# Claude 3 Haiku vs DeepSeek-V3

> DeepSeek-V3 is the stronger model overall, scoring 39.2 to 25.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-haiku-vs-deepseek-v3
- Last updated: 2026-10-10
- Shared benchmarks: 34

## Summary

- They share 34 benchmarks with published results for both. Claude 3 Haiku scores higher in 1 category and DeepSeek-V3 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3 leads 57.6 to 29.8.
- The biggest single-benchmark swing is MATH Level 5: 14.9% for Claude 3 Haiku and 75.5% for DeepSeek-V3.
- DeepSeek-V3 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 25.7 | 39.2 |
| Rank | 333 | 157 |
| Context | — | 164K |
| Input $/M | — | $0.24 |
| Output $/M | — | $0.90 |
| Weights | Proprietary | Open |

## Coding

- Claude 3 Haiku: 26.1 (#320)
- DeepSeek-V3: 41.9 (#99)

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| WeirdML | 9.8% | 36.1% |
| BigCodeBench Instruct | 39.4% | 50% |
| LMArena Coding | 1199 | 1368 |
| BigCodeBench Complete | 50.1% | 62.2% |
| HumanEval+ | 68.9% | 86.6% |
| MBPP+ | 68.8% | 73% |
| Aider Polyglot | — | 55.1% |
| SciCode | — | 35.8% |
| LiveBench Coding | — | 70.9% |
| CadEval | 12% | — |

## Agentic & Tool Use

- Claude 3 Haiku: —
- DeepSeek-V3: —

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| METR Time Horizons | — | 49.6% |

## Reasoning

- Claude 3 Haiku: 15.7 (#303)
- DeepSeek-V3: 20.0 (#226)

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| Kagi LLM Benchmark | 34.2% | 52.3% |
| LMArena Hard Prompts | 1174 | 1365 |
| DTBench | 50.1% | 64.8% |
| LMCA | 8.8% | 15.5% |
| Epoch Capabilities Index | 118.3 | 135.95 |
| ForecastBench | 53.2 | 59.1 |
| WinoGrande | 74.2% | 85.2% |
| SimpleBench | — | 27.2% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 65.8% |
| LiveBench Data Analysis | — | 60.9% |
| BIG-Bench Hard | — | 87.5% |
| HellaSwag | — | 88.9% |
| LiveBench | — | 66.9% |
| PIQA | — | 84.7% |

## Math

- Claude 3 Haiku: 9.2 (#313)
- DeepSeek-V3: 30.4 (#208)

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.8% | 37.8% |
| LMArena Math | 1188 | 1373 |
| MATH Level 5 | 14.9% | 75.5% |
| Omni-MATH | — | 40.3% |
| LiveBench Math | — | 73.5% |
| FrontierMath (Feb 2025 set) | — | 1.7% |

## Knowledge

- Claude 3 Haiku: 17.3 (#280)
- DeepSeek-V3: 37.5 (#147)

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| GPQA Diamond | 36.3% | 67.6% |
| Confabulations | 34.2% | 26.1% |
| LMArena Expert | 1148 | 1352 |
| MMLU | 73.8% | 87.2% |
| MMLU-Pro | — | 72.3% |
| Vectara Hallucination Rate | — | 6.1% |
| GPQA (HELM) | — | 53.8% |
| ARC (AI2) Challenge | — | 95.3% |
| TriviaQA | — | 82.9% |

## Multimodal

- Claude 3 Haiku: 23.1 (#123)
- DeepSeek-V3: —

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |

## Multilingual

- Claude 3 Haiku: 36.1 (#238)
- DeepSeek-V3: 48.8 (#138)

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| LMArena Non-English | 1178 | 1358 |
| LMArena Chinese | 1155 | 1390 |
| LMArena French | 1194 | 1386 |
| LMArena German | 1174 | 1374 |
| LMArena Japanese | 1102 | 1333 |
| LMArena Korean | 1108 | 1321 |
| LMArena Russian | 1204 | 1372 |
| LMArena Spanish | 1165 | 1358 |

## Instruction Following

- Claude 3 Haiku: 61.5 (#242)
- DeepSeek-V3: 73.0 (#125)

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| LMArena Instruction Following | 1174 | 1345 |
| LiveBench Instruction Following | — | 81.5% |
| IFEval | — | 83.2% |

## Long Context

- Claude 3 Haiku: 36.1 (#232)
- DeepSeek-V3: 34.0 (#248)

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| LMArena Longer Query | 1191 | 1353 |
| Fiction.LiveBench | — | 50% |

## Writing & Preference

- Claude 3 Haiku: 29.8 (#286)
- DeepSeek-V3: 57.6 (#124)

| Benchmark | Claude 3 Haiku | DeepSeek-V3 |
|---|---|---|
| LMArena Text | 1195 | 1375 |
| LMArena Creative Writing | 1157 | 1364 |
| EQ-Bench Creative Writing | 717 | 1472 |
| LMArena Multi-Turn | 1190 | 1389 |
| Short-Story Creative Writing | — | 77% |
| WildBench | — | 83% |
| LiveBench Language | — | 49.1% |

## FAQ

### Is Claude 3 Haiku better than DeepSeek-V3?

DeepSeek-V3 is the stronger model overall, scoring 39.2 to 25.7 on the Noometry Index.

### Is Claude 3 Haiku or DeepSeek-V3 better for coding?

DeepSeek-V3 scores higher on coding benchmarks: 41.9 versus 26.1 in the Noometry coding category.

### How many benchmarks do Claude 3 Haiku and DeepSeek-V3 share?

34 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and DeepSeek-V3 has 60.