | 1447 |
| CL-bench | — | 23.7% |
| CL-bench Life | — | 17.3% |
Writing & Preference Claude Sonnet 5 leads
Claude Sonnet 5: 69.2 (#25), GPT-5.1: 64.5 (#55)
| Benchmark | Claude Sonnet 5 | GPT-5.1 |
|---|---|---|
| LMArena Text | 1442 | 1443 |
| LMArena Creative Writing | 1416 | 1427 |
| LMArena Multi-Turn | 1454 | 1450 |
| EQ-Bench Creative Writing | 1794 | — |
| WildBench | — | 86.3% |
| EQ-Bench 4 | 1236 | — |
| LiveBench Language | — | 80.2% |
Frequently asked questions
Is Claude Sonnet 5 better than GPT-5.1?
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 49.0 on the Noometry Index.
Which is cheaper, Claude Sonnet 5 or GPT-5.1?
GPT-5.1 is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; Claude Sonnet 5 lists at $2 and $10.
Is Claude Sonnet 5 or GPT-5.1 better for coding?
Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 46.4 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5 does, with 1M tokens against 400K.
How many benchmarks do Claude Sonnet 5 and GPT-5.1 share?
37 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and GPT-5.1 has 63.