# Qwen3.5-Flash vs Qwen3-Coder 480B-A35B Instruct

> Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen3-5-flash-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Qwen3.5-Flash scores higher in 7 categories and Qwen3-Coder 480B-A35B Instruct in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5-Flash leads 32.9 to 24.7.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3.5-Flash accepts more context: 1M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 42.3 | 37.7 |
| Rank | 105 | 186 |
| Context | 1M | 262K |
| Input $/M | $0.10 | $1.50 |
| Output $/M | $0.40 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- Qwen3.5-Flash: 33.9 (#234)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1243 | 1275 |
| LMArena Coding | 1412 | 1413 |
| ALE-Bench | 221.8 | 461.45 |
| SWE-bench Verified (bash only) | — | 55.4% |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- Qwen3.5-Flash: —
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Vending-Bench 2 | 462.69 | — |

## Reasoning

- Qwen3.5-Flash: 32.9 (#63)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1404 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| Chess Puzzles | 21% | — |
| Mystery Game Puzzles | 20% | — |
| DTBench | 82.9% | — |
| LMCA | 29.1% | — |
| Epoch Capabilities Index | 143.98 | — |

## Math

- Qwen3.5-Flash: 36.3 (#117)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1407 | 1364 |
| FrontierMath (Tiers 1-3) | 18.2% | — |
| OTIS Mock AIME 2024-2025 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 6.2% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- Qwen3.5-Flash: 43.2 (#84)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1408 | 1337 |
| GPQA Diamond | 82.3% | — |
| SimpleQA Verified | 20.3% | — |
| Vectara Hallucination Rate | 10.5% | — |

## Multilingual

- Qwen3.5-Flash: 50.7 (#116)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1385 | 1345 |
| LMArena Chinese | 1446 | 1356 |
| LMArena French | 1412 | 1394 |
| LMArena German | 1389 | 1324 |
| LMArena Japanese | 1369 | 1309 |
| LMArena Korean | 1344 | 1307 |
| LMArena Russian | 1379 | 1367 |
| LMArena Spanish | 1399 | 1360 |

## Instruction Following

- Qwen3.5-Flash: 72.8 (#133)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1374 | 1356 |

## Long Context

- Qwen3.5-Flash: 42.4 (#119)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1392 | 1379 |

## Writing & Preference

- Qwen3.5-Flash: 58.2 (#117)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1397 | 1356 |
| LMArena Creative Writing | 1343 | 1333 |
| LMArena Multi-Turn | 1393 | 1365 |

## FAQ

### Is Qwen3.5-Flash better than Qwen3-Coder 480B-A35B Instruct?

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 37.7 on the Noometry Index.

### Which is cheaper, Qwen3.5-Flash or Qwen3-Coder 480B-A35B Instruct?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

### Is Qwen3.5-Flash or Qwen3-Coder 480B-A35B Instruct better for coding?

Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 36.2 versus 33.9 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 262K.

### How many benchmarks do Qwen3.5-Flash and Qwen3-Coder 480B-A35B Instruct share?

19 benchmarks have published results for both models. Qwen3.5-Flash has 32 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.