Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Qwen3.7 Max
Qwen3.7 Max has enough public results to be ranked (#42); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 0 categories and Qwen3.7 Max in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Qwen3.7 Max leads 50.4 to 40.4.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 40.3 | 51.5 |
| Released | 2024-05-07 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 10 | 33 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.7 Max leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Qwen3.7 Max: 50.4 (#45)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max |
|---|---|---|
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1498 |
| BigCodeBench Complete | 59.4% | — |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.7 Max: 22.1 (#135)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.7 Max: 49.2 (#38)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 153.68 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| LMArena Hard Prompts | — | 1483 |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.7 Max: 62.4 (#32)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
| LMArena Math | — | 1490 |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.7 Max: 61.6 (#28)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.7 Max: 56.9 (#15)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1530 |
| LMArena Russian | — | 1484 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.7 Max: 76.7 (#38)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | — | 1460 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.7 Max: 45.4 (#40)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1482 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.7 Max: 65.0 (#54)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1449 |
| EQ-Bench 4 | — | 1110 |
| LMArena Multi-Turn | — | 1481 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen3.7 Max?
Qwen3.7 Max has enough public results to be ranked (#42); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 40.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen3.7 Max share?
1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen3.7 Max has 33.