# Claude 3 Haiku vs Deepseek Coder v2

> Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 25.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-haiku-vs-deepseek-coder-v2
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and Deepseek Coder v2 in 8 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Deepseek Coder v2 leads 34.9 to 9.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 50.1% for Claude 3 Haiku and 59.7% for Deepseek Coder v2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 25.9 | 35.9 |
| Rank | 340 | 220 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Claude 3 Haiku: 26.4 (#325)
- Deepseek Coder v2: 38.1 (#183)

| Benchmark | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| BigCodeBench Instruct | 39.4% | 48.2% |
| LMArena Coding | 1199 | 1251 |
| BigCodeBench Complete | 50.1% | 59.7% |
| HumanEval+ | 68.9% | 82.3% |
| MBPP+ | 68.8% | 75.1% |
| WeirdML | 9.8% | — |
| CadEval | 12% | — |

## Reasoning

- Claude 3 Haiku: 16.3 (#307)
- Deepseek Coder v2: 23.6 (#176)

| Benchmark | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| LMArena Hard Prompts | 1174 | 1207 |
| WinoGrande | 74.2% | 83.7% |
| Kagi LLM Benchmark | 34.2% | — |
| DTBench | 50.1% | — |
| LMCA | 8.8% | — |
| Epoch Capabilities Index | 118.35 | — |
| ForecastBench | 53.2 | — |

## Math

- Claude 3 Haiku: 9.8 (#319)
- Deepseek Coder v2: 34.9 (#190)

| Benchmark | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| LMArena Math | 1188 | 1241 |
| OTIS Mock AIME 2024-2025 | 1.8% | — |
| MATH Level 5 | 14.9% | — |
| GSM8K | — | 94.5% |

## Knowledge

- Claude 3 Haiku: 17.3 (#285)
- Deepseek Coder v2: 32.3 (#212)

| Benchmark | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| LMArena Expert | 1148 | 1181 |
| GPQA Diamond | 36.3% | — |
| Confabulations | 34.2% | — |
| ARC (AI2) Challenge | — | 64.3% |
| MMLU | 73.8% | — |

## Multimodal

- Claude 3 Haiku: 23.6 (#128)
- Deepseek Coder v2: —

| Benchmark | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |

## Multilingual

- Claude 3 Haiku: 36.0 (#243)
- Deepseek Coder v2: 36.3 (#240)

| Benchmark | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| LMArena Non-English | 1178 | 1182 |
| LMArena Chinese | 1155 | 1201 |
| LMArena French | 1195 | 1185 |
| LMArena German | 1174 | 1164 |
| LMArena Japanese | 1102 | 1126 |
| LMArena Korean | 1109 | 1104 |
| LMArena Russian | 1204 | 1188 |
| LMArena Spanish | 1166 | 1153 |

## Instruction Following

- Claude 3 Haiku: 61.3 (#247)
- Deepseek Coder v2: 61.7 (#242)

| Benchmark | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| LMArena Instruction Following | 1173 | 1180 |

## Long Context

- Claude 3 Haiku: 36.1 (#237)
- Deepseek Coder v2: 37.0 (#224)

| Benchmark | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| LMArena Longer Query | 1190 | 1219 |

## Writing & Preference

- Claude 3 Haiku: 29.7 (#291)
- Deepseek Coder v2: 38.2 (#253)

| Benchmark | Claude 3 Haiku | Deepseek Coder v2 |
|---|---|---|
| LMArena Text | 1195 | 1191 |
| LMArena Creative Writing | 1157 | 1120 |
| LMArena Multi-Turn | 1190 | 1177 |
| EQ-Bench Creative Writing | 717 | — |

## FAQ

### Is Claude 3 Haiku better than Deepseek Coder v2?

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 25.9 on the Noometry Index.

### Is Claude 3 Haiku or Deepseek Coder v2 better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 26.4 in the Noometry coding category.

### How many benchmarks do Claude 3 Haiku and Deepseek Coder v2 share?

22 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and Deepseek Coder v2 has 24.