Model comparison
Claude 3 Haiku vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 25.9 on the Noometry Index.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and Qwen3.6 35B-A3B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 17.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.8% for Claude 3 Haiku and 86.7% for Qwen3.6 35B-A3B.
- Qwen3.6 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| Claude 3 Haiku | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 25.9 | 37.6 |
| Released | 2024-03-07 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 37 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.6 35B-A3B leads
Claude 3 Haiku: 26.4 (#325), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| WeirdML | 9.8% | 34.5% |
| SciCode | — | 35.8% |
| BigCodeBench Instruct | 39.4% | — |
| LMArena Coding | 1199 | — |
| BigCodeBench Complete | 50.1% | — |
| CadEval | 12% | — |
| HumanEval+ | 68.9% | — |
| MBPP+ | 68.8% | — |
Agentic & Tool Use Not comparable
Claude 3 Haiku: —, Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
Claude 3 Haiku: 16.3 (#307), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| DTBench | 50.1% | 73.9% |
| LMCA | 8.8% | 29.7% |
| Epoch Capabilities Index | 118.35 | 143.93 |
| Kagi LLM Benchmark | 34.2% | — |
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| LMArena Hard Prompts | 1174 | — |
| Mystery Game Puzzles | — | 22% |
| Surface Evolver Bench | — | 44.4% |
| ForecastBench | 53.2 | — |
| WinoGrande | 74.2% | — |
Math Qwen3.6 35B-A3B leads
Claude 3 Haiku: 9.8 (#319), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.8% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 20.4% |
| LMArena Math | 1188 | — |
| MATH Level 5 | 14.9% | — |
Knowledge Qwen3.6 35B-A3B leads
Claude 3 Haiku: 17.3 (#285), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | 36.3% | 84.8% |
| Confabulations | 34.2% | — |
| LMArena Expert | 1148 | — |
| MMLU | 73.8% | — |
Multimodal Not comparable
Claude 3 Haiku: 23.6 (#128), Qwen3.6 35B-A3B: —
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |
Multilingual Not comparable
Claude 3 Haiku: 36.0 (#243), Qwen3.6 35B-A3B: —
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| 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 Not comparable
Claude 3 Haiku: 61.3 (#247), Qwen3.6 35B-A3B: —
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1173 | — |
Long Context Not comparable
Claude 3 Haiku: 36.1 (#237), Qwen3.6 35B-A3B: —
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1190 | — |
Writing & Preference Not comparable
Claude 3 Haiku: 29.7 (#291), Qwen3.6 35B-A3B: —
| Benchmark | Claude 3 Haiku | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1195 | — |
| LMArena Creative Writing | 1157 | — |
| EQ-Bench Creative Writing | 717 | — |
| LMArena Multi-Turn | 1190 | — |
Frequently asked questions
Is Claude 3 Haiku better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 25.9 on the Noometry Index.
Is Claude 3 Haiku or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 37.2 versus 26.4 in the Noometry coding category.
How many benchmarks do Claude 3 Haiku and Qwen3.6 35B-A3B share?
6 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and Qwen3.6 35B-A3B has 14.