# DeepSeek-V3.1 vs Qwen3 Coder Next

> DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 33.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-qwen3-coder-next
- Last updated: 2026-10-10
- Shared benchmarks: 1

## 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 27.3 to 21.7.
- 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.

## Snapshot

| | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 42.2 | 33.8 |
| Rank | 106 | 229 |
| Context | 164K | 262K |
| Input $/M | $0.25 | $0.12 |
| Output $/M | $0.95 | $0.80 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 39.8 (#140)
- Qwen3 Coder Next: 35.8 (#206)

| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| WeirdML | 38.4% | 34.4% |
| SciCode | — | 32.3% |
| LMArena Coding | 1417 | — |

## Reasoning

- DeepSeek-V3.1: 27.3 (#109)
- Qwen3 Coder Next: 21.7 (#191)

| 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

- DeepSeek-V3.1: 36.1 (#125)
- Qwen3 Coder Next: —

| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1420 | — |

## Knowledge

- DeepSeek-V3.1: 43.0 (#86)
- Qwen3 Coder Next: —

| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | — |
| LMArena Expert | 1403 | — |

## Multilingual

- DeepSeek-V3.1: 51.8 (#100)
- Qwen3 Coder Next: —

| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1400 | — |
| LMArena Chinese | 1470 | — |
| LMArena French | 1447 | — |
| LMArena German | 1412 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1337 | — |
| LMArena Russian | 1405 | — |
| LMArena Spanish | 1429 | — |

## Instruction Following

- DeepSeek-V3.1: 74.1 (#105)
- Qwen3 Coder Next: —

| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1400 | — |

## Long Context

- DeepSeek-V3.1: 36.3 (#227)
- Qwen3 Coder Next: —

| Benchmark | DeepSeek-V3.1 | Qwen3 Coder Next |
|---|---|---|
| Fiction.LiveBench | 52.8% | — |
| LMArena Longer Query | 1422 | — |

## Writing & Preference

- DeepSeek-V3.1: 60.5 (#93)
- 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 | — |

## FAQ

### Is DeepSeek-V3.1 better than Qwen3 Coder Next?

DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 33.8 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: 39.8 versus 35.8 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.