Model comparison
Claude Sonnet 5.5 vs GPT-4.1
Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 35.7 on the Noometry Index.
Last verified . 5 shared benchmarks.
Summary
- They share 5 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 6 categories and GPT-4.1 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 88.7 to 21.4.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 88.8% for Claude Sonnet 5.5 and 6% for GPT-4.1.
- GPT-4.1 is cheaper at $2 / $8 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- GPT-4.1 accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Sonnet 5.5 | GPT-4.1 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 60.5 | 35.7 |
| Released | 2026-09-28 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 33K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $10 | $8 |
| Results tracked | 16 | 52 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 65.5 (#6), GPT-4.1: 34.2 (#228)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| ALE-Bench | 1,819 | 558.1 |
| SWE-bench Verified | — | 48.5% |
| FrontierCode | 52.1% | — |
| SWE-bench Verified (bash only) | — | 39.6% |
| Aider Polyglot | — | 52.4% |
| CursorBench | 55.5% | — |
| LMArena WebDev | 1699 | — |
| FrontierSWE | 61.9% | — |
| SciCode | 61% | — |
| WeirdML | — | 39% |
| LMArena Coding | — | 1391 |
| CadEval | — | 42% |
Agentic & Tool Use Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 44.9 (#14), GPT-4.1: 34.4 (#40)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| APEX-Agents | 75.5% | — |
| Berkeley Function Calling Leaderboard | — | 54% |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 52.4 (#29), GPT-4.1: 11.7 (#334)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| ARC-AGI-2 | — | 0.4% |
| SimpleBench | — | 27% |
| Kagi LLM Benchmark | — | 52.3% |
| ARC-AGI-1 | — | 5.5% |
| CritPt | 31.4% | — |
| Chess Puzzles | — | 6% |
| EnigmaEval | — | 2.2% |
| LMArena Hard Prompts | — | 1384 |
| Mystery Game Puzzles | 65% | — |
| DTBench | — | 68.3% |
| LMCA | — | 25.6% |
| Epoch Capabilities Index | — | 136.79 |
| ForecastBench | — | 61.5 |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 88.7 (#4), GPT-4.1: 21.4 (#269)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 88.8% | 6% |
| OTIS Mock AIME 2024-2025 | 100% | 38.3% |
| FrontierMath Tier 4 | 80.5% | — |
| ProofBench | 100% | — |
| Omni-MATH | — | 47.1% |
| LMArena Math | — | 1369 |
| MATH Level 5 | — | 83% |
| FrontierMath (Feb 2025 set) | — | 5.5% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#11), GPT-4.1: 37.0 (#152)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| GPQA Diamond | 95.6% | 66.9% |
| SimpleQA Verified | 46.5% | 31.1% |
| Humanity's Last Exam | — | 5.4% |
| MMLU-Pro | — | 81.1% |
| Vectara Hallucination Rate | — | 5.6% |
| GPQA (HELM) | — | 65.9% |
| LMArena Expert | — | 1364 |
Multimodal Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 53.2 (#5), GPT-4.1: 37.5 (#66)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| LMArena Vision | — | 1210 |
| GeoBench | — | 72% |
| Furniture Assembly | 75% | — |
Multilingual Not comparable
Claude Sonnet 5.5: —, GPT-4.1: 49.6 (#128)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| LMArena Non-English | — | 1370 |
| LMArena Chinese | — | 1382 |
| LMArena French | — | 1383 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1320 |
| LMArena Korean | — | 1339 |
| LMArena Russian | — | 1377 |
| LMArena Spanish | — | 1375 |
Instruction Following Not comparable
Claude Sonnet 5.5: —, GPT-4.1: 71.5 (#148)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| IFEval | — | 83.8% |
| LMArena Instruction Following | — | 1367 |
Long Context Not comparable
Claude Sonnet 5.5: —, GPT-4.1: 40.0 (#158)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| Fiction.LiveBench | — | 63.9% |
| LMArena Longer Query | — | 1385 |
Writing & Preference Not comparable
Claude Sonnet 5.5: —, GPT-4.1: 57.8 (#120)
| Benchmark | Claude Sonnet 5.5 | GPT-4.1 |
|---|---|---|
| LMArena Text | — | 1383 |
| LMArena Creative Writing | — | 1363 |
| EQ-Bench Creative Writing | — | 1420 |
| WildBench | — | 85.4% |
| LMArena Multi-Turn | — | 1398 |
Frequently asked questions
Is Claude Sonnet 5.5 better than GPT-4.1?
Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 35.7 on the Noometry Index.
Which is cheaper, Claude Sonnet 5.5 or GPT-4.1?
GPT-4.1 is cheaper. It lists at $2 per million input tokens and $8 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or GPT-4.1 better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 65.5 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 5.5 and GPT-4.1 share?
5 benchmarks have published results for both models. Claude Sonnet 5.5 has 16 scored results on Noometry and GPT-4.1 has 52.