Model comparison
Qwen3-Next 80B-A3B Instruct vs Yi-34B
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 27.8 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Qwen3-Next 80B-A3B Instruct 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-Next 80B-A3B Instruct leads 41.8 to 7.5.
Side by side
| Qwen3-Next 80B-A3B Instruct | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 43.0 | 27.8 |
| Released | 2025-09 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $2 | — |
| Results tracked | 25 | 23 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 42.5 (#98), Yi-34B: 32.3 (#274)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-34B |
|---|---|---|
| LMArena Coding | 1440 | 1112 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 31.1 (#81), Yi-34B: 21.2 (#226)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1428 | 1104 |
| Kagi LLM Benchmark | 66.7% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 38.8 (#126), Yi-34B: 21.6 (#282)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-34B |
|---|---|---|
| LMArena Math | 1440 | 1114 |
| Omni-MATH | 46.7% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 41.8 (#106), Yi-34B: 7.5 (#309)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-34B |
|---|---|---|
| LMArena Expert | 1417 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU-Pro | 78.6% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 63% | — |
| MMLU | — | 76.3% |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 52.1 (#93), Yi-34B: 29.7 (#264)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-34B |
|---|---|---|
| LMArena Non-English | 1407 | 1079 |
| LMArena Chinese | 1460 | 1176 |
| LMArena French | 1413 | 1081 |
| LMArena German | 1417 | 1042 |
| LMArena Japanese | 1395 | 993 |
| LMArena Korean | 1364 | 959 |
| LMArena Russian | 1404 | 1050 |
| LMArena Spanish | 1435 | 1070 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 70.8 (#159), Yi-34B: 56.2 (#274)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1389 | 1091 |
| IFEval | 81% | — |
Long Context Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 37.0 (#223), Yi-34B: 33.2 (#264)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1403 | 1094 |
| Fiction.LiveBench | 55.6% | — |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 58.0 (#121), Yi-34B: 34.1 (#273)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-34B |
|---|---|---|
| LMArena Text | 1417 | 1129 |
| LMArena Creative Writing | 1334 | 1108 |
| LMArena Multi-Turn | 1416 | 1113 |
| WildBench | 80.7% | — |
Frequently asked questions
Is Qwen3-Next 80B-A3B Instruct better than Yi-34B?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 27.8 on the Noometry Index.
Is Qwen3-Next 80B-A3B Instruct or Yi-34B better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 32.3 in the Noometry coding category.
How many benchmarks do Qwen3-Next 80B-A3B Instruct and Yi-34B share?
17 benchmarks have published results for both models. Qwen3-Next 80B-A3B Instruct has 25 scored results on Noometry and Yi-34B has 23.