Model comparison
Qwen3.7 Max vs Yi-34B
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 27.8 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Qwen3.7 Max 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 Qwen3.7 Max leads 61.6 to 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 90.9% for Qwen3.7 Max and 14.7% for Yi-34B.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Qwen3.7 Max | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 51.5 | 27.8 |
| Released | 2026-05-19 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 33 | 23 |
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Category by category
Coding Qwen3.7 Max leads
Qwen3.7 Max: 50.4 (#45), Yi-34B: 32.3 (#274)
| Benchmark | Qwen3.7 Max | Yi-34B |
|---|---|---|
| LMArena Coding | 1498 | 1112 |
| SWE-bench Verified | 77.3% | — |
| LMArena WebDev | 1515 | — |
| SciCode | 48.8% | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use Not comparable
Qwen3.7 Max: 22.1 (#135), Yi-34B: —
| Benchmark | Qwen3.7 Max | Yi-34B |
|---|---|---|
| GBAEval | 0.4% | — |
Reasoning Qwen3.7 Max leads
Qwen3.7 Max: 49.2 (#38), Yi-34B: 21.2 (#226)
| Benchmark | Qwen3.7 Max | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1104 |
| Epoch Capabilities Index | 153.68 | 117.39 |
| SimpleBench | 70.4% | — |
| NYT Connections (extended) | 85.1% | — |
| CritPt | 13.4% | — |
| Chess Puzzles | 19% | — |
| EBR-Bench | 9.5% | — |
| Mystery Game Puzzles | 32% | — |
| DTBench | 92.3% | — |
| LMCA | 44% | — |
| BIG-Bench Hard | — | 71.7% |
Math Qwen3.7 Max leads
Qwen3.7 Max: 62.4 (#32), Yi-34B: 21.6 (#282)
| Benchmark | Qwen3.7 Max | Yi-34B |
|---|---|---|
| LMArena Math | 1490 | 1114 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 34.1% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen3.7 Max leads
Qwen3.7 Max: 61.6 (#28), Yi-34B: 7.5 (#309)
| Benchmark | Qwen3.7 Max | Yi-34B |
|---|---|---|
| GPQA Diamond | 90.9% | 14.7% |
| LMArena Expert | 1488 | 1061 |
| SimpleQA Verified | 55.8% | — |
| MMLU | — | 76.3% |
Multilingual Qwen3.7 Max leads
Qwen3.7 Max: 56.9 (#15), Yi-34B: 29.7 (#264)
| Benchmark | Qwen3.7 Max | Yi-34B |
|---|---|---|
| LMArena Non-English | 1474 | 1079 |
| LMArena Chinese | 1530 | 1176 |
| LMArena Russian | 1484 | 1050 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |
Instruction Following Qwen3.7 Max leads
Qwen3.7 Max: 76.7 (#38), Yi-34B: 56.2 (#274)
| Benchmark | Qwen3.7 Max | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1460 | 1091 |
Long Context Qwen3.7 Max leads
Qwen3.7 Max: 45.4 (#40), Yi-34B: 33.2 (#264)
| Benchmark | Qwen3.7 Max | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1482 | 1094 |
Writing & Preference Qwen3.7 Max leads
Qwen3.7 Max: 65.0 (#54), Yi-34B: 34.1 (#273)
| Benchmark | Qwen3.7 Max | Yi-34B |
|---|---|---|
| LMArena Text | 1476 | 1129 |
| LMArena Creative Writing | 1449 | 1108 |
| LMArena Multi-Turn | 1481 | 1113 |
| EQ-Bench 4 | 1110 | — |
Frequently asked questions
Is Qwen3.7 Max better than Yi-34B?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 27.8 on the Noometry Index.
Is Qwen3.7 Max or Yi-34B better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 32.3 in the Noometry coding category.
How many benchmarks do Qwen3.7 Max and Yi-34B share?
14 benchmarks have published results for both models. Qwen3.7 Max has 33 scored results on Noometry and Yi-34B has 23.