Model comparison
Claude 3 Haiku vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 25.9 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and DeepSeek V4.1 Flash in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 9.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.8% for Claude 3 Haiku and 98.3% for DeepSeek V4.1 Flash.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| Claude 3 Haiku | DeepSeek V4.1 Flash | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 25.9 | 52.8 |
| Released | 2024-03-07 | 2026-09-09 |
| Weights | Proprietary | Open |
| Context window | — | 1M |
| Max output | — | 393K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 37 | 37 |
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Category by category
Coding DeepSeek V4.1 Flash leads
Claude 3 Haiku: 26.4 (#325), DeepSeek V4.1 Flash: 52.9 (#32)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Coding | 1199 | 1506 |
| LMArena WebDev | — | 1619 |
| SciCode | — | 51.9% |
| WeirdML | 9.8% | — |
| BigCodeBench Instruct | 39.4% | — |
| BigCodeBench Complete | 50.1% | — |
| CadEval | 12% | — |
| ALE-Bench | — | 1,092 |
| HumanEval+ | 68.9% | — |
| MBPP+ | 68.8% | — |
Agentic & Tool Use Not comparable
Claude 3 Haiku: —, DeepSeek V4.1 Flash: 31.2 (#69)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| APEX-Agents | — | 39.5% |
| GDP.pdf | — | 19.8% |
Reasoning DeepSeek V4.1 Flash leads
Claude 3 Haiku: 16.3 (#307), DeepSeek V4.1 Flash: 50.2 (#36)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Hard Prompts | 1174 | 1483 |
| DTBench | 50.1% | 89.9% |
| LMCA | 8.8% | 47% |
| Epoch Capabilities Index | 118.35 | 154.9 |
| Kagi LLM Benchmark | 34.2% | — |
| NYT Connections (extended) | — | 89.6% |
| CritPt | — | 14.3% |
| Mystery Game Puzzles | — | 43% |
| Surface Evolver Bench | — | 46.3% |
| ForecastBench | 53.2 | — |
| WinoGrande | 74.2% | — |
Math DeepSeek V4.1 Flash leads
Claude 3 Haiku: 9.8 (#319), DeepSeek V4.1 Flash: 66.7 (#25)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.8% | 98.3% |
| LMArena Math | 1188 | 1477 |
| FrontierMath (Tiers 1-3) | — | 67.4% |
| FrontierMath Tier 4 | — | 26.8% |
| ProofBench | — | 54% |
| MATH Level 5 | 14.9% | — |
Knowledge DeepSeek V4.1 Flash leads
Claude 3 Haiku: 17.3 (#285), DeepSeek V4.1 Flash: 57.9 (#38)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| GPQA Diamond | 36.3% | 89.8% |
| LMArena Expert | 1148 | 1506 |
| Confabulations | 34.2% | — |
| MMLU | 73.8% | — |
Multimodal DeepSeek V4.1 Flash leads
Claude 3 Haiku: 23.6 (#128), DeepSeek V4.1 Flash: 39.1 (#61)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Vision | 950 | 1277 |
| Furniture Assembly | — | 34.2% |
| ScienceQA | 72% | — |
Multilingual DeepSeek V4.1 Flash leads
Claude 3 Haiku: 36.0 (#243), DeepSeek V4.1 Flash: 55.0 (#35)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Non-English | 1178 | 1448 |
| LMArena Chinese | 1155 | 1497 |
| LMArena French | 1195 | 1452 |
| LMArena German | 1174 | 1484 |
| LMArena Japanese | 1102 | 1412 |
| LMArena Korean | 1109 | 1452 |
| LMArena Russian | 1204 | 1471 |
| LMArena Spanish | 1166 | 1459 |
Instruction Following DeepSeek V4.1 Flash leads
Claude 3 Haiku: 61.3 (#247), DeepSeek V4.1 Flash: 77.3 (#26)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Instruction Following | 1173 | 1474 |
Long Context DeepSeek V4.1 Flash leads
Claude 3 Haiku: 36.1 (#237), DeepSeek V4.1 Flash: 45.2 (#47)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Longer Query | 1190 | 1475 |
Writing & Preference DeepSeek V4.1 Flash leads
Claude 3 Haiku: 29.7 (#291), DeepSeek V4.1 Flash: 65.4 (#48)
| Benchmark | Claude 3 Haiku | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Text | 1195 | 1462 |
| LMArena Creative Writing | 1157 | 1435 |
| EQ-Bench Creative Writing | 717 | 1540 |
| LMArena Multi-Turn | 1190 | 1457 |
Frequently asked questions
Is Claude 3 Haiku better than DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 25.9 on the Noometry Index.
Is Claude 3 Haiku or DeepSeek V4.1 Flash better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 26.4 in the Noometry coding category.
How many benchmarks do Claude 3 Haiku and DeepSeek V4.1 Flash share?
24 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and DeepSeek V4.1 Flash has 37.