Model comparison
Qwen3-30B-A3B vs Wizardlm 13b
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 31.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
Alibaba (Qwen)
MicrosoftSummary
- They share 10 benchmarks with published results for both. Qwen3-30B-A3B scores higher in 6 categories and Wizardlm 13b in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-30B-A3B leads 55.6 to 30.5.
Side by side
| Qwen3-30B-A3B | Wizardlm 13b | |
|---|---|---|
| Provider | Alibaba (Qwen) | Microsoft |
| Noometry Index | 38.9 | 31.4 |
| Released | 2025-04-28 | — |
| Weights | Open | Open |
| Context window | 41K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.12 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 32 | 10 |
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Category by category
Coding Qwen3-30B-A3B leads
Qwen3-30B-A3B: 37.5 (#194), Wizardlm 13b: 30.1 (#298)
| Benchmark | Qwen3-30B-A3B | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1416 | 1035 |
| SciCode | 33.3% | — |
| WeirdML | 29.8% | — |
Agentic & Tool Use Not comparable
Qwen3-30B-A3B: 29.8 (#82), Wizardlm 13b: —
| Benchmark | Qwen3-30B-A3B | Wizardlm 13b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41.4% | — |
Reasoning Qwen3-30B-A3B leads
Qwen3-30B-A3B: 22.2 (#204), Wizardlm 13b: 19.4 (#259)
| Benchmark | Qwen3-30B-A3B | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1398 | 1018 |
| Kagi LLM Benchmark | 54.9% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | 8% | — |
| DTBench | 69.3% | — |
| LMCA | 22.4% | — |
| Epoch Capabilities Index | 139.63 | — |
Math Qwen3-30B-A3B leads
Qwen3-30B-A3B: 37.4 (#157), Wizardlm 13b: 30.2 (#238)
| Benchmark | Qwen3-30B-A3B | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1394 | 1017 |
| MathArena Final-Answer Competitions | 47.8% | — |
| OTIS Mock AIME 2024-2025 | 70.3% | — |
Knowledge Not comparable
Qwen3-30B-A3B: 41.8 (#105), Wizardlm 13b: —
| Benchmark | Qwen3-30B-A3B | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 70.1% | — |
| Confabulations | 12.3% | — |
| LMArena Expert | 1396 | — |
Multilingual Qwen3-30B-A3B leads
Qwen3-30B-A3B: 49.5 (#132), Wizardlm 13b: 27.1 (#277)
| Benchmark | Qwen3-30B-A3B | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1372 | 1034 |
| LMArena Chinese | 1433 | 1023 |
| LMArena French | 1418 | — |
| LMArena German | 1380 | — |
| LMArena Japanese | 1337 | — |
| LMArena Korean | 1331 | — |
| LMArena Russian | 1370 | — |
| LMArena Spanish | 1404 | — |
Instruction Following Qwen3-30B-A3B leads
Qwen3-30B-A3B: 72.0 (#142), Wizardlm 13b: 53.5 (#285)
| Benchmark | Qwen3-30B-A3B | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1363 | 1048 |
Long Context Too close to call
Qwen3-30B-A3B: 31.0 (#283), Wizardlm 13b: 32.0 (#273)
| Benchmark | Qwen3-30B-A3B | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1379 | 1054 |
| Fiction.LiveBench | 40.6% | — |
Writing & Preference Qwen3-30B-A3B leads
Qwen3-30B-A3B: 55.6 (#143), Wizardlm 13b: 30.5 (#287)
| Benchmark | Qwen3-30B-A3B | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1384 | 1077 |
| LMArena Creative Writing | 1317 | 1091 |
| LMArena Multi-Turn | 1378 | 1047 |
| Short-Story Creative Writing | 75.3% | — |
Frequently asked questions
Is Qwen3-30B-A3B better than Wizardlm 13b?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 31.4 on the Noometry Index.
Is Qwen3-30B-A3B or Wizardlm 13b better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 30.1 in the Noometry coding category.
How many benchmarks do Qwen3-30B-A3B and Wizardlm 13b share?
10 benchmarks have published results for both models. Qwen3-30B-A3B has 32 scored results on Noometry and Wizardlm 13b has 10.