Model comparison
Qwen1.5 4b Chat vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 28.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 26.7.
Side by side
| Qwen1.5 4b Chat | Qwen3.5-9B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 28.8 | 33.8 |
| Released | — | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 13 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Qwen1.5 4b Chat: 29.1 (#308), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Qwen1.5 4b Chat | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 999 | — |
Agentic & Tool Use Not comparable
Qwen1.5 4b Chat: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Qwen1.5 4b Chat | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Qwen1.5 4b Chat: 18.5 (#279), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Qwen1.5 4b Chat | Qwen3.5-9B |
|---|---|---|
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 976 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
Math Qwen3.5-9B leads
Qwen1.5 4b Chat: 30.4 (#234), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Qwen1.5 4b Chat | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1026 | — |
Knowledge Qwen3.5-9B leads
Qwen1.5 4b Chat: 26.7 (#255), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Qwen1.5 4b Chat | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 980 | — |
Multilingual Not comparable
Qwen1.5 4b Chat: 24.1 (#290), Qwen3.5-9B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 979 | — |
| LMArena Chinese | 1024 | — |
| LMArena German | 902 | — |
| LMArena Russian | 952 | — |
Instruction Following Not comparable
Qwen1.5 4b Chat: 49.0 (#300), Qwen3.5-9B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 978 | — |
Long Context Not comparable
Qwen1.5 4b Chat: 30.1 (#290), Qwen3.5-9B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 988 | — |
Writing & Preference Not comparable
Qwen1.5 4b Chat: 23.8 (#309), Qwen3.5-9B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 997 | — |
| LMArena Creative Writing | 969 | — |
| LMArena Multi-Turn | 977 | — |
Frequently asked questions
Is Qwen1.5 4b Chat better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 28.8 on the Noometry Index.
Is Qwen1.5 4b Chat or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 29.1 in the Noometry coding category.
How many benchmarks do Qwen1.5 4b Chat and Qwen3.5-9B share?
0 benchmarks have published results for both models. Qwen1.5 4b Chat has 13 scored results on Noometry and Qwen3.5-9B has 10.