Model comparison
Claude 3.5 Haiku vs GPT-5.5
GPT-5.5 is the stronger model overall, scoring 63.4 to 28.9 on the Noometry Index.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and GPT-5.5 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 leads 81.5 to 13.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Claude 3.5 Haiku and 100% for GPT-5.5.
Side by side
| Claude 3.5 Haiku | GPT-5.5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 28.9 | 63.4 |
| Released | 2024-10-22 | 2026-04-23 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $5 |
| Output $ / M tokens | — | $30 |
| Results tracked | 49 | 71 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.5 leads
Claude 3.5 Haiku: 32.6 (#258), GPT-5.5: 58.3 (#13)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| SciCode | 27.4% | 56.1% |
| WeirdML | 30.7% | 84.9% |
| LMArena Coding | 1287 | 1494 |
| SWE-bench Verified | — | 80.6% |
| DeepSWE | — | 67% |
| FrontierCode | — | 43% |
| Aider Polyglot | 28% | — |
| LMArena WebDev | — | 1512 |
| GSO | — | 40.2% |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| MirrorCode | — | 10% |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
| ALE-Bench | — | 1,943 |
Agentic & Tool Use GPT-5.5 leads
Claude 3.5 Haiku: 27.7 (#90), GPT-5.5: 50.7 (#6)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| Terminal-Bench | — | 84.7% |
| APEX-Agents | — | 55.1% |
| OSWorld 2.0 | — | 13% |
| Remote Labor Index | — | 6.3% |
| τ²-bench Banking | — | 44.6% |
| DeepResearch Bench | — | 54% |
| PostTrainBench | — | 27.2% |
| BALROG | 19.3% | — |
| ExploitBench | — | 47.4% |
| GBAEval | — | 53.2% |
| GDP.pdf | — | 26% |
| LMArena Search | — | 1242 |
| Vending-Bench 2 | — | 7,524 |
Reasoning GPT-5.5 leads
Claude 3.5 Haiku: 17.1 (#286), GPT-5.5: 72.7 (#8)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| CritPt | 0% | 27.1% |
| LMArena Hard Prompts | 1251 | 1489 |
| DTBench | 56.7% | 96% |
| Epoch Capabilities Index | 127.15 | 159.25 |
| ARC-AGI-2 | — | 85% |
| SimpleBench | — | 69% |
| Kagi LLM Benchmark | — | 88.8% |
| NYT Connections (extended) | — | 96.2% |
| ARC-AGI-1 | — | 95% |
| Chess Puzzles | — | 54% |
| EBR-Bench | — | 34.3% |
| LiveBench Reasoning | 28.1% | — |
| Mystery Game Puzzles | — | 56% |
| LiveBench Data Analysis | 48.5% | — |
| LMCA | — | 54.3% |
| Surface Evolver Bench | — | 88.1% |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | — | 60.6 |
| LiveBench | 43.5% | — |
Math GPT-5.5 leads
Claude 3.5 Haiku: 13.7 (#294), GPT-5.5: 81.5 (#9)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 100% |
| LMArena Math | 1244 | 1486 |
| FrontierMath (Feb 2025 set) | 0.3% | 51.7% |
| FrontierMath (Tiers 1-3) | — | 85.3% |
| FrontierMath Tier 4 | — | 72.5% |
| MathArena Final-Answer Competitions | — | 94.3% |
| ProofBench | — | 50% |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath Erdős | — | 0% |
| FrontierMath Tier 4 (v1) | — | 35.4% |
Knowledge GPT-5.5 leads
Claude 3.5 Haiku: 18.7 (#276), GPT-5.5: 64.4 (#14)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| GPQA Diamond | 38.1% | 94% |
| LMArena Expert | 1208 | 1508 |
| SimpleQA Verified | — | 63% |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |
Multimodal GPT-5.5 leads
Claude 3.5 Haiku: 26.3 (#113), GPT-5.5: 47.1 (#11)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| LMArena Vision | 1092 | 1297 |
| GeoBench | 34% | — |
| Blueprint-Bench 2 | — | 36.2% |
| Furniture Assembly | — | 44.2% |
| LMArena Document | — | 1486 |
Multilingual GPT-5.5 leads
Claude 3.5 Haiku: 40.2 (#213), GPT-5.5: 56.5 (#19)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| LMArena Non-English | 1238 | 1467 |
| LMArena Chinese | 1229 | 1535 |
| LMArena French | 1262 | 1486 |
| LMArena German | 1237 | 1478 |
| LMArena Japanese | 1175 | 1498 |
| LMArena Korean | 1172 | 1461 |
| LMArena Russian | 1253 | 1473 |
| LMArena Spanish | 1261 | 1469 |
Instruction Following GPT-5.5 leads
Claude 3.5 Haiku: 63.1 (#229), GPT-5.5: 77.7 (#18)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| LMArena Instruction Following | 1241 | 1479 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context GPT-5.5 leads
Claude 3.5 Haiku: 38.3 (#195), GPT-5.5: 48.3 (#12)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| LMArena Longer Query | 1261 | 1484 |
| CL-bench Life | — | 22.2% |
Writing & Preference GPT-5.5 leads
Claude 3.5 Haiku: 42.9 (#228), GPT-5.5: 72.8 (#13)
| Benchmark | Claude 3.5 Haiku | GPT-5.5 |
|---|---|---|
| LMArena Text | 1255 | 1471 |
| LMArena Creative Writing | 1233 | 1455 |
| EQ-Bench Creative Writing | 1146 | 1844 |
| LMArena Multi-Turn | 1265 | 1477 |
| Short-Story Creative Writing | 73.5% | — |
| WildBench | 76% | — |
| EQ-Bench 4 | — | 1315 |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than GPT-5.5?
GPT-5.5 is the stronger model overall, scoring 63.4 to 28.9 on the Noometry Index.
Is Claude 3.5 Haiku or GPT-5.5 better for coding?
GPT-5.5 scores higher on coding benchmarks: 58.3 versus 32.6 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and GPT-5.5 share?
27 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GPT-5.5 has 71.