Model comparison
Claude Haiku 5.5 vs DeepSeek-V3.1
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 42.8 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 38.9.
- Claude Haiku 5.5 is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- Claude Haiku 5.5 accepts more context: 1M tokens versus 164K.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 5.5 | DeepSeek-V3.1 | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 49.5 | 42.8 |
| Released | 2026-10-07 | 2025-08-21 |
| Weights | Proprietary | Open |
| Context window | 1M | 164K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.10 | $0.25 |
| Output $ / M tokens | $0.50 | $0.95 |
| Results tracked | 9 | 27 |
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Category by category
Coding Claude Haiku 5.5 leads
Claude Haiku 5.5: 49.2 (#50), DeepSeek-V3.1: 40.3 (#144)
| Benchmark | Claude Haiku 5.5 | DeepSeek-V3.1 |
|---|---|---|
| LMArena WebDev | 1587 | — |
| WeirdML | — | 38.4% |
| LMArena Coding | — | 1417 |
Reasoning Claude Haiku 5.5 leads
Claude Haiku 5.5: 35.2 (#69), DeepSeek-V3.1: 27.9 (#110)
| Benchmark | Claude Haiku 5.5 | DeepSeek-V3.1 |
|---|---|---|
| SimpleBench | — | 40% |
| Kagi LLM Benchmark | — | 53.2% |
| NYT Connections (extended) | 65.7% | — |
| LMArena Hard Prompts | — | 1417 |
| Mystery Game Puzzles | 30% | — |
| DTBench | — | 82.7% |
| LMCA | — | 24.3% |
| Epoch Capabilities Index | — | 139.92 |
| ForecastBench | — | 58 |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), DeepSeek-V3.1: 38.9 (#122)
| Benchmark | Claude Haiku 5.5 | DeepSeek-V3.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 75.1% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| LMArena Math | — | 1420 |
Knowledge Claude Haiku 5.5 leads
Claude Haiku 5.5: 50.8 (#70), DeepSeek-V3.1: 43.7 (#90)
| Benchmark | Claude Haiku 5.5 | DeepSeek-V3.1 |
|---|---|---|
| GPQA Diamond | 89.6% | — |
| SimpleQA Verified | 23.8% | — |
| Vectara Hallucination Rate | — | 5.5% |
| LMArena Expert | — | 1405 |
Multimodal Not comparable
Claude Haiku 5.5: 43.7 (#21), DeepSeek-V3.1: —
| Benchmark | Claude Haiku 5.5 | DeepSeek-V3.1 |
|---|---|---|
| Furniture Assembly | 47.5% | — |
Multilingual Not comparable
Claude Haiku 5.5: —, DeepSeek-V3.1: 51.6 (#106)
| Benchmark | Claude Haiku 5.5 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Non-English | — | 1400 |
| LMArena Chinese | — | 1469 |
| LMArena French | — | 1447 |
| LMArena German | — | 1411 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1337 |
| LMArena Russian | — | 1405 |
| LMArena Spanish | — | 1431 |
Instruction Following Not comparable
Claude Haiku 5.5: —, DeepSeek-V3.1: 73.9 (#110)
| Benchmark | Claude Haiku 5.5 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Instruction Following | — | 1400 |
Long Context Not comparable
Claude Haiku 5.5: —, DeepSeek-V3.1: 36.3 (#232)
| Benchmark | Claude Haiku 5.5 | DeepSeek-V3.1 |
|---|---|---|
| Fiction.LiveBench | — | 52.8% |
| LMArena Longer Query | — | 1422 |
Writing & Preference Not comparable
Claude Haiku 5.5: —, DeepSeek-V3.1: 60.3 (#98)
| Benchmark | Claude Haiku 5.5 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Text | — | 1420 |
| LMArena Creative Writing | — | 1401 |
| EQ-Bench Creative Writing | — | 1436 |
| LMArena Multi-Turn | — | 1408 |
Frequently asked questions
Is Claude Haiku 5.5 better than DeepSeek-V3.1?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 42.8 on the Noometry Index.
Which is cheaper, Claude Haiku 5.5 or DeepSeek-V3.1?
Claude Haiku 5.5 is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; DeepSeek-V3.1 lists at $0.25 and $0.95.
Is Claude Haiku 5.5 or DeepSeek-V3.1 better for coding?
Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 40.3 in the Noometry coding category.
Which has the bigger context window?
Claude Haiku 5.5 does, with 1M tokens against 164K.
How many benchmarks do Claude Haiku 5.5 and DeepSeek-V3.1 share?
0 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and DeepSeek-V3.1 has 27.