Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Qwen3.8 Max
Qwen3.8 Max has enough public results to be ranked (#22); 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 Qwen3.8 Max in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Qwen3.8 Max leads 53.5 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) | Qwen3.8 Max | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 40.3 | 56.8 |
| Released | 2024-05-07 | 2026-08-02 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 10 | 39 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.8 Max leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Qwen3.8 Max: 53.5 (#29)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1502 |
| BigCodeBench Complete | 59.4% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.8 Max: 45.4 (#14)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.8 Max: 54.4 (#26)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 156.41 |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| LMArena Hard Prompts | — | 1496 |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.8 Max: 73.2 (#20)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
| LMArena Math | — | 1499 |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.8 Max: 61.7 (#27)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
| LMArena Expert | — | 1507 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.8 Max: 37.2 (#75)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.8 Max: 56.7 (#18)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | — | 1472 |
| LMArena Chinese | — | 1538 |
| LMArena French | — | 1503 |
| LMArena German | — | 1483 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |
| LMArena Russian | — | 1481 |
| LMArena Spanish | — | 1492 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.8 Max: 77.6 (#17)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | — | 1479 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.8 Max: 45.6 (#31)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | — | 1489 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.8 Max: 67.1 (#30)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.8 Max |
|---|---|---|
| LMArena Text | — | 1483 |
| LMArena Creative Writing | — | 1479 |
| LMArena Multi-Turn | — | 1489 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen3.8 Max?
Qwen3.8 Max has enough public results to be ranked (#22); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 40.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen3.8 Max share?
1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen3.8 Max has 39.