# DeepSeek-V3.1 vs Qwen3-Coder 480B-A35B Instruct

> DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Qwen3-Coder 480B-A35B Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V3.1 leads 43.0 to 36.4.
- DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 164K.

## Snapshot

| | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 42.2 | 37.7 |
| Rank | 106 | 186 |
| Context | 164K | 262K |
| Input $/M | $0.25 | $1.50 |
| Output $/M | $0.95 | $7.50 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 39.8 (#140)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 38.4% | 41.2% |
| LMArena Coding | 1417 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- DeepSeek-V3.1: —
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |

## Reasoning

- DeepSeek-V3.1: 27.3 (#109)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | 49.5% |
| LMArena Hard Prompts | 1417 | 1372 |
| SimpleBench | 40% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 36.1 (#125)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1420 | 1364 |

## Knowledge

- DeepSeek-V3.1: 43.0 (#86)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1403 | 1337 |
| Vectara Hallucination Rate | 5.5% | — |

## Multilingual

- DeepSeek-V3.1: 51.8 (#100)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1400 | 1345 |
| LMArena Chinese | 1470 | 1356 |
| LMArena French | 1447 | 1394 |
| LMArena German | 1412 | 1324 |
| LMArena Japanese | 1374 | 1309 |
| LMArena Korean | 1337 | 1307 |
| LMArena Russian | 1405 | 1367 |
| LMArena Spanish | 1429 | 1360 |

## Instruction Following

- DeepSeek-V3.1: 74.1 (#105)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1400 | 1356 |

## Long Context

- DeepSeek-V3.1: 36.3 (#227)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1422 | 1379 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.5 (#93)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | DeepSeek-V3.1 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1420 | 1356 |
| LMArena Creative Writing | 1401 | 1333 |
| LMArena Multi-Turn | 1408 | 1365 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than Qwen3-Coder 480B-A35B Instruct?

DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 37.7 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.1 or Qwen3-Coder 480B-A35B Instruct?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

### Is DeepSeek-V3.1 or Qwen3-Coder 480B-A35B Instruct better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 39.8 versus 36.2 in the Noometry coding category.

### Which has the bigger context window?

Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 164K.

### How many benchmarks do DeepSeek-V3.1 and Qwen3-Coder 480B-A35B Instruct share?

19 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.