Model comparison
Claude 3.5 Haiku vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 29.2 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and Qwen3.8 27B in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.8 27B leads 41.0 to 17.7.
- The biggest single-benchmark swing is DTBench: 56.7% for Claude 3.5 Haiku and 88% for Qwen3.8 27B.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Haiku | Qwen3.8 27B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 29.2 | 46.0 |
| Released | 2024-10-22 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.99 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 49 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.8 27B leads
Claude 3.5 Haiku: 32.9 (#265), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| SciCode | 27.4% | 46.6% |
| LMArena Coding | 1286 | 1482 |
| Aider Polyglot | 28% | — |
| LMArena WebDev | — | 1593 |
| WeirdML | 30.7% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
Agentic & Tool Use Qwen3.8 27B leads
Claude 3.5 Haiku: 28.0 (#95), Qwen3.8 27B: 32.9 (#57)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
| BALROG | 19.3% | — |
Reasoning Qwen3.8 27B leads
Claude 3.5 Haiku: 17.7 (#290), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| CritPt | 0% | 5.4% |
| LMArena Hard Prompts | 1251 | 1460 |
| DTBench | 56.7% | 88% |
| Epoch Capabilities Index | 127.15 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| LiveBench Reasoning | 28.1% | — |
| LiveBench Data Analysis | 48.5% | — |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| LiveBench | 43.5% | — |
Math Qwen3.8 27B leads
Claude 3.5 Haiku: 14.7 (#300), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1244 | 1456 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| ProofBench | — | 16% |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Qwen3.8 27B leads
Claude 3.5 Haiku: 18.7 (#281), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1208 | 1482 |
| GPQA Diamond | 38.1% | — |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |
Multimodal Qwen3.8 27B leads
Claude 3.5 Haiku: 26.8 (#117), Qwen3.8 27B: 41.3 (#37)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | 1092 | 1271 |
| GeoBench | 34% | — |
Multilingual Qwen3.8 27B leads
Claude 3.5 Haiku: 40.0 (#218), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1238 | 1430 |
| LMArena Chinese | 1229 | 1504 |
| LMArena French | 1264 | 1465 |
| LMArena German | 1237 | 1438 |
| LMArena Japanese | 1175 | 1384 |
| LMArena Korean | 1173 | 1393 |
| LMArena Russian | 1253 | 1415 |
| LMArena Spanish | 1261 | 1448 |
Instruction Following Qwen3.8 27B leads
Claude 3.5 Haiku: 62.9 (#234), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1241 | 1439 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context Qwen3.8 27B leads
Claude 3.5 Haiku: 38.3 (#200), Qwen3.8 27B: 44.3 (#70)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1261 | 1450 |
Writing & Preference Qwen3.8 27B leads
Claude 3.5 Haiku: 42.7 (#234), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Claude 3.5 Haiku | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1255 | 1441 |
| LMArena Creative Writing | 1233 | 1384 |
| EQ-Bench Creative Writing | 1146 | 1671 |
| LMArena Multi-Turn | 1265 | 1441 |
| Short-Story Creative Writing | 73.5% | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 29.2 on the Noometry Index.
Is Claude 3.5 Haiku or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Qwen3.8 27B share?
23 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Qwen3.8 27B has 31.