Model comparison
Claude 3.5 Haiku vs GPT-5.4 mini
GPT-5.4 mini is the stronger model overall, scoring 44.8 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-5.4 mini in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.4 to 18.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Claude 3.5 Haiku and 88.9% for GPT-5.4 mini.
Side by side
| Claude 3.5 Haiku | GPT-5.4 mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 28.9 | 44.8 |
| Released | 2024-10-22 | 2026-03-17 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.75 |
| Output $ / M tokens | — | $4.50 |
| Results tracked | 49 | 46 |
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Category by category
Coding GPT-5.4 mini leads
Claude 3.5 Haiku: 32.6 (#258), GPT-5.4 mini: 45.0 (#67)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| SciCode | 27.4% | 49.9% |
| WeirdML | 30.7% | 60.3% |
| LMArena Coding | 1287 | 1438 |
| FrontierCode | — | 27% |
| Aider Polyglot | 28% | — |
| LMArena WebDev | — | 1397 |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use GPT-5.4 mini leads
Claude 3.5 Haiku: 27.7 (#90), GPT-5.4 mini: 29.6 (#74)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| DeepResearch Bench | — | 36.3% |
| BALROG | 19.3% | — |
Reasoning GPT-5.4 mini leads
Claude 3.5 Haiku: 17.1 (#286), GPT-5.4 mini: 30.3 (#77)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| CritPt | 0% | 10% |
| LMArena Hard Prompts | 1251 | 1424 |
| DTBench | 56.7% | 80% |
| Epoch Capabilities Index | 127.15 | 148.83 |
| ARC-AGI-2 | — | 18.9% |
| Kagi LLM Benchmark | — | 37.9% |
| NYT Connections (extended) | — | 61.8% |
| ARC-AGI-1 | — | 63.7% |
| Chess Puzzles | — | 24% |
| Thematic Generalization | — | 61.7% |
| LiveBench Reasoning | 28.1% | — |
| Mystery Game Puzzles | — | 11% |
| LiveBench Data Analysis | 48.5% | — |
| LMCA | — | 40.8% |
| ForecastBench | — | 57 |
| LiveBench | 43.5% | — |
Math GPT-5.4 mini leads
Claude 3.5 Haiku: 13.7 (#294), GPT-5.4 mini: 45.4 (#63)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 88.9% |
| LMArena Math | 1244 | 1418 |
| FrontierMath (Feb 2025 set) | 0.3% | 28.3% |
| FrontierMath (Tiers 1-3) | — | 51.2% |
| FrontierMath Tier 4 | — | 9.8% |
| ProofBench | — | 21% |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-5.4 mini leads
Claude 3.5 Haiku: 18.7 (#276), GPT-5.4 mini: 51.4 (#62)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| GPQA Diamond | 38.1% | 86.9% |
| LMArena Expert | 1208 | 1434 |
| SimpleQA Verified | — | 29.4% |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| Vectara Hallucination Rate | — | 5.5% |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |
Multimodal GPT-5.4 mini leads
Claude 3.5 Haiku: 26.3 (#113), GPT-5.4 mini: 39.0 (#51)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| LMArena Vision | 1092 | 1245 |
| GeoBench | 34% | — |
Multilingual GPT-5.4 mini leads
Claude 3.5 Haiku: 40.2 (#213), GPT-5.4 mini: 52.1 (#94)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| LMArena Non-English | 1238 | 1405 |
| LMArena Chinese | 1229 | 1446 |
| LMArena French | 1262 | 1440 |
| LMArena German | 1237 | 1407 |
| LMArena Japanese | 1175 | 1375 |
| LMArena Korean | 1172 | 1369 |
| LMArena Russian | 1253 | 1417 |
| LMArena Spanish | 1261 | 1403 |
Instruction Following GPT-5.4 mini leads
Claude 3.5 Haiku: 63.1 (#229), GPT-5.4 mini: 74.3 (#99)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| LMArena Instruction Following | 1241 | 1405 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context GPT-5.4 mini leads
Claude 3.5 Haiku: 38.3 (#195), GPT-5.4 mini: 42.9 (#107)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| LMArena Longer Query | 1261 | 1407 |
Writing & Preference GPT-5.4 mini leads
Claude 3.5 Haiku: 42.9 (#228), GPT-5.4 mini: 64.2 (#56)
| Benchmark | Claude 3.5 Haiku | GPT-5.4 mini |
|---|---|---|
| LMArena Text | 1255 | 1411 |
| LMArena Creative Writing | 1233 | 1370 |
| EQ-Bench Creative Writing | 1146 | 1665 |
| LMArena Multi-Turn | 1265 | 1429 |
| Short-Story Creative Writing | 73.5% | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than GPT-5.4 mini?
GPT-5.4 mini is the stronger model overall, scoring 44.8 to 28.9 on the Noometry Index.
Is Claude 3.5 Haiku or GPT-5.4 mini better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.0 versus 32.6 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and GPT-5.4 mini share?
27 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GPT-5.4 mini has 46.