Model comparison
Qwen3-Next 80B-A3B Instruct vs Wizardlm 13b
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
Summary
- They share 10 benchmarks with published results for both. Qwen3-Next 80B-A3B Instruct scores higher in 7 categories and Wizardlm 13b in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.2 to 30.7.
Side by side
| Qwen3-Next 80B-A3B Instruct | Wizardlm 13b | |
|---|---|---|
| Provider | Alibaba (Qwen) | Microsoft |
| Noometry Index | 42.5 | 30.8 |
| Released | 2025-09 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $2 | — |
| Results tracked | 25 | 10 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 41.9 (#101), Wizardlm 13b: 29.6 (#293)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1441 | 1035 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 30.1 (#79), Wizardlm 13b: 18.5 (#265)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1428 | 1018 |
| Kagi LLM Benchmark | 66.7% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 36.3 (#118), Wizardlm 13b: 27.8 (#235)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1440 | 1017 |
| Omni-MATH | 46.7% | — |
Knowledge Not comparable
Qwen3-Next 80B-A3B Instruct: 41.3 (#102), Wizardlm 13b: —
| Benchmark | Qwen3-Next 80B-A3B Instruct | Wizardlm 13b |
|---|---|---|
| MMLU-Pro | 78.6% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 63% | — |
| LMArena Expert | 1416 | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 52.3 (#88), Wizardlm 13b: 27.3 (#272)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1407 | 1034 |
| LMArena Chinese | 1461 | 1023 |
| LMArena French | 1415 | — |
| LMArena German | 1416 | — |
| LMArena Japanese | 1398 | — |
| LMArena Korean | 1366 | — |
| LMArena Russian | 1403 | — |
| LMArena Spanish | 1436 | — |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 71.0 (#154), Wizardlm 13b: 53.7 (#280)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1388 | 1049 |
| IFEval | 81% | — |
Long Context Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 37.0 (#218), Wizardlm 13b: 32.0 (#268)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1403 | 1054 |
| Fiction.LiveBench | 55.6% | — |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 58.2 (#116), Wizardlm 13b: 30.7 (#282)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1417 | 1077 |
| LMArena Creative Writing | 1333 | 1090 |
| LMArena Multi-Turn | 1415 | 1047 |
| WildBench | 80.7% | — |
Frequently asked questions
Is Qwen3-Next 80B-A3B Instruct better than Wizardlm 13b?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 30.8 on the Noometry Index.
Is Qwen3-Next 80B-A3B Instruct or Wizardlm 13b better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 29.6 in the Noometry coding category.
How many benchmarks do Qwen3-Next 80B-A3B Instruct and Wizardlm 13b share?
10 benchmarks have published results for both models. Qwen3-Next 80B-A3B Instruct has 25 scored results on Noometry and Wizardlm 13b has 10.