Model comparison
Claude Haiku 5.5 vs Deepseek Coder v2
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 35.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 34.9.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 5.5 | Deepseek Coder v2 | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 49.5 | 35.9 |
| Released | 2026-10-07 | 2024-06-17 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 9 | 24 |
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Category by category
Coding Claude Haiku 5.5 leads
Claude Haiku 5.5: 49.2 (#50), Deepseek Coder v2: 38.1 (#183)
| Benchmark | Claude Haiku 5.5 | Deepseek Coder v2 |
|---|---|---|
| LMArena WebDev | 1587 | — |
| BigCodeBench Instruct | — | 48.2% |
| LMArena Coding | — | 1251 |
| BigCodeBench Complete | — | 59.7% |
| HumanEval+ | — | 82.3% |
| MBPP+ | — | 75.1% |
Reasoning Claude Haiku 5.5 leads
Claude Haiku 5.5: 35.2 (#69), Deepseek Coder v2: 23.6 (#176)
| Benchmark | Claude Haiku 5.5 | Deepseek Coder v2 |
|---|---|---|
| NYT Connections (extended) | 65.7% | — |
| LMArena Hard Prompts | — | 1207 |
| Mystery Game Puzzles | 30% | — |
| WinoGrande | — | 83.7% |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), Deepseek Coder v2: 34.9 (#190)
| Benchmark | Claude Haiku 5.5 | Deepseek Coder v2 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 75.1% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| LMArena Math | — | 1241 |
| GSM8K | — | 94.5% |
Knowledge Claude Haiku 5.5 leads
Claude Haiku 5.5: 50.8 (#70), Deepseek Coder v2: 32.3 (#212)
| Benchmark | Claude Haiku 5.5 | Deepseek Coder v2 |
|---|---|---|
| GPQA Diamond | 89.6% | — |
| SimpleQA Verified | 23.8% | — |
| LMArena Expert | — | 1181 |
| ARC (AI2) Challenge | — | 64.3% |
Multimodal Not comparable
Claude Haiku 5.5: 43.7 (#21), Deepseek Coder v2: —
| Benchmark | Claude Haiku 5.5 | Deepseek Coder v2 |
|---|---|---|
| Furniture Assembly | 47.5% | — |
Multilingual Not comparable
Claude Haiku 5.5: —, Deepseek Coder v2: 36.3 (#240)
| Benchmark | Claude Haiku 5.5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Non-English | — | 1182 |
| LMArena Chinese | — | 1201 |
| LMArena French | — | 1185 |
| LMArena German | — | 1164 |
| LMArena Japanese | — | 1126 |
| LMArena Korean | — | 1104 |
| LMArena Russian | — | 1188 |
| LMArena Spanish | — | 1153 |
Instruction Following Not comparable
Claude Haiku 5.5: —, Deepseek Coder v2: 61.7 (#242)
| Benchmark | Claude Haiku 5.5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Instruction Following | — | 1180 |
Long Context Not comparable
Claude Haiku 5.5: —, Deepseek Coder v2: 37.0 (#224)
| Benchmark | Claude Haiku 5.5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Longer Query | — | 1219 |
Writing & Preference Not comparable
Claude Haiku 5.5: —, Deepseek Coder v2: 38.2 (#253)
| Benchmark | Claude Haiku 5.5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Text | — | 1191 |
| LMArena Creative Writing | — | 1120 |
| LMArena Multi-Turn | — | 1177 |
Frequently asked questions
Is Claude Haiku 5.5 better than Deepseek Coder v2?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 35.9 on the Noometry Index.
Is Claude Haiku 5.5 or Deepseek Coder v2 better for coding?
Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 38.1 in the Noometry coding category.
How many benchmarks do Claude Haiku 5.5 and Deepseek Coder v2 share?
0 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Deepseek Coder v2 has 24.