Model comparison
Qwen3-VL 235B-A22B vs Yi-34B
Qwen3-VL 235B-A22B is the stronger model overall, scoring 42.5 to 27.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Qwen3-VL 235B-A22B 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-VL 235B-A22B leads 39.6 to 7.5.
Side by side
| Qwen3-VL 235B-A22B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 42.5 | 27.4 |
| Released | 2025-04 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.70 | — |
| Output $ / M tokens | $2.80 | — |
| Results tracked | 18 | 23 |
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Category by category
Coding Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 41.8 (#103), Yi-34B: 31.8 (#269)
| Benchmark | Qwen3-VL 235B-A22B | Yi-34B |
|---|---|---|
| LMArena Coding | 1438 | 1112 |
Reasoning Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 28.1 (#92), Yi-34B: 20.3 (#222)
| Benchmark | Qwen3-VL 235B-A22B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1428 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.28 |
Math Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 36.2 (#120), Yi-34B: 19.8 (#277)
| Benchmark | Qwen3-VL 235B-A22B | Yi-34B |
|---|---|---|
| LMArena Math | 1426 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 39.6 (#120), Yi-34B: 7.5 (#304)
| Benchmark | Qwen3-VL 235B-A22B | Yi-34B |
|---|---|---|
| LMArena Expert | 1440 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multimodal Not comparable
Qwen3-VL 235B-A22B: 39.1 (#50), Yi-34B: —
| Benchmark | Qwen3-VL 235B-A22B | Yi-34B |
|---|---|---|
| LMArena Vision | 1247 | — |
Multilingual Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 52.1 (#92), Yi-34B: 29.9 (#259)
| Benchmark | Qwen3-VL 235B-A22B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1405 | 1079 |
| LMArena Chinese | 1462 | 1175 |
| LMArena French | 1448 | 1080 |
| LMArena German | 1424 | 1042 |
| LMArena Japanese | 1385 | 993 |
| LMArena Korean | 1395 | 959 |
| LMArena Russian | 1409 | 1050 |
| LMArena Spanish | 1427 | 1070 |
Instruction Following Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 74.4 (#95), Yi-34B: 56.4 (#269)
| Benchmark | Qwen3-VL 235B-A22B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1407 | 1091 |
Long Context Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 43.4 (#93), Yi-34B: 33.2 (#259)
| Benchmark | Qwen3-VL 235B-A22B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1420 | 1094 |
Writing & Preference Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 60.4 (#94), Yi-34B: 34.3 (#268)
| Benchmark | Qwen3-VL 235B-A22B | Yi-34B |
|---|---|---|
| LMArena Text | 1420 | 1129 |
| LMArena Creative Writing | 1367 | 1108 |
| LMArena Multi-Turn | 1428 | 1113 |
Frequently asked questions
Is Qwen3-VL 235B-A22B better than Yi-34B?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 42.5 to 27.4 on the Noometry Index.
Is Qwen3-VL 235B-A22B or Yi-34B better for coding?
Qwen3-VL 235B-A22B scores higher on coding benchmarks: 41.8 versus 31.8 in the Noometry coding category.
How many benchmarks do Qwen3-VL 235B-A22B and Yi-34B share?
17 benchmarks have published results for both models. Qwen3-VL 235B-A22B has 18 scored results on Noometry and Yi-34B has 23.