Model comparison
Qwen3.5-Flash vs Qwen3-Coder 480B-A35B Instruct
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 38.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Qwen3.5-Flash scores higher in 6 categories and Qwen3-Coder 480B-A35B Instruct in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5-Flash leads 33.7 to 25.5.
- 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.
Side by side
| Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 42.5 | 38.1 |
| Released | 2026-02-23 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.10 | $1.50 |
| Output $ / M tokens | $0.40 | $7.50 |
| Results tracked | 32 | 25 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Qwen3.5-Flash: 34.2 (#242), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1244 | 1275 |
| LMArena Coding | 1412 | 1412 |
| 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 Not comparable
Qwen3.5-Flash: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Vending-Bench 2 | 462.69 | — |
Reasoning Qwen3.5-Flash leads
Qwen3.5-Flash: 33.7 (#72), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1403 | 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 Too close to call
Qwen3.5-Flash: 37.4 (#158), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1407 | 1365 |
| 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 leads
Qwen3.5-Flash: 43.2 (#93), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1407 | 1338 |
| GPQA Diamond | 82.3% | — |
| SimpleQA Verified | 20.3% | — |
| Vectara Hallucination Rate | 10.5% | — |
Multilingual Qwen3.5-Flash leads
Qwen3.5-Flash: 50.5 (#121), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1385 | 1346 |
| LMArena Chinese | 1446 | 1357 |
| LMArena French | 1412 | 1398 |
| LMArena German | 1390 | 1325 |
| LMArena Japanese | 1368 | 1310 |
| LMArena Korean | 1344 | 1305 |
| LMArena Russian | 1379 | 1366 |
| LMArena Spanish | 1400 | 1360 |
Instruction Following Too close to call
Qwen3.5-Flash: 72.6 (#139), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1374 | 1355 |
Long Context Too close to call
Qwen3.5-Flash: 42.4 (#124), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1392 | 1378 |
Writing & Preference Qwen3.5-Flash leads
Qwen3.5-Flash: 57.9 (#122), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Qwen3.5-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1397 | 1357 |
| LMArena Creative Writing | 1343 | 1333 |
| LMArena Multi-Turn | 1393 | 1365 |
Frequently asked questions
Is Qwen3.5-Flash better than Qwen3-Coder 480B-A35B Instruct?
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 38.1 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: 35.5 versus 34.2 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.