Model comparison
Qwen3.6 35B-A3B vs Wizardlm 70b
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.2 to 32.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)
MicrosoftSummary
- The widest gap is in math, where Qwen3.6 35B-A3B leads 37.9 to 29.7.
Side by side
| Qwen3.6 35B-A3B | Wizardlm 70b | |
|---|---|---|
| Provider | Alibaba (Qwen) | Microsoft |
| Noometry Index | 37.2 | 32.4 |
| Released | 2026-04-01 | — |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $1.49 | — |
| Results tracked | 14 | 12 |
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Category by category
Coding Qwen3.6 35B-A3B leads
Qwen3.6 35B-A3B: 36.7 (#190), Wizardlm 70b: 30.9 (#280)
| Benchmark | Qwen3.6 35B-A3B | Wizardlm 70b |
|---|---|---|
| SciCode | 35.8% | — |
| WeirdML | 34.5% | — |
| LMArena Coding | — | 1081 |
Agentic & Tool Use Not comparable
Qwen3.6 35B-A3B: 21.9 (#126), Wizardlm 70b: —
| Benchmark | Qwen3.6 35B-A3B | Wizardlm 70b |
|---|---|---|
| Terminal-Bench | 23% | — |
Reasoning Qwen3.6 35B-A3B leads
Qwen3.6 35B-A3B: 27.2 (#112), Wizardlm 70b: 19.8 (#231)
| Benchmark | Qwen3.6 35B-A3B | Wizardlm 70b |
|---|---|---|
| NYT Connections (extended) | 41.6% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | 26% | — |
| LMArena Hard Prompts | — | 1079 |
| Mystery Game Puzzles | 22% | — |
| DTBench | 73.9% | — |
| LMCA | 29.7% | — |
| Surface Evolver Bench | 44.4% | — |
| Epoch Capabilities Index | 143.92 | — |
Math Qwen3.6 35B-A3B leads
Qwen3.6 35B-A3B: 37.9 (#90), Wizardlm 70b: 29.7 (#216)
| Benchmark | Qwen3.6 35B-A3B | Wizardlm 70b |
|---|---|---|
| FrontierMath (Tiers 1-3) | 20.4% | — |
| OTIS Mock AIME 2024-2025 | 86.7% | — |
| LMArena Math | — | 1116 |
Knowledge Not comparable
Qwen3.6 35B-A3B: 51.4 (#63), Wizardlm 70b: —
| Benchmark | Qwen3.6 35B-A3B | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 84.8% | — |
Multilingual Not comparable
Qwen3.6 35B-A3B: —, Wizardlm 70b: 29.8 (#260)
| Benchmark | Qwen3.6 35B-A3B | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | — | 1078 |
| LMArena Chinese | — | 1052 |
| LMArena German | — | 1083 |
| LMArena Russian | — | 1155 |
Instruction Following Not comparable
Qwen3.6 35B-A3B: —, Wizardlm 70b: 56.5 (#268)
| Benchmark | Qwen3.6 35B-A3B | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | — | 1093 |
Long Context Not comparable
Qwen3.6 35B-A3B: —, Wizardlm 70b: 33.3 (#258)
| Benchmark | Qwen3.6 35B-A3B | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | — | 1097 |
Writing & Preference Not comparable
Qwen3.6 35B-A3B: —, Wizardlm 70b: 34.9 (#264)
| Benchmark | Qwen3.6 35B-A3B | Wizardlm 70b |
|---|---|---|
| LMArena Text | — | 1120 |
| LMArena Creative Writing | — | 1149 |
| LMArena Multi-Turn | — | 1108 |
Frequently asked questions
Is Qwen3.6 35B-A3B better than Wizardlm 70b?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.2 to 32.4 on the Noometry Index.
Is Qwen3.6 35B-A3B or Wizardlm 70b better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 36.7 versus 30.9 in the Noometry coding category.
How many benchmarks do Qwen3.6 35B-A3B and Wizardlm 70b share?
0 benchmarks have published results for both models. Qwen3.6 35B-A3B has 14 scored results on Noometry and Wizardlm 70b has 12.