Model comparison
Qwen3 32B vs Wizardlm 70b
Qwen3 32B is the stronger model overall, scoring 39.2 to 33.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Qwen3 32B scores higher in 6 categories and Wizardlm 70b in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 32B leads 52.9 to 34.8.
Side by side
| Qwen3 32B | Wizardlm 70b | |
|---|---|---|
| Provider | Alibaba (Qwen) | Microsoft |
| Noometry Index | 39.2 | 33.0 |
| Released | 2025-04 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.70 | — |
| Output $ / M tokens | $2.80 | — |
| Results tracked | 26 | 12 |
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Category by category
Coding Qwen3 32B leads
Qwen3 32B: 37.7 (#190), Wizardlm 70b: 31.4 (#285)
| Benchmark | Qwen3 32B | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1358 | 1081 |
| Aider Polyglot | 40% | — |
| SciCode | 35.4% | — |
Agentic & Tool Use Not comparable
Qwen3 32B: 32.6 (#62), Wizardlm 70b: —
| Benchmark | Qwen3 32B | Wizardlm 70b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 48.7% | — |
Reasoning Too close to call
Qwen3 32B: 20.2 (#241), Wizardlm 70b: 20.7 (#234)
| Benchmark | Qwen3 32B | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1079 |
| Kagi LLM Benchmark | 54.9% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | 5% | — |
| DTBench | 67.5% | — |
| LMCA | 17.3% | — |
| Epoch Capabilities Index | 138.51 | — |
Math Qwen3 32B leads
Qwen3 32B: 39.7 (#99), Wizardlm 70b: 32.2 (#218)
| Benchmark | Qwen3 32B | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1399 | 1116 |
| OTIS Mock AIME 2024-2025 | 66.9% | — |
Knowledge Not comparable
Qwen3 32B: 40.0 (#125), Wizardlm 70b: —
| Benchmark | Qwen3 32B | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 65.7% | — |
| Vectara Hallucination Rate | 5.9% | — |
| LMArena Expert | 1362 | — |
Multilingual Qwen3 32B leads
Qwen3 32B: 45.6 (#167), Wizardlm 70b: 29.6 (#265)
| Benchmark | Qwen3 32B | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1317 | 1078 |
| LMArena Chinese | 1357 | 1052 |
| LMArena German | 1341 | 1083 |
| LMArena Russian | 1311 | 1155 |
Instruction Following Qwen3 32B leads
Qwen3 32B: 68.9 (#179), Wizardlm 70b: 56.3 (#273)
| Benchmark | Qwen3 32B | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1305 | 1093 |
Long Context Qwen3 32B leads
Qwen3 32B: 43.8 (#87), Wizardlm 70b: 33.3 (#263)
| Benchmark | Qwen3 32B | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1327 | 1097 |
| Fiction.LiveBench | 74.2% | — |
Writing & Preference Qwen3 32B leads
Qwen3 32B: 52.9 (#163), Wizardlm 70b: 34.8 (#269)
| Benchmark | Qwen3 32B | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1340 | 1120 |
| LMArena Creative Writing | 1297 | 1149 |
| LMArena Multi-Turn | 1331 | 1108 |
Frequently asked questions
Is Qwen3 32B better than Wizardlm 70b?
Qwen3 32B is the stronger model overall, scoring 39.2 to 33.0 on the Noometry Index.
Is Qwen3 32B or Wizardlm 70b better for coding?
Qwen3 32B scores higher on coding benchmarks: 37.7 versus 31.4 in the Noometry coding category.
How many benchmarks do Qwen3 32B and Wizardlm 70b share?
12 benchmarks have published results for both models. Qwen3 32B has 26 scored results on Noometry and Wizardlm 70b has 12.