Model comparison
Claude 3.5 Haiku vs Qwen2.5-Coder-32B
Qwen2.5-Coder-32B is the stronger model overall, scoring 32.9 to 28.9 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 5 categories and Qwen2.5-Coder-32B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2.5-Coder-32B leads 30.8 to 13.7.
- The biggest single-benchmark swing is LiveBench Reasoning: 28.1% for Claude 3.5 Haiku and 42.1% for Qwen2.5-Coder-32B.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Haiku | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 28.9 | 32.9 |
| Released | 2024-10-22 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | — | 33K |
| Max output | — | 29K |
| Input $ / M tokens | — | $0.66 |
| Output $ / M tokens | — | $1 |
| Results tracked | 49 | 31 |
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Category by category
Coding Claude 3.5 Haiku leads
Claude 3.5 Haiku: 32.6 (#258), Qwen2.5-Coder-32B: 22.4 (#328)
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| Aider Polyglot | 28% | 16.4% |
| BigCodeBench Instruct | 46.1% | 49% |
| LiveBench Coding | 51.4% | 56.9% |
| LMArena Coding | 1287 | 1276 |
| BigCodeBench Complete | 59% | 58% |
| SWE-bench Verified (bash only) | — | 9% |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| CadEval | 32% | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |
Agentic & Tool Use Not comparable
Claude 3.5 Haiku: 27.7 (#90), Qwen2.5-Coder-32B: —
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| BALROG | 19.3% | — |
Reasoning Qwen2.5-Coder-32B leads
Claude 3.5 Haiku: 17.1 (#286), Qwen2.5-Coder-32B: 20.4 (#220)
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Reasoning | 28.1% | 42.1% |
| LMArena Hard Prompts | 1251 | 1251 |
| LiveBench Data Analysis | 48.5% | 49.9% |
| Epoch Capabilities Index | 127.15 | 119.41 |
| LiveBench | 43.5% | 46.2% |
| CritPt | 0% | — |
| DTBench | 56.7% | — |
| HellaSwag | — | 83% |
| WinoGrande | — | 80.8% |
Math Qwen2.5-Coder-32B leads
Claude 3.5 Haiku: 13.7 (#294), Qwen2.5-Coder-32B: 30.8 (#203)
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Math | 35.5% | 46.6% |
| LMArena Math | 1244 | 1251 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| Omni-MATH | 22.4% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
| GSM8K | — | 93% |
Knowledge Qwen2.5-Coder-32B leads
Claude 3.5 Haiku: 18.7 (#276), Qwen2.5-Coder-32B: 32.9 (#200)
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1208 | 1221 |
| MMLU | 74.3% | 79.1% |
| GPQA Diamond | 38.1% | — |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| ARC (AI2) Challenge | — | 70.5% |
Multimodal Not comparable
Claude 3.5 Haiku: 26.3 (#113), Qwen2.5-Coder-32B: —
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |
Multilingual Claude 3.5 Haiku leads
Claude 3.5 Haiku: 40.2 (#213), Qwen2.5-Coder-32B: 38.0 (#230)
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1238 | 1205 |
| LMArena Chinese | 1229 | 1222 |
| LMArena Russian | 1253 | 1228 |
| LMArena French | 1262 | — |
| LMArena German | 1237 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1172 | — |
| LMArena Spanish | 1261 | — |
Instruction Following Claude 3.5 Haiku leads
Claude 3.5 Haiku: 63.1 (#229), Qwen2.5-Coder-32B: 61.6 (#240)
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | 61.9% | 58.7% |
| LMArena Instruction Following | 1241 | 1223 |
| IFEval | 79.2% | — |
Long Context Too close to call
Claude 3.5 Haiku: 38.3 (#195), Qwen2.5-Coder-32B: 37.9 (#204)
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1261 | 1251 |
Writing & Preference Claude 3.5 Haiku leads
Claude 3.5 Haiku: 42.9 (#228), Qwen2.5-Coder-32B: 41.8 (#235)
| Benchmark | Claude 3.5 Haiku | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1255 | 1230 |
| LMArena Creative Writing | 1233 | 1174 |
| LMArena Multi-Turn | 1265 | 1222 |
| LiveBench Language | 35.4% | 23.3% |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than Qwen2.5-Coder-32B?
Qwen2.5-Coder-32B is the stronger model overall, scoring 32.9 to 28.9 on the Noometry Index.
Is Claude 3.5 Haiku or Qwen2.5-Coder-32B better for coding?
Claude 3.5 Haiku scores higher on coding benchmarks: 32.6 versus 22.4 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Qwen2.5-Coder-32B share?
24 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Qwen2.5-Coder-32B has 31.