# Claude 3.5 Haiku vs DeepSeek-R1

> DeepSeek-R1 is the stronger model overall, scoring 42.3 to 29.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-5-haiku-vs-deepseek-r1
- Last updated: 2026-10-12
- Shared benchmarks: 41

## Summary

- They share 41 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and DeepSeek-R1 in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-R1 leads 43.8 to 14.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Claude 3.5 Haiku and 66.4% for DeepSeek-R1.

## Snapshot

| | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 29.2 | 42.3 |
| Rank | 315 | 115 |
| Context | — | 164K |
| Input $/M | — | $0.50 |
| Output $/M | — | $2.15 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude 3.5 Haiku: 32.9 (#265)
- DeepSeek-R1: 46.3 (#68)

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| Aider Polyglot | 28% | 71.4% |
| SciCode | 27.4% | 35.7% |
| WeirdML | 30.7% | 41.6% |
| LiveBench Coding | 51.4% | 66.7% |
| LMArena Coding | 1286 | 1427 |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
| ALE-Bench | — | 804.12 |
| AlgoTune | — | 1.7 |

## Agentic & Tool Use

- Claude 3.5 Haiku: 28.0 (#95)
- DeepSeek-R1: 30.7 (#75)

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| BALROG | 19.3% | 34.9% |
| DeepResearch Bench | — | 35.1% |
| METR Time Horizons | — | 53.8% |

## Reasoning

- Claude 3.5 Haiku: 17.7 (#290)
- DeepSeek-R1: 18.6 (#278)

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| CritPt | 0% | 1.1% |
| LiveBench Reasoning | 28.1% | 83.2% |
| LMArena Hard Prompts | 1251 | 1416 |
| LiveBench Data Analysis | 48.5% | 69.8% |
| Epoch Capabilities Index | 127.15 | 141.29 |
| LiveBench | 43.5% | 71.6% |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 40.8% |
| Kagi LLM Benchmark | — | 69.4% |
| ARC-AGI-1 | — | 21.2% |
| DTBench | 56.7% | — |
| ForecastBench | — | 60 |

## Math

- Claude 3.5 Haiku: 14.7 (#300)
- DeepSeek-R1: 43.8 (#79)

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 66.4% |
| Omni-MATH | 22.4% | 42.4% |
| LiveBench Math | 35.5% | 80.7% |
| LMArena Math | 1244 | 1400 |
| MATH Level 5 | 46.4% | 96.6% |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Claude 3.5 Haiku: 18.7 (#281)
- DeepSeek-R1: 44.5 (#87)

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| GPQA Diamond | 38.1% | 76.3% |
| MMLU-Pro | 60.5% | 79.3% |
| Confabulations | 36.7% | 12.7% |
| GPQA (HELM) | 36.3% | 66.6% |
| LMArena Expert | 1208 | 1394 |
| Vectara Hallucination Rate | — | 11.3% |
| MMLU | 74.3% | — |

## Multimodal

- Claude 3.5 Haiku: 26.8 (#117)
- DeepSeek-R1: —

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |

## Multilingual

- Claude 3.5 Haiku: 40.0 (#218)
- DeepSeek-R1: 52.4 (#85)

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| LMArena Non-English | 1238 | 1412 |
| LMArena Chinese | 1229 | 1442 |
| LMArena French | 1264 | 1417 |
| LMArena German | 1237 | 1404 |
| LMArena Japanese | 1175 | 1391 |
| LMArena Korean | 1173 | 1360 |
| LMArena Russian | 1253 | 1423 |
| LMArena Spanish | 1261 | 1411 |

## Instruction Following

- Claude 3.5 Haiku: 62.9 (#234)
- DeepSeek-R1: 72.0 (#143)

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| LiveBench Instruction Following | 61.9% | 80.5% |
| IFEval | 79.2% | 78.4% |
| LMArena Instruction Following | 1241 | 1382 |

## Long Context

- Claude 3.5 Haiku: 38.3 (#200)
- DeepSeek-R1: 45.4 (#36)

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| LMArena Longer Query | 1261 | 1391 |
| Fiction.LiveBench | — | 75% |

## Writing & Preference

- Claude 3.5 Haiku: 42.7 (#234)
- DeepSeek-R1: 61.4 (#88)

| Benchmark | Claude 3.5 Haiku | DeepSeek-R1 |
|---|---|---|
| LMArena Text | 1255 | 1428 |
| LMArena Creative Writing | 1233 | 1405 |
| Short-Story Creative Writing | 73.5% | 83% |
| EQ-Bench Creative Writing | 1146 | 1500 |
| WildBench | 76% | 82.8% |
| LMArena Multi-Turn | 1265 | 1405 |
| LiveBench Language | 35.4% | 48.5% |

## FAQ

### Is Claude 3.5 Haiku better than DeepSeek-R1?

DeepSeek-R1 is the stronger model overall, scoring 42.3 to 29.2 on the Noometry Index.

### Is Claude 3.5 Haiku or DeepSeek-R1 better for coding?

DeepSeek-R1 scores higher on coding benchmarks: 46.3 versus 32.9 in the Noometry coding category.

### How many benchmarks do Claude 3.5 Haiku and DeepSeek-R1 share?

41 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and DeepSeek-R1 has 52.