Model comparison
Claude 3 Haiku vs GPT-5.2 Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 25.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Claude 3 Haiku scores higher in 0 categories and GPT-5.2 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 9.8.
Side by side
| Claude 3 Haiku | GPT-5.2 Pro | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 25.9 | 52.3 |
| Released | 2024-03-07 | 2025-12-11 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $21 |
| Output $ / M tokens | — | $168 |
| Results tracked | 37 | 8 |
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Category by category
Coding Not comparable
Claude 3 Haiku: 26.4 (#325), GPT-5.2 Pro: —
| Benchmark | Claude 3 Haiku | GPT-5.2 Pro |
|---|---|---|
| WeirdML | 9.8% | — |
| BigCodeBench Instruct | 39.4% | — |
| LMArena Coding | 1199 | — |
| BigCodeBench Complete | 50.1% | — |
| CadEval | 12% | — |
| HumanEval+ | 68.9% | — |
| MBPP+ | 68.8% | — |
Reasoning GPT-5.2 Pro leads
Claude 3 Haiku: 16.3 (#307), GPT-5.2 Pro: 51.5 (#33)
| Benchmark | Claude 3 Haiku | GPT-5.2 Pro |
|---|---|---|
| Epoch Capabilities Index | 118.35 | 155.4 |
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| Kagi LLM Benchmark | 34.2% | — |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| LMArena Hard Prompts | 1174 | — |
| DTBench | 50.1% | — |
| LMCA | 8.8% | — |
| ForecastBench | 53.2 | — |
| WinoGrande | 74.2% | — |
Math GPT-5.2 Pro leads
Claude 3 Haiku: 9.8 (#319), GPT-5.2 Pro: 65.3 (#29)
| Benchmark | Claude 3 Haiku | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74% |
| FrontierMath Tier 4 | — | 46% |
| OTIS Mock AIME 2024-2025 | 1.8% | — |
| LMArena Math | 1188 | — |
| MATH Level 5 | 14.9% | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |
Knowledge Not comparable
Claude 3 Haiku: 17.3 (#285), GPT-5.2 Pro: —
| Benchmark | Claude 3 Haiku | GPT-5.2 Pro |
|---|---|---|
| GPQA Diamond | 36.3% | — |
| Confabulations | 34.2% | — |
| LMArena Expert | 1148 | — |
| MMLU | 73.8% | — |
Multimodal Not comparable
Claude 3 Haiku: 23.6 (#128), GPT-5.2 Pro: —
| Benchmark | Claude 3 Haiku | GPT-5.2 Pro |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |
Multilingual Not comparable
Claude 3 Haiku: 36.0 (#243), GPT-5.2 Pro: —
| Benchmark | Claude 3 Haiku | GPT-5.2 Pro |
|---|---|---|
| LMArena Non-English | 1178 | — |
| LMArena Chinese | 1155 | — |
| LMArena French | 1195 | — |
| LMArena German | 1174 | — |
| LMArena Japanese | 1102 | — |
| LMArena Korean | 1109 | — |
| LMArena Russian | 1204 | — |
| LMArena Spanish | 1166 | — |
Instruction Following Not comparable
Claude 3 Haiku: 61.3 (#247), GPT-5.2 Pro: —
| Benchmark | Claude 3 Haiku | GPT-5.2 Pro |
|---|---|---|
| LMArena Instruction Following | 1173 | — |
Long Context Not comparable
Claude 3 Haiku: 36.1 (#237), GPT-5.2 Pro: —
| Benchmark | Claude 3 Haiku | GPT-5.2 Pro |
|---|---|---|
| LMArena Longer Query | 1190 | — |
Writing & Preference Not comparable
Claude 3 Haiku: 29.7 (#291), GPT-5.2 Pro: —
| Benchmark | Claude 3 Haiku | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1195 | — |
| LMArena Creative Writing | 1157 | — |
| EQ-Bench Creative Writing | 717 | — |
| LMArena Multi-Turn | 1190 | — |
Frequently asked questions
Is Claude 3 Haiku better than GPT-5.2 Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 25.9 on the Noometry Index.
How many benchmarks do Claude 3 Haiku and GPT-5.2 Pro share?
1 benchmark has published results for both models. Claude 3 Haiku has 37 scored results on Noometry and GPT-5.2 Pro has 8.