Model comparison
Qwen3.5-Flash vs Qwen3-Next 80B-A3B Instruct
Qwen3.5-Flash and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.5 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Qwen3.5-Flash scores higher in 4 categories and Qwen3-Next 80B-A3B Instruct in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3-Next 80B-A3B Instruct leads 42.5 to 34.2.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- Qwen3.5-Flash accepts more context: 1M tokens versus 131K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 42.5 | 43.0 |
| Released | 2026-02-23 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.10 | $0.50 |
| Output $ / M tokens | $0.40 | $2 |
| Results tracked | 32 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen3.5-Flash: 34.2 (#242), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1412 | 1440 |
| LMArena WebDev | 1244 | — |
| ALE-Bench | 221.8 | — |
Agentic & Tool Use Not comparable
Qwen3.5-Flash: —, Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vending-Bench 2 | 462.69 | — |
Reasoning Qwen3.5-Flash leads
Qwen3.5-Flash: 33.7 (#72), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| Chess Puzzles | 21% | — |
| Mystery Game Puzzles | 20% | — |
| DTBench | 82.9% | — |
| LMCA | 29.1% | — |
| Epoch Capabilities Index | 143.98 | — |
Math Qwen3-Next 80B-A3B Instruct leads
Qwen3.5-Flash: 37.4 (#158), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1407 | 1440 |
| FrontierMath (Tiers 1-3) | 18.2% | — |
| OTIS Mock AIME 2024-2025 | 84.4% | — |
| Omni-MATH | — | 46.7% |
| FrontierMath (Feb 2025 set) | 6.2% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Qwen3.5-Flash leads
Qwen3.5-Flash: 43.2 (#93), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vectara Hallucination Rate | 10.5% | 9.3% |
| LMArena Expert | 1407 | 1417 |
| GPQA Diamond | 82.3% | — |
| SimpleQA Verified | 20.3% | — |
| MMLU-Pro | — | 78.6% |
| GPQA (HELM) | — | 63% |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Qwen3.5-Flash: 50.5 (#121), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1385 | 1407 |
| LMArena Chinese | 1446 | 1460 |
| LMArena French | 1412 | 1413 |
| LMArena German | 1390 | 1417 |
| LMArena Japanese | 1368 | 1395 |
| LMArena Korean | 1344 | 1364 |
| LMArena Russian | 1379 | 1404 |
| LMArena Spanish | 1400 | 1435 |
Instruction Following Qwen3.5-Flash leads
Qwen3.5-Flash: 72.6 (#139), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1374 | 1389 |
| IFEval | — | 81% |
Long Context Qwen3.5-Flash leads
Qwen3.5-Flash: 42.4 (#124), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1392 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Too close to call
Qwen3.5-Flash: 57.9 (#122), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Qwen3.5-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1397 | 1417 |
| LMArena Creative Writing | 1343 | 1334 |
| LMArena Multi-Turn | 1393 | 1416 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Qwen3.5-Flash better than Qwen3-Next 80B-A3B Instruct?
Qwen3.5-Flash and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.5 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, Qwen3.5-Flash or Qwen3-Next 80B-A3B Instruct?
Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is Qwen3.5-Flash or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-Flash does, with 1M tokens against 131K.
How many benchmarks do Qwen3.5-Flash and Qwen3-Next 80B-A3B Instruct share?
18 benchmarks have published results for both models. Qwen3.5-Flash has 32 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.