Model comparison
DeepSeek-V2.5 (Sep 2024) vs Qwen3.6 Flash
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 37.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where Qwen3.6 Flash leads 42.1 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 Flash | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 37.6 | 38.8 |
| Released | 2024-09-06 | 2026-04-27 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $1.13 |
| Results tracked | 22 | 13 |
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Category by category
Coding Not comparable
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Qwen3.6 Flash: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Flash |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 326.4 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning Qwen3.6 Flash leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Flash |
|---|---|---|
| SimpleBench | — | 35.2% |
| Chess Puzzles | — | 20% |
| LMArena Hard Prompts | 1289 | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 77.1% |
| LMCA | — | 31% |
| Epoch Capabilities Index | — | 143.26 |
Math Qwen3.6 Flash leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Qwen3.6 Flash: 39.0 (#117)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 22.5% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| LMArena Math | 1288 | — |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.6 Flash leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Qwen3.6 Flash: 42.1 (#100)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 15.9% |
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Qwen3.6 Flash: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Flash |
|---|---|---|
| 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 Flash: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Flash |
|---|---|---|
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Qwen3.6 Flash: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Flash |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference Not comparable
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Qwen3.6 Flash: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.6 Flash |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Qwen3.6 Flash?
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 37.6 on the Noometry Index.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Qwen3.6 Flash share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Qwen3.6 Flash has 13.