Model comparison
Claude 3.5 Haiku vs GPT-4.1 mini
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.2 on the Noometry Index.
Last verified . 36 shared benchmarks.
Summary
- They share 36 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 3 categories and GPT-4.1 mini in 7 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 18.7.
- The biggest single-benchmark swing is MATH Level 5: 46.4% for Claude 3.5 Haiku and 87.3% for GPT-4.1 mini.
Side by side
| Claude 3.5 Haiku | GPT-4.1 mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 29.2 | 33.6 |
| Released | 2024-10-22 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $1.60 |
| Results tracked | 49 | 47 |
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Category by category
Coding Claude 3.5 Haiku leads
Claude 3.5 Haiku: 32.9 (#265), GPT-4.1 mini: 30.6 (#293)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| Aider Polyglot | 28% | 32.4% |
| SciCode | 27.4% | 40.4% |
| WeirdML | 30.7% | 37.6% |
| BigCodeBench Instruct | 46.1% | 48.9% |
| LMArena Coding | 1286 | 1367 |
| CadEval | 32% | 16% |
| SWE-bench Verified (bash only) | — | 23.9% |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
Agentic & Tool Use GPT-4.1 mini leads
Claude 3.5 Haiku: 28.0 (#95), GPT-4.1 mini: 33.3 (#55)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |
| BALROG | 19.3% | — |
Reasoning Claude 3.5 Haiku leads
Claude 3.5 Haiku: 17.7 (#290), GPT-4.1 mini: 10.8 (#340)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1251 | 1349 |
| DTBench | 56.7% | 68.8% |
| Epoch Capabilities Index | 127.15 | 135.01 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| Chess Puzzles | — | 7% |
| LiveBench Reasoning | 28.1% | — |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | 48.5% | — |
| LMCA | — | 21.1% |
| LiveBench | 43.5% | — |
Math GPT-4.1 mini leads
Claude 3.5 Haiku: 14.7 (#300), GPT-4.1 mini: 24.1 (#270)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 44.7% |
| Omni-MATH | 22.4% | 49.1% |
| LMArena Math | 1244 | 1343 |
| MATH Level 5 | 46.4% | 87.3% |
| FrontierMath (Feb 2025 set) | 0.3% | 4.5% |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| LiveBench Math | 35.5% | — |
Knowledge GPT-4.1 mini leads
Claude 3.5 Haiku: 18.7 (#281), GPT-4.1 mini: 34.7 (#194)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 38.1% | 65.8% |
| MMLU-Pro | 60.5% | 78.3% |
| GPQA (HELM) | 36.3% | 61.4% |
| LMArena Expert | 1208 | 1338 |
| SimpleQA Verified | — | 12.7% |
| Confabulations | 36.7% | — |
| MMLU | 74.3% | — |
Multimodal GPT-4.1 mini leads
Claude 3.5 Haiku: 26.8 (#117), GPT-4.1 mini: 35.8 (#82)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1092 | 1181 |
| GeoBench | 34% | — |
Multilingual GPT-4.1 mini leads
Claude 3.5 Haiku: 40.0 (#218), GPT-4.1 mini: 45.7 (#166)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1238 | 1318 |
| LMArena Chinese | 1229 | 1329 |
| LMArena French | 1264 | 1358 |
| LMArena German | 1237 | 1351 |
| LMArena Japanese | 1175 | 1290 |
| LMArena Korean | 1173 | 1298 |
| LMArena Russian | 1253 | 1324 |
| LMArena Spanish | 1261 | 1319 |
Instruction Following GPT-4.1 mini leads
Claude 3.5 Haiku: 62.9 (#234), GPT-4.1 mini: 73.7 (#118)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| IFEval | 79.2% | 90.4% |
| LMArena Instruction Following | 1241 | 1333 |
| LiveBench Instruction Following | 61.9% | — |
Long Context Claude 3.5 Haiku leads
Claude 3.5 Haiku: 38.3 (#200), GPT-4.1 mini: 31.8 (#275)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1261 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference GPT-4.1 mini leads
Claude 3.5 Haiku: 42.7 (#234), GPT-4.1 mini: 48.6 (#199)
| Benchmark | Claude 3.5 Haiku | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1255 | 1340 |
| LMArena Creative Writing | 1233 | 1300 |
| EQ-Bench Creative Writing | 1146 | 1147 |
| WildBench | 76% | 83.8% |
| LMArena Multi-Turn | 1265 | 1354 |
| Short-Story Creative Writing | 73.5% | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than GPT-4.1 mini?
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.2 on the Noometry Index.
Is Claude 3.5 Haiku or GPT-4.1 mini better for coding?
Claude 3.5 Haiku scores higher on coding benchmarks: 32.9 versus 30.6 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and GPT-4.1 mini share?
36 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GPT-4.1 mini has 47.