Model comparison
Claude 3.5 Haiku vs DeepSeek-V2 (MoE-236B, May 2024)
Claude 3.5 Haiku has enough public results to be ranked (#309); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 4 shared benchmarks.
DeepSeekSummary
- They share 4 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and DeepSeek-V2 (MoE-236B, May 2024) in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 32.6.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 28.9 | 39.7 |
| Released | 2024-10-22 | 2024-05-07 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 49 | 10 |
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Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
Claude 3.5 Haiku: 32.6 (#258), DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 48.9% |
| BigCodeBench Complete | 59% | 59.4% |
| Aider Polyglot | 28% | — |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| LiveBench Coding | 51.4% | — |
| LMArena Coding | 1287 | — |
| CadEval | 32% | — |
Agentic & Tool Use Not comparable
Claude 3.5 Haiku: 27.7 (#90), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| BALROG | 19.3% | — |
Reasoning Not comparable
Claude 3.5 Haiku: 17.1 (#286), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| Epoch Capabilities Index | 127.15 | 124.78 |
| CritPt | 0% | — |
| LiveBench Reasoning | 28.1% | — |
| LMArena Hard Prompts | 1251 | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| BIG-Bench Hard | — | 78.8% |
| HellaSwag | — | 87.1% |
| LiveBench | 43.5% | — |
| PIQA | — | 83.9% |
| WinoGrande | — | 86.3% |
Math Not comparable
Claude 3.5 Haiku: 13.7 (#294), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| LMArena Math | 1244 | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Not comparable
Claude 3.5 Haiku: 18.7 (#276), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| MMLU | 74.3% | 78.4% |
| GPQA Diamond | 38.1% | — |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| LMArena Expert | 1208 | — |
| ARC (AI2) Challenge | — | 92.2% |
| TriviaQA | — | 80% |
Multimodal Not comparable
Claude 3.5 Haiku: 26.3 (#113), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |
Multilingual Not comparable
Claude 3.5 Haiku: 40.2 (#213), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Non-English | 1238 | — |
| LMArena Chinese | 1229 | — |
| LMArena French | 1262 | — |
| LMArena German | 1237 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1172 | — |
| LMArena Russian | 1253 | — |
| LMArena Spanish | 1261 | — |
Instruction Following Not comparable
Claude 3.5 Haiku: 63.1 (#229), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
| LMArena Instruction Following | 1241 | — |
Long Context Not comparable
Claude 3.5 Haiku: 38.3 (#195), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Longer Query | 1261 | — |
Writing & Preference Not comparable
Claude 3.5 Haiku: 42.9 (#228), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Haiku | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Text | 1255 | — |
| LMArena Creative Writing | 1233 | — |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
| LMArena Multi-Turn | 1265 | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than DeepSeek-V2 (MoE-236B, May 2024)?
Claude 3.5 Haiku has enough public results to be ranked (#309); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is Claude 3.5 Haiku or DeepSeek-V2 (MoE-236B, May 2024) better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 32.6 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and DeepSeek-V2 (MoE-236B, May 2024) share?
4 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and DeepSeek-V2 (MoE-236B, May 2024) has 10.