Model comparison
DeepSeek-V2.5 (Sep 2024) vs Qwen3 Coder Next
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 33.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- The widest gap is in coding, where Qwen3 Coder Next leads 35.8 to 31.3.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Qwen3 Coder Next | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 37.0 | 33.8 |
| Released | 2024-09-06 | 2026-02-02 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 22 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3 Coder Next leads
DeepSeek-V2.5 (Sep 2024): 31.3 (#274), Qwen3 Coder Next: 35.8 (#206)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3 Coder Next |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1310 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 24.5 (#145), Qwen3 Coder Next: 21.7 (#191)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3 Coder Next |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1289 | — |
Math Not comparable
DeepSeek-V2.5 (Sep 2024): 33.3 (#177), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1289 | — |
Knowledge Not comparable
DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3 Coder Next |
|---|---|---|
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1317 | — |
| LMArena French | 1288 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Not comparable
DeepSeek-V2.5 (Sep 2024): 67.7 (#189), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#169), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference Not comparable
DeepSeek-V2.5 (Sep 2024): 50.0 (#182), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Qwen3 Coder Next?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 33.8 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Qwen3 Coder Next better for coding?
Qwen3 Coder Next scores higher on coding benchmarks: 35.8 versus 31.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Qwen3 Coder Next share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Qwen3 Coder Next has 3.