# Claude 3.5 Haiku vs GPT-5 Pro

> GPT-5 Pro is the stronger model overall, scoring 46.4 to 29.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-5-haiku-vs-gpt-5-pro
- Last updated: 2026-10-12
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and GPT-5 Pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 18.7.
- The biggest single-benchmark swing is WeirdML: 30.7% for Claude 3.5 Haiku and 60.4% for GPT-5 Pro.

## Snapshot

| | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 29.2 | 46.4 |
| Rank | 315 | 64 |
| Context | — | 400K |
| Input $/M | — | $15 |
| Output $/M | — | $120 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude 3.5 Haiku: 32.9 (#265)
- GPT-5 Pro: 44.0 (#80)

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| WeirdML | 30.7% | 60.4% |
| Aider Polyglot | 28% | — |
| SciCode | 27.4% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| LMArena Coding | 1286 | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
| AlgoTune | — | 1.31 |

## Agentic & Tool Use

- Claude 3.5 Haiku: 28.0 (#95)
- GPT-5 Pro: —

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| BALROG | 19.3% | — |

## Reasoning

- Claude 3.5 Haiku: 17.7 (#290)
- GPT-5 Pro: 38.9 (#62)

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| Epoch Capabilities Index | 127.15 | 150.28 |
| ARC-AGI-2 | — | 18.3% |
| SimpleBench | — | 61.6% |
| Kagi LLM Benchmark | — | 76.8% |
| ARC-AGI-1 | — | 70.2% |
| CritPt | 0% | — |
| EnigmaEval | — | 18.8% |
| LiveBench Reasoning | 28.1% | — |
| LMArena Hard Prompts | 1251 | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| LiveBench | 43.5% | — |

## Math

- Claude 3.5 Haiku: 14.7 (#300)
- GPT-5 Pro: 48.5 (#63)

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| LMArena Math | 1244 | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- Claude 3.5 Haiku: 18.7 (#281)
- GPT-5 Pro: 56.7 (#42)

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| GPQA Diamond | 38.1% | — |
| Humanity's Last Exam | — | 31.6% |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| LMArena Expert | 1208 | — |
| MMLU | 74.3% | — |

## Multimodal

- Claude 3.5 Haiku: 26.8 (#117)
- GPT-5 Pro: —

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |

## Multilingual

- Claude 3.5 Haiku: 40.0 (#218)
- GPT-5 Pro: —

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| LMArena Non-English | 1238 | — |
| LMArena Chinese | 1229 | — |
| LMArena French | 1264 | — |
| LMArena German | 1237 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1173 | — |
| LMArena Russian | 1253 | — |
| LMArena Spanish | 1261 | — |

## Instruction Following

- Claude 3.5 Haiku: 62.9 (#234)
- GPT-5 Pro: —

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
| LMArena Instruction Following | 1241 | — |

## Long Context

- Claude 3.5 Haiku: 38.3 (#200)
- GPT-5 Pro: —

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| LMArena Longer Query | 1261 | — |

## Writing & Preference

- Claude 3.5 Haiku: 42.7 (#234)
- GPT-5 Pro: —

| Benchmark | Claude 3.5 Haiku | GPT-5 Pro |
|---|---|---|
| LMArena Text | 1255 | — |
| LMArena Creative Writing | 1233 | — |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
| LMArena Multi-Turn | 1265 | — |
| LiveBench Language | 35.4% | — |

## FAQ

### Is Claude 3.5 Haiku better than GPT-5 Pro?

GPT-5 Pro is the stronger model overall, scoring 46.4 to 29.2 on the Noometry Index.

### Is Claude 3.5 Haiku or GPT-5 Pro better for coding?

GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 32.9 in the Noometry coding category.

### How many benchmarks do Claude 3.5 Haiku and GPT-5 Pro share?

2 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GPT-5 Pro has 12.