Model comparison
Qwen3.6 27B vs Qwen3-Next 80B-A3B Instruct
Qwen3.6 27B and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.2 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 41.8.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $0.60 / $3.60 for Qwen3.6 27B.
- Qwen3.6 27B accepts more context: 262K tokens versus 131K.
Side by side
| Qwen3.6 27B | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 42.2 | 43.0 |
| Released | 2026-04-22 | 2025-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.60 | $0.50 |
| Output $ / M tokens | $3.60 | $2 |
| Results tracked | 11 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen3.6 27B: 39.1 (#163), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Qwen3.6 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| SciCode | 37.3% | — |
| LMArena Coding | — | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Qwen3.6 27B: 25.0 (#153), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Qwen3.6 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 66.7% |
| CritPt | 0.9% | — |
| Chess Puzzles | 22% | — |
| LMArena Hard Prompts | — | 1428 |
| Mystery Game Puzzles | 7% | — |
| DTBench | 78.1% | — |
| LMCA | 34.5% | — |
| Epoch Capabilities Index | 146.5 | — |
Math Qwen3.6 27B leads
Qwen3.6 27B: 48.5 (#62), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Qwen3.6 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 35.1% | — |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Qwen3.6 27B leads
Qwen3.6 27B: 52.4 (#63), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Qwen3.6 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| GPQA Diamond | 85.9% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
Multilingual Not comparable
Qwen3.6 27B: —, Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Qwen3.6 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Not comparable
Qwen3.6 27B: —, Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Qwen3.6 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1389 |
Long Context Not comparable
Qwen3.6 27B: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Qwen3.6 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Qwen3.6 27B: 50.3 (#181), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Qwen3.6 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1334 |
| WildBench | — | 80.7% |
| EQ-Bench 4 | 1026 | — |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is Qwen3.6 27B better than Qwen3-Next 80B-A3B Instruct?
Qwen3.6 27B and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.2 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, Qwen3.6 27B or Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; Qwen3.6 27B lists at $0.60 and $3.60.
Is Qwen3.6 27B or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 27B does, with 262K tokens against 131K.
How many benchmarks do Qwen3.6 27B and Qwen3-Next 80B-A3B Instruct share?
0 benchmarks have published results for both models. Qwen3.6 27B has 11 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.