Model comparison
Qwen3.6 27B vs Yi-1.5-34B
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 30.6 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Qwen3.6 27B scores higher in 5 categories and Yi-1.5-34B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 85.9% for Qwen3.6 27B and 32% for Yi-1.5-34B.
Side by side
| Qwen3.6 27B | Yi-1.5-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 42.2 | 30.6 |
| Released | 2026-04-22 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $3.60 | — |
| Results tracked | 11 | 21 |
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Category by category
Coding Qwen3.6 27B leads
Qwen3.6 27B: 39.1 (#163), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Qwen3.6 27B | Yi-1.5-34B |
|---|---|---|
| SciCode | 37.3% | — |
| BigCodeBench Instruct | — | 33.9% |
| LMArena Coding | — | 1169 |
| BigCodeBench Complete | — | 43.8% |
Reasoning Qwen3.6 27B leads
Qwen3.6 27B: 25.0 (#153), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Qwen3.6 27B | Yi-1.5-34B |
|---|---|---|
| CritPt | 0.9% | — |
| Chess Puzzles | 22% | — |
| LMArena Hard Prompts | — | 1160 |
| Mystery Game Puzzles | 7% | — |
| DTBench | 78.1% | — |
| LMCA | 34.5% | — |
| Epoch Capabilities Index | 146.5 | — |
Math Qwen3.6 27B leads
Qwen3.6 27B: 48.5 (#62), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Qwen3.6 27B | Yi-1.5-34B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 35.1% | — |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Qwen3.6 27B leads
Qwen3.6 27B: 52.4 (#63), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Qwen3.6 27B | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 85.9% | 32% |
| LMArena Expert | — | 1144 |
Multilingual Not comparable
Qwen3.6 27B: —, Yi-1.5-34B: 32.3 (#256)
| Benchmark | Qwen3.6 27B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1121 |
Instruction Following Not comparable
Qwen3.6 27B: —, Yi-1.5-34B: 59.2 (#257)
| Benchmark | Qwen3.6 27B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |
Long Context Not comparable
Qwen3.6 27B: —, Yi-1.5-34B: 34.6 (#248)
| Benchmark | Qwen3.6 27B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1143 |
Writing & Preference Qwen3.6 27B leads
Qwen3.6 27B: 50.3 (#181), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Qwen3.6 27B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| EQ-Bench 4 | 1026 | — |
| LMArena Multi-Turn | — | 1153 |
Frequently asked questions
Is Qwen3.6 27B better than Yi-1.5-34B?
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 30.6 on the Noometry Index.
Is Qwen3.6 27B or Yi-1.5-34B better for coding?
Qwen3.6 27B scores higher on coding benchmarks: 39.1 versus 32.4 in the Noometry coding category.
How many benchmarks do Qwen3.6 27B and Yi-1.5-34B share?
1 benchmark has published results for both models. Qwen3.6 27B has 11 scored results on Noometry and Yi-1.5-34B has 21.