# Claude 3 Haiku vs DeepSeek-V3.2-Speciale

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 25.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-haiku-vs-deepseek-v3-2-speciale
- Last updated: 2026-10-12
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and DeepSeek-V3.2-Speciale in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 16.3.
- The biggest single-benchmark swing is WeirdML: 9.8% for Claude 3 Haiku and 46.7% for DeepSeek-V3.2-Speciale.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 25.9 | 39.7 |
| Rank | 340 | 162 |
| Context | — | 128K |
| Input $/M | — | $0.58 |
| Output $/M | — | $1.68 |
| Weights | Proprietary | Open |

## Coding

- Claude 3 Haiku: 26.4 (#325)
- DeepSeek-V3.2-Speciale: 40.4 (#140)

| Benchmark | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| WeirdML | 9.8% | 46.7% |
| BigCodeBench Instruct | 39.4% | — |
| LMArena Coding | 1199 | — |
| BigCodeBench Complete | 50.1% | — |
| CadEval | 12% | — |
| HumanEval+ | 68.9% | — |
| MBPP+ | 68.8% | — |

## Reasoning

- Claude 3 Haiku: 16.3 (#307)
- DeepSeek-V3.2-Speciale: 32.9 (#73)

| Benchmark | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| SimpleBench | — | 52.6% |
| Kagi LLM Benchmark | 34.2% | — |
| LMArena Hard Prompts | 1174 | — |
| DTBench | 50.1% | — |
| LMCA | 8.8% | — |
| Epoch Capabilities Index | 118.35 | — |
| ForecastBench | 53.2 | — |
| WinoGrande | 74.2% | — |

## Math

- Claude 3 Haiku: 9.8 (#319)
- DeepSeek-V3.2-Speciale: —

| Benchmark | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.8% | — |
| LMArena Math | 1188 | — |
| MATH Level 5 | 14.9% | — |

## Knowledge

- Claude 3 Haiku: 17.3 (#285)
- DeepSeek-V3.2-Speciale: —

| Benchmark | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| GPQA Diamond | 36.3% | — |
| Confabulations | 34.2% | — |
| LMArena Expert | 1148 | — |
| MMLU | 73.8% | — |

## Multimodal

- Claude 3 Haiku: 23.6 (#128)
- DeepSeek-V3.2-Speciale: —

| Benchmark | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |

## Multilingual

- Claude 3 Haiku: 36.0 (#243)
- DeepSeek-V3.2-Speciale: —

| Benchmark | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Non-English | 1178 | — |
| LMArena Chinese | 1155 | — |
| LMArena French | 1195 | — |
| LMArena German | 1174 | — |
| LMArena Japanese | 1102 | — |
| LMArena Korean | 1109 | — |
| LMArena Russian | 1204 | — |
| LMArena Spanish | 1166 | — |

## Instruction Following

- Claude 3 Haiku: 61.3 (#247)
- DeepSeek-V3.2-Speciale: —

| Benchmark | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Instruction Following | 1173 | — |

## Long Context

- Claude 3 Haiku: 36.1 (#237)
- DeepSeek-V3.2-Speciale: —

| Benchmark | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Longer Query | 1190 | — |

## Writing & Preference

- Claude 3 Haiku: 29.7 (#291)
- DeepSeek-V3.2-Speciale: 46.0 (#222)

| Benchmark | Claude 3 Haiku | DeepSeek-V3.2-Speciale |
|---|---|---|
| EQ-Bench Creative Writing | 717 | 1276 |
| LMArena Text | 1195 | — |
| LMArena Creative Writing | 1157 | — |
| LMArena Multi-Turn | 1190 | — |

## FAQ

### Is Claude 3 Haiku better than DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 25.9 on the Noometry Index.

### Is Claude 3 Haiku or DeepSeek-V3.2-Speciale better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 26.4 in the Noometry coding category.

### How many benchmarks do Claude 3 Haiku and DeepSeek-V3.2-Speciale share?

2 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and DeepSeek-V3.2-Speciale has 3.
