Model comparison
Qwen3.6 27B vs Yi-34B
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 27.4 on the Noometry Index.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Qwen3.6 27B scores higher in 5 categories and Yi-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 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 85.9% for Qwen3.6 27B and 14.7% for Yi-34B.
Side by side
| Qwen3.6 27B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 41.9 | 27.4 |
| Released | 2026-04-22 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $3.60 | — |
| Results tracked | 11 | 23 |
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Category by category
Coding Qwen3.6 27B leads
Qwen3.6 27B: 38.5 (#162), Yi-34B: 31.8 (#269)
| Benchmark | Qwen3.6 27B | Yi-34B |
|---|---|---|
| SciCode | 37.3% | — |
| LMArena Coding | — | 1112 |
Reasoning Qwen3.6 27B leads
Qwen3.6 27B: 24.4 (#148), Yi-34B: 20.3 (#222)
| Benchmark | Qwen3.6 27B | Yi-34B |
|---|---|---|
| Epoch Capabilities Index | 146.47 | 117.28 |
| CritPt | 0.9% | — |
| Chess Puzzles | 22% | — |
| LMArena Hard Prompts | — | 1104 |
| Mystery Game Puzzles | 7% | — |
| DTBench | 78.1% | — |
| LMCA | 34.5% | — |
| BIG-Bench Hard | — | 71.7% |
Math Qwen3.6 27B leads
Qwen3.6 27B: 47.5 (#56), Yi-34B: 19.8 (#277)
| Benchmark | Qwen3.6 27B | Yi-34B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 35.1% | — |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen3.6 27B leads
Qwen3.6 27B: 52.4 (#58), Yi-34B: 7.5 (#304)
| Benchmark | Qwen3.6 27B | Yi-34B |
|---|---|---|
| GPQA Diamond | 85.9% | 14.7% |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |
Multilingual Not comparable
Qwen3.6 27B: —, Yi-34B: 29.9 (#259)
| Benchmark | Qwen3.6 27B | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1175 |
| LMArena French | — | 1080 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Not comparable
Qwen3.6 27B: —, Yi-34B: 56.4 (#269)
| Benchmark | Qwen3.6 27B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
Qwen3.6 27B: —, Yi-34B: 33.2 (#259)
| Benchmark | Qwen3.6 27B | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Qwen3.6 27B leads
Qwen3.6 27B: 50.3 (#180), Yi-34B: 34.3 (#268)
| Benchmark | Qwen3.6 27B | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| EQ-Bench 4 | 1026 | — |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is Qwen3.6 27B better than Yi-34B?
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 27.4 on the Noometry Index.
Is Qwen3.6 27B or Yi-34B better for coding?
Qwen3.6 27B scores higher on coding benchmarks: 38.5 versus 31.8 in the Noometry coding category.
How many benchmarks do Qwen3.6 27B and Yi-34B share?
2 benchmarks have published results for both models. Qwen3.6 27B has 11 scored results on Noometry and Yi-34B has 23.