Model comparison
Qwen3.5-9B vs Yi 6B
Qwen3.5-9B has enough public results to be ranked (#236); Yi 6B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both.
Side by side
| Qwen3.5-9B | Yi 6B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 33.8 | — |
| Released | 2026-02-23 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.15 | — |
| Results tracked | 10 | 7 |
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Category by category
Coding Not comparable
Qwen3.5-9B: 35.9 (#217), Yi 6B: —
| Benchmark | Qwen3.5-9B | Yi 6B |
|---|---|---|
| SciCode | 27.5% | — |
Agentic & Tool Use Not comparable
Qwen3.5-9B: 14.5 (#151), Yi 6B: —
| Benchmark | Qwen3.5-9B | Yi 6B |
|---|---|---|
| Terminal-Bench | 9.2% | — |
Reasoning Not comparable
Qwen3.5-9B: 23.1 (#182), Yi 6B: —
| Benchmark | Qwen3.5-9B | Yi 6B |
|---|---|---|
| Epoch Capabilities Index | 139.46 | 104.77 |
| CritPt | 0.3% | — |
| Chess Puzzles | 12% | — |
| DTBench | 71.2% | — |
| LMCA | 24.5% | — |
| BIG-Bench Hard | — | 47.2% |
| HellaSwag | — | 74.4% |
| WinoGrande | — | 71.3% |
Math Not comparable
Qwen3.5-9B: 34.8 (#192), Yi 6B: —
| Benchmark | Qwen3.5-9B | Yi 6B |
|---|---|---|
| MathArena Final-Answer Competitions | 48.5% | — |
| OTIS Mock AIME 2024-2025 | 61.7% | — |
| GSM8K | — | 44.9% |
Knowledge Not comparable
Qwen3.5-9B: 46.0 (#84), Yi 6B: —
| Benchmark | Qwen3.5-9B | Yi 6B |
|---|---|---|
| GPQA Diamond | 79% | — |
| ARC (AI2) Challenge | — | 50.3% |
| MMLU | — | 64% |
Frequently asked questions
Is Qwen3.5-9B better than Yi 6B?
Qwen3.5-9B has enough public results to be ranked (#236); Yi 6B does not yet, so treat this comparison as directional.
How many benchmarks do Qwen3.5-9B and Yi 6B share?
1 benchmark has published results for both models. Qwen3.5-9B has 10 scored results on Noometry and Yi 6B has 7.