Model comparison
Qwen3.5 27B vs Yi-34B
Qwen3.5 27B is the stronger model overall, scoring 41.4 to 27.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Qwen3.5 27B scores higher in 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 27B leads 37.4 to 7.5.
Side by side
| Qwen3.5 27B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 41.4 | 27.4 |
| Released | 2026-02-23 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $2.40 | — |
| Results tracked | 28 | 23 |
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Category by category
Coding Qwen3.5 27B leads
Qwen3.5 27B: 38.6 (#159), Yi-34B: 31.8 (#269)
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| LMArena Coding | 1427 | 1112 |
| LMArena WebDev | 1357 | — |
| WeirdML | 39.5% | — |
| ALE-Bench | 349.45 | — |
Agentic & Tool Use Not comparable
Qwen3.5 27B: —, Yi-34B: —
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| Vending-Bench 2 | 201.98 | — |
Reasoning Qwen3.5 27B leads
Qwen3.5 27B: 26.6 (#116), Yi-34B: 20.3 (#222)
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1414 | 1104 |
| NYT Connections (extended) | 47.9% | — |
| Thematic Generalization | 45.5% | — |
| DTBench | 82.4% | — |
| LMCA | 34% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.28 |
Math Qwen3.5 27B leads
Qwen3.5 27B: 36.8 (#103), Yi-34B: 19.8 (#277)
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| LMArena Math | 1428 | 1114 |
| MathArena Final-Answer Competitions | 56.7% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen3.5 27B leads
Qwen3.5 27B: 37.4 (#149), Yi-34B: 7.5 (#304)
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| LMArena Expert | 1428 | 1061 |
| GPQA Diamond | — | 14.7% |
| Vectara Hallucination Rate | 12.1% | — |
| MMLU | — | 76.3% |
Multimodal Not comparable
Qwen3.5 27B: 38.7 (#56), Yi-34B: —
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| LMArena Vision | 1240 | — |
Multilingual Qwen3.5 27B leads
Qwen3.5 27B: 51.0 (#112), Yi-34B: 29.9 (#259)
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1390 | 1079 |
| LMArena Chinese | 1478 | 1175 |
| LMArena French | 1409 | 1080 |
| LMArena German | 1393 | 1042 |
| LMArena Japanese | 1345 | 993 |
| LMArena Korean | 1359 | 959 |
| LMArena Russian | 1389 | 1050 |
| LMArena Spanish | 1408 | 1070 |
Instruction Following Qwen3.5 27B leads
Qwen3.5 27B: 73.7 (#114), Yi-34B: 56.4 (#269)
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1393 | 1091 |
Long Context Qwen3.5 27B leads
Qwen3.5 27B: 43.1 (#103), Yi-34B: 33.2 (#259)
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1413 | 1094 |
Writing & Preference Qwen3.5 27B leads
Qwen3.5 27B: 59.5 (#106), Yi-34B: 34.3 (#268)
| Benchmark | Qwen3.5 27B | Yi-34B |
|---|---|---|
| LMArena Text | 1409 | 1129 |
| LMArena Creative Writing | 1362 | 1108 |
| LMArena Multi-Turn | 1410 | 1113 |
Frequently asked questions
Is Qwen3.5 27B better than Yi-34B?
Qwen3.5 27B is the stronger model overall, scoring 41.4 to 27.4 on the Noometry Index.
Is Qwen3.5 27B or Yi-34B better for coding?
Qwen3.5 27B scores higher on coding benchmarks: 38.6 versus 31.8 in the Noometry coding category.
How many benchmarks do Qwen3.5 27B and Yi-34B share?
17 benchmarks have published results for both models. Qwen3.5 27B has 28 scored results on Noometry and Yi-34B has 23.