Model comparison
DeepSeek-V2.5 (Sep 2024) vs Qwen3.5 Plus
Qwen3.5 Plus is the stronger model overall, scoring 42.9 to 37.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- The widest gap is in math, where Qwen3.5 Plus leads 49.6 to 35.9.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 37.6 | 42.9 |
| Released | 2024-09-06 | 2026-02-16 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $2.40 |
| Results tracked | 22 | 15 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Qwen3.5 Plus: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 621.92 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2.5 (Sep 2024): —, Qwen3.5 Plus: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus |
|---|---|---|
| Vending-Bench 2 | — | 0.54 |
Reasoning Qwen3.5 Plus leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Qwen3.5 Plus: 32.8 (#74)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus |
|---|---|---|
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1289 | — |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 80.5% |
| LMCA | — | 36.4% |
| Epoch Capabilities Index | — | 146.78 |
Math Qwen3.5 Plus leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Qwen3.5 Plus: 49.6 (#61)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1288 | — |
| FrontierMath (Feb 2025 set) | — | 21% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Qwen3.5 Plus leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Qwen3.5 Plus: 46.0 (#83)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus |
|---|---|---|
| GPQA Diamond | — | 84.8% |
| SimpleQA Verified | — | 25.4% |
| Vectara Hallucination Rate | — | 10.7% |
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Qwen3.5 Plus: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus |
|---|---|---|
| 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), Qwen3.5 Plus: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus |
|---|---|---|
| LMArena Instruction Following | 1280 | — |
Long Context Qwen3.5 Plus leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Qwen3.5 Plus: 43.0 (#113)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus |
|---|---|---|
| CL-bench | — | 19.8% |
| CL-bench Life | — | 12.4% |
| LMArena Longer Query | 1301 | — |
Writing & Preference Not comparable
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Qwen3.5 Plus: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.5 Plus |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Qwen3.5 Plus?
Qwen3.5 Plus is the stronger model overall, scoring 42.9 to 37.6 on the Noometry Index.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Qwen3.5 Plus share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Qwen3.5 Plus has 15.