# Claude 3.5 Haiku vs DeepSeek LLM 67B

> Claude 3.5 Haiku is the stronger model overall, scoring 29.2 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-5-haiku-vs-deepseek-llm-67b
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 8 categories and DeepSeek LLM 67B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude 3.5 Haiku leads 18.7 to 7.0.
- The biggest single-benchmark swing is MATH Level 5: 46.4% for Claude 3.5 Haiku and 6.4% for DeepSeek LLM 67B.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 29.2 | 24.9 |
| Rank | 315 | 347 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Claude 3.5 Haiku: 32.9 (#265)
- DeepSeek LLM 67B: 31.9 (#278)

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| LMArena Coding | 1286 | 1096 |
| Aider Polyglot | 28% | — |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |

## Agentic & Tool Use

- Claude 3.5 Haiku: 28.0 (#95)
- DeepSeek LLM 67B: —

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| BALROG | 19.3% | — |

## Reasoning

- Claude 3.5 Haiku: 17.7 (#290)
- DeepSeek LLM 67B: 16.5 (#304)

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1070 |
| Epoch Capabilities Index | 127.15 | 110.5 |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| LiveBench | 43.5% | — |

## Math

- Claude 3.5 Haiku: 14.7 (#300)
- DeepSeek LLM 67B: 8.7 (#324)

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 0.8% |
| LMArena Math | 1244 | 1108 |
| MATH Level 5 | 46.4% | 6.4% |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Claude 3.5 Haiku: 18.7 (#281)
- DeepSeek LLM 67B: 7.0 (#313)

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| GPQA Diamond | 38.1% | 24.6% |
| 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)
- DeepSeek LLM 67B: —

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |

## Multilingual

- Claude 3.5 Haiku: 40.0 (#218)
- DeepSeek LLM 67B: 29.4 (#267)

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| LMArena Non-English | 1238 | 1073 |
| LMArena Chinese | 1229 | 1132 |
| 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)
- DeepSeek LLM 67B: 55.4 (#277)

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| LMArena Instruction Following | 1241 | 1079 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |

## Long Context

- Claude 3.5 Haiku: 38.3 (#200)
- DeepSeek LLM 67B: 33.1 (#265)

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| LMArena Longer Query | 1261 | 1092 |

## Writing & Preference

- Claude 3.5 Haiku: 42.7 (#234)
- DeepSeek LLM 67B: 31.6 (#282)

| Benchmark | Claude 3.5 Haiku | DeepSeek LLM 67B |
|---|---|---|
| LMArena Text | 1255 | 1105 |
| LMArena Creative Writing | 1233 | 1067 |
| LMArena Multi-Turn | 1265 | 1082 |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |

## FAQ

### Is Claude 3.5 Haiku better than DeepSeek LLM 67B?

Claude 3.5 Haiku is the stronger model overall, scoring 29.2 to 24.9 on the Noometry Index.

### Is Claude 3.5 Haiku or DeepSeek LLM 67B better for coding?

Claude 3.5 Haiku scores higher on coding benchmarks: 32.9 versus 31.9 in the Noometry coding category.

### How many benchmarks do Claude 3.5 Haiku and DeepSeek LLM 67B share?

14 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and DeepSeek LLM 67B has 15.