Model comparison
DeepSeek-V2.5 (Sep 2024) vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 37.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Qwen3.6 Plus in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 34.8.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 37.6 | 47.5 |
| Released | 2024-09-06 | 2026-03-31 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $3 |
| Results tracked | 22 | 37 |
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Category by category
Coding Qwen3.6 Plus leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus |
|---|---|---|
| LMArena Coding | 1309 | 1467 |
| SWE-bench Verified | — | 57.9% |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1461 |
| SciCode | — | 40.7% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 670.15 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2.5 (Sep 2024): —, Qwen3.6 Plus: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning Qwen3.6 Plus leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1449 |
| NYT Connections (extended) | — | 60.3% |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 17% |
| Thematic Generalization | — | 59.5% |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 81.9% |
| LMCA | — | 33.1% |
| Epoch Capabilities Index | — | 147.65 |
Math Qwen3.6 Plus leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus |
|---|---|---|
| LMArena Math | 1288 | 1450 |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge Qwen3.6 Plus leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus |
|---|---|---|
| LMArena Expert | 1266 | 1454 |
| GPQA Diamond | — | 88.4% |
| SimpleQA Verified | — | 44.1% |
Multilingual Qwen3.6 Plus leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1273 | 1424 |
| LMArena Chinese | 1318 | 1477 |
| LMArena French | 1289 | 1455 |
| LMArena German | 1258 | 1452 |
| LMArena Japanese | 1228 | 1389 |
| LMArena Korean | 1209 | 1379 |
| LMArena Russian | 1289 | 1434 |
| LMArena Spanish | 1248 | 1432 |
Instruction Following Qwen3.6 Plus leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1280 | 1425 |
Long Context Qwen3.6 Plus leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1301 | 1439 |
| CL-bench | — | 20.3% |
Writing & Preference Qwen3.6 Plus leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1294 | 1437 |
| LMArena Creative Writing | 1285 | 1404 |
| LMArena Multi-Turn | 1297 | 1438 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Qwen3.6 Plus better for coding?
Qwen3.6 Plus scores higher on coding benchmarks: 40.8 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Qwen3.6 Plus share?
17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Qwen3.6 Plus has 37.