Model comparison
DeepSeek-V2.5 (Sep 2024) vs Qwen3.6 35B-A3B
DeepSeek-V2.5 (Sep 2024) and Qwen3.6 35B-A3B score almost the same on the Noometry Index (37.6 vs 37.6), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 34.8.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 37.6 | 37.6 |
| Released | 2024-09-06 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 22 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2.5 (Sep 2024): —, Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| LMArena Hard Prompts | 1289 | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Epoch Capabilities Index | — | 143.93 |
Math Qwen3.6 35B-A3B leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1288 | — |
Knowledge Qwen3.6 35B-A3B leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Qwen3.6 35B-A3B: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1318 | — |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Not comparable
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Qwen3.6 35B-A3B: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Qwen3.6 35B-A3B: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference Not comparable
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Qwen3.6 35B-A3B: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Qwen3.6 35B-A3B?
DeepSeek-V2.5 (Sep 2024) and Qwen3.6 35B-A3B score almost the same on the Noometry Index (37.6 vs 37.6), so choose on price, context window or the category you care about most.
Is DeepSeek-V2.5 (Sep 2024) or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 37.2 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Qwen3.6 35B-A3B share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Qwen3.6 35B-A3B has 14.