Model comparison
Qwen1.5 4b Chat vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 28.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 26.7.
Side by side
| Qwen1.5 4b Chat | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 28.8 | 37.6 |
| 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 | 13 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
Qwen1.5 4b Chat: 29.1 (#308), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | Qwen1.5 4b Chat | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| LMArena Coding | 999 | — |
Agentic & Tool Use Not comparable
Qwen1.5 4b Chat: —, Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | Qwen1.5 4b Chat | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
Qwen1.5 4b Chat: 18.5 (#279), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | Qwen1.5 4b Chat | Qwen3.6 35B-A3B |
|---|---|---|
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| LMArena Hard Prompts | 976 | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Epoch Capabilities Index | — | 143.93 |
Math Qwen3.6 35B-A3B leads
Qwen1.5 4b Chat: 30.4 (#234), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | Qwen1.5 4b Chat | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1026 | — |
Knowledge Qwen3.6 35B-A3B leads
Qwen1.5 4b Chat: 26.7 (#255), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | Qwen1.5 4b Chat | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
| LMArena Expert | 980 | — |
Multilingual Not comparable
Qwen1.5 4b Chat: 24.1 (#290), Qwen3.6 35B-A3B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 979 | — |
| LMArena Chinese | 1024 | — |
| LMArena German | 902 | — |
| LMArena Russian | 952 | — |
Instruction Following Not comparable
Qwen1.5 4b Chat: 49.0 (#300), Qwen3.6 35B-A3B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 978 | — |
Long Context Not comparable
Qwen1.5 4b Chat: 30.1 (#290), Qwen3.6 35B-A3B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 988 | — |
Writing & Preference Not comparable
Qwen1.5 4b Chat: 23.8 (#309), Qwen3.6 35B-A3B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 997 | — |
| LMArena Creative Writing | 969 | — |
| LMArena Multi-Turn | 977 | — |
Frequently asked questions
Is Qwen1.5 4b Chat better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 28.8 on the Noometry Index.
Is Qwen1.5 4b Chat or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 37.2 versus 29.1 in the Noometry coding category.
How many benchmarks do Qwen1.5 4b Chat and Qwen3.6 35B-A3B share?
0 benchmarks have published results for both models. Qwen1.5 4b Chat has 13 scored results on Noometry and Qwen3.6 35B-A3B has 14.