Model comparison
DeepSeek-V3.1 vs Qwen3 Coder Next
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 34.3 on the Noometry Index.
Last verified . 1 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. DeepSeek-V3.1 scores higher in 2 categories and Qwen3 Coder Next in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1 leads 27.9 to 22.4.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- Qwen3 Coder Next accepts more context: 262K tokens versus 164K.
Side by side
| DeepSeek-V3.1 | Qwen3 Coder Next | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 42.8 | 34.3 |
| Released | 2025-08-21 | 2026-02-02 |
| Weights | Open | Open |
| Context window | 164K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $0.12 |
| Output $ / M tokens | $0.95 | $0.80 |
| Results tracked | 27 | 3 |
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Category by category
Coding DeepSeek-V3.1 leads
DeepSeek-V3.1: 40.3 (#144), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| WeirdML | 38.4% | 34.4% |
| SciCode | — | 32.3% |
| LMArena Coding | 1417 | — |
Reasoning DeepSeek-V3.1 leads
DeepSeek-V3.1: 27.9 (#110), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1417 | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |
Math Not comparable
DeepSeek-V3.1: 38.9 (#122), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1420 | — |
Knowledge Not comparable
DeepSeek-V3.1: 43.7 (#90), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | — |
| LMArena Expert | 1405 | — |
Multilingual Not comparable
DeepSeek-V3.1: 51.6 (#106), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1400 | — |
| LMArena Chinese | 1469 | — |
| LMArena French | 1447 | — |
| LMArena German | 1411 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1337 | — |
| LMArena Russian | 1405 | — |
| LMArena Spanish | 1431 | — |
Instruction Following Not comparable
DeepSeek-V3.1: 73.9 (#110), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1400 | — |
Long Context Not comparable
DeepSeek-V3.1: 36.3 (#232), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| Fiction.LiveBench | 52.8% | — |
| LMArena Longer Query | 1422 | — |
Writing & Preference Not comparable
DeepSeek-V3.1: 60.3 (#98), Qwen3 Coder Next: —
| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1420 | — |
| LMArena Creative Writing | 1401 | — |
| EQ-Bench Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1408 | — |
Frequently asked questions
Is DeepSeek-V3.1 better than Qwen3 Coder Next?
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 34.3 on the Noometry Index.
Which is cheaper, DeepSeek-V3.1 or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; DeepSeek-V3.1 lists at $0.25 and $0.95.
Is DeepSeek-V3.1 or Qwen3 Coder Next better for coding?
DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 36.3 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Coder Next does, with 262K tokens against 164K.
How many benchmarks do DeepSeek-V3.1 and Qwen3 Coder Next share?
1 benchmark has published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Qwen3 Coder Next has 3.