# DeepSeek V4 Pro vs Qwen3-Coder 480B-A35B Instruct

> DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 38.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-pro-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.5 to 25.5.
- The biggest single-benchmark swing is WeirdML: 66.2% for DeepSeek V4 Pro and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- DeepSeek V4 Pro is cheaper at $0.66 / $1.98 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 262K.

## Snapshot

| | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 54.3 | 38.1 |
| Rank | 31 | 190 |
| Context | 1M | 262K |
| Input $/M | $0.66 | $1.50 |
| Output $/M | $1.98 | $7.50 |
| Weights | Open | Open |

## Coding

- DeepSeek V4 Pro: 52.4 (#34)
- Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)

| Benchmark | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1582 | 1275 |
| WeirdML | 66.2% | 41.2% |
| LMArena Coding | 1470 | 1412 |
| ALE-Bench | 1,403 | 461.45 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| SWE-bench Verified (bash only) | — | 55.4% |
| SciCode | 51% | — |
| GSO | — | 4.9% |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- DeepSeek V4 Pro: 32.8 (#58)
- Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)

| Benchmark | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |

## Reasoning

- DeepSeek V4 Pro: 56.5 (#24)
- Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)

| Benchmark | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 53.5% | 49.5% |
| LMArena Hard Prompts | 1461 | 1372 |
| ARC-AGI-2 | 61.3% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | 18% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.31 | — |
| ForecastBench | 56.1 | — |

## Math

- DeepSeek V4 Pro: 64.8 (#30)
- Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)

| Benchmark | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1455 | 1365 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| OTIS Mock AIME 2024-2025 | 98.6% | — |
| ProofBench | 50% | — |

## Knowledge

- DeepSeek V4 Pro: 59.5 (#31)
- Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)

| Benchmark | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1464 | 1338 |
| GPQA Diamond | 91.7% | — |
| SimpleQA Verified | 52.9% | — |
| Vectara Hallucination Rate | 8.6% | — |

## Multilingual

- DeepSeek V4 Pro: 54.4 (#45)
- Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)

| Benchmark | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1439 | 1346 |
| LMArena Chinese | 1486 | 1357 |
| LMArena French | 1472 | 1398 |
| LMArena German | 1458 | 1325 |
| LMArena Japanese | 1445 | 1310 |
| LMArena Korean | 1447 | 1305 |
| LMArena Russian | 1453 | 1366 |
| LMArena Spanish | 1458 | 1360 |

## Instruction Following

- DeepSeek V4 Pro: 76.1 (#47)
- Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)

| Benchmark | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1448 | 1355 |

## Long Context

- DeepSeek V4 Pro: 45.0 (#51)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)

| Benchmark | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1458 | 1378 |
| CL-bench Life | 13.5% | — |

## Writing & Preference

- DeepSeek V4 Pro: 65.5 (#46)
- Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)

| Benchmark | DeepSeek V4 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1451 | 1357 |
| LMArena Creative Writing | 1446 | 1333 |
| LMArena Multi-Turn | 1467 | 1365 |
| EQ-Bench Creative Writing | 1553 | — |
| EQ-Bench 4 | 1166 | — |

## FAQ

### Is DeepSeek V4 Pro better than Qwen3-Coder 480B-A35B Instruct?

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 38.1 on the Noometry Index.

### Which is cheaper, DeepSeek V4 Pro or Qwen3-Coder 480B-A35B Instruct?

DeepSeek V4 Pro is cheaper. It lists at $0.66 per million input tokens and $1.98 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

### Is DeepSeek V4 Pro or Qwen3-Coder 480B-A35B Instruct better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 35.5 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek V4 Pro does, with 1M tokens against 262K.

### How many benchmarks do DeepSeek V4 Pro and Qwen3-Coder 480B-A35B Instruct share?

21 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.