Model comparison
Claude 3.5 Haiku vs Qwen3.5-Flash
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 29.2 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-Flash leads 43.2 to 18.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Claude 3.5 Haiku and 84.4% for Qwen3.5-Flash.
Side by side
| Claude 3.5 Haiku | Qwen3.5-Flash | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 29.2 | 42.5 |
| Released | 2024-10-22 | 2026-02-23 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 49 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.5-Flash leads
Claude 3.5 Haiku: 32.9 (#265), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1286 | 1412 |
| Aider Polyglot | 28% | — |
| LMArena WebDev | — | 1244 |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
| ALE-Bench | — | 221.8 |
Agentic & Tool Use Not comparable
Claude 3.5 Haiku: 28.0 (#95), Qwen3.5-Flash: —
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| BALROG | 19.3% | — |
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Claude 3.5 Haiku: 17.7 (#290), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1403 |
| DTBench | 56.7% | 82.9% |
| Epoch Capabilities Index | 127.15 | 143.98 |
| CritPt | 0% | — |
| Chess Puzzles | — | 21% |
| LiveBench Reasoning | 28.1% | — |
| Mystery Game Puzzles | — | 20% |
| LiveBench Data Analysis | 48.5% | — |
| LMCA | — | 29.1% |
| LiveBench | 43.5% | — |
Math Qwen3.5-Flash leads
Claude 3.5 Haiku: 14.7 (#300), Qwen3.5-Flash: 37.4 (#158)
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 84.4% |
| LMArena Math | 1244 | 1407 |
| FrontierMath (Feb 2025 set) | 0.3% | 6.2% |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.5-Flash leads
Claude 3.5 Haiku: 18.7 (#281), Qwen3.5-Flash: 43.2 (#93)
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 38.1% | 82.3% |
| LMArena Expert | 1208 | 1407 |
| SimpleQA Verified | — | 20.3% |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| Vectara Hallucination Rate | — | 10.5% |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |
Multimodal Not comparable
Claude 3.5 Haiku: 26.8 (#117), Qwen3.5-Flash: —
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |
Multilingual Qwen3.5-Flash leads
Claude 3.5 Haiku: 40.0 (#218), Qwen3.5-Flash: 50.5 (#121)
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1238 | 1385 |
| LMArena Chinese | 1229 | 1446 |
| LMArena French | 1264 | 1412 |
| LMArena German | 1237 | 1390 |
| LMArena Japanese | 1175 | 1368 |
| LMArena Korean | 1173 | 1344 |
| LMArena Russian | 1253 | 1379 |
| LMArena Spanish | 1261 | 1400 |
Instruction Following Qwen3.5-Flash leads
Claude 3.5 Haiku: 62.9 (#234), Qwen3.5-Flash: 72.6 (#139)
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1241 | 1374 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context Qwen3.5-Flash leads
Claude 3.5 Haiku: 38.3 (#200), Qwen3.5-Flash: 42.4 (#124)
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1261 | 1392 |
Writing & Preference Qwen3.5-Flash leads
Claude 3.5 Haiku: 42.7 (#234), Qwen3.5-Flash: 57.9 (#122)
| Benchmark | Claude 3.5 Haiku | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1255 | 1397 |
| LMArena Creative Writing | 1233 | 1343 |
| LMArena Multi-Turn | 1265 | 1393 |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than Qwen3.5-Flash?
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 29.2 on the Noometry Index.
Is Claude 3.5 Haiku or Qwen3.5-Flash better for coding?
Qwen3.5-Flash scores higher on coding benchmarks: 34.2 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Qwen3.5-Flash share?
22 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Qwen3.5-Flash has 32.