Model comparison
Claude 3 Haiku vs GPT-5 Mini
GPT-5 Mini is the stronger model overall, scoring 41.8 to 25.9 on the Noometry Index.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and GPT-5 Mini in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 Mini leads 46.7 to 9.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.8% for Claude 3 Haiku and 86.7% for GPT-5 Mini.
Side by side
| Claude 3 Haiku | GPT-5 Mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 25.9 | 41.8 |
| Released | 2024-03-07 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $2 |
| Results tracked | 37 | 60 |
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Category by category
Coding GPT-5 Mini leads
Claude 3 Haiku: 26.4 (#325), GPT-5 Mini: 40.1 (#146)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| WeirdML | 9.8% | 52.7% |
| LMArena Coding | 1199 | 1406 |
| SWE-bench Verified | — | 64.7% |
| SWE-bench Verified (bash only) | — | 59.8% |
| SWE-bench Multilingual | — | 39.7% |
| SciCode | — | 39.2% |
| BigCodeBench Instruct | 39.4% | — |
| BigCodeBench Complete | 50.1% | — |
| CadEval | 12% | — |
| ALE-Bench | — | 799.77 |
| AlgoTune | — | 1.38 |
| HumanEval+ | 68.9% | — |
| MBPP+ | 68.8% | — |
Agentic & Tool Use Not comparable
Claude 3 Haiku: —, GPT-5 Mini: 31.1 (#70)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| Terminal-Bench | — | 34.8% |
| Berkeley Function Calling Leaderboard | — | 55.5% |
| Vending-Bench 2 | — | -31.18 |
Reasoning GPT-5 Mini leads
Claude 3 Haiku: 16.3 (#307), GPT-5 Mini: 23.9 (#168)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| Kagi LLM Benchmark | 34.2% | 70.3% |
| LMArena Hard Prompts | 1174 | 1380 |
| DTBench | 50.1% | 80.5% |
| LMCA | 8.8% | 34.2% |
| Epoch Capabilities Index | 118.35 | 145.52 |
| ForecastBench | 53.2 | 61 |
| ARC-AGI-2 | — | 4.4% |
| ARC-AGI-1 | — | 54.3% |
| CritPt | — | 0% |
| Chess Puzzles | — | 30% |
| EnigmaEval | — | 8.2% |
| Mystery Game Puzzles | — | 10% |
| WinoGrande | 74.2% | — |
Math GPT-5 Mini leads
Claude 3 Haiku: 9.8 (#319), GPT-5 Mini: 46.7 (#69)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.8% | 86.7% |
| LMArena Math | 1188 | 1378 |
| MATH Level 5 | 14.9% | 97.8% |
| FrontierMath (Tiers 1-3) | — | 46.7% |
| FrontierMath Tier 4 | — | 12.2% |
| ProofBench | — | 9% |
| Omni-MATH | — | 72.2% |
| FrontierMath (Feb 2025 set) | — | 27.2% |
| FrontierMath Tier 4 (v1) | — | 6.3% |
Knowledge GPT-5 Mini leads
Claude 3 Haiku: 17.3 (#285), GPT-5 Mini: 45.6 (#86)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| GPQA Diamond | 36.3% | 75% |
| Confabulations | 34.2% | 13.3% |
| LMArena Expert | 1148 | 1379 |
| Humanity's Last Exam | — | 19.4% |
| SimpleQA Verified | — | 21.6% |
| MMLU-Pro | — | 83.5% |
| Vectara Hallucination Rate | — | 12.9% |
| GPQA (HELM) | — | 75.6% |
| MMLU | 73.8% | — |
Multimodal GPT-5 Mini leads
Claude 3 Haiku: 23.6 (#128), GPT-5 Mini: 35.6 (#85)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| LMArena Vision | 950 | 1202 |
| VPCT | — | 40.2% |
| ScienceQA | 72% | — |
Multilingual GPT-5 Mini leads
Claude 3 Haiku: 36.0 (#243), GPT-5 Mini: 48.9 (#137)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| LMArena Non-English | 1178 | 1363 |
| LMArena Chinese | 1155 | 1385 |
| LMArena French | 1195 | 1386 |
| LMArena German | 1174 | 1366 |
| LMArena Japanese | 1102 | 1341 |
| LMArena Korean | 1109 | 1308 |
| LMArena Russian | 1204 | 1362 |
| LMArena Spanish | 1166 | 1355 |
Instruction Following GPT-5 Mini leads
Claude 3 Haiku: 61.3 (#247), GPT-5 Mini: 76.2 (#46)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| LMArena Instruction Following | 1173 | 1357 |
| IFEval | — | 92.7% |
Long Context GPT-5 Mini leads
Claude 3 Haiku: 36.1 (#237), GPT-5 Mini: 41.9 (#132)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| LMArena Longer Query | 1190 | 1355 |
| Fiction.LiveBench | — | 69.4% |
Writing & Preference GPT-5 Mini leads
Claude 3 Haiku: 29.7 (#291), GPT-5 Mini: 55.2 (#148)
| Benchmark | Claude 3 Haiku | GPT-5 Mini |
|---|---|---|
| LMArena Text | 1195 | 1373 |
| LMArena Creative Writing | 1157 | 1325 |
| EQ-Bench Creative Writing | 717 | 1313 |
| LMArena Multi-Turn | 1190 | 1363 |
| Short-Story Creative Writing | — | 83.1% |
| WildBench | — | 85.5% |
Frequently asked questions
Is Claude 3 Haiku better than GPT-5 Mini?
GPT-5 Mini is the stronger model overall, scoring 41.8 to 25.9 on the Noometry Index.
Is Claude 3 Haiku or GPT-5 Mini better for coding?
GPT-5 Mini scores higher on coding benchmarks: 40.1 versus 26.4 in the Noometry coding category.
How many benchmarks do Claude 3 Haiku and GPT-5 Mini share?
29 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and GPT-5 Mini has 60.