Model comparison
Qwen3.7 Plus vs Qwen3-Next 80B-A3B Instruct
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 43.0 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Qwen3.7 Plus scores higher in 7 categories and Qwen3-Next 80B-A3B Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 41.8.
- Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- Qwen3.7 Plus accepts more context: 1M tokens versus 131K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 45.3 | 43.0 |
| Released | 2026-06-02 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 131K | 33K |
| Input $ / M tokens | $0.40 | $0.50 |
| Output $ / M tokens | $1.60 | $2 |
| Results tracked | 32 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen3.7 Plus: 36.6 (#206), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1473 | 1440 |
| FrontierCode | 10.2% | — |
| SciCode | 45.5% | — |
Agentic & Tool Use Not comparable
Qwen3.7 Plus: 21.4 (#138), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| OSWorld 2.0 | 2.8% | — |
Reasoning Qwen3.7 Plus leads
Qwen3.7 Plus: 39.3 (#59), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1460 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| NYT Connections (extended) | 74.8% | — |
| CritPt | 9.1% | — |
| Chess Puzzles | 24% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 84% | — |
| LMCA | 37.6% | — |
| Epoch Capabilities Index | 147.37 | — |
Math Qwen3.7 Plus leads
Qwen3.7 Plus: 50.5 (#56), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1466 | 1440 |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3.7 Plus leads
Qwen3.7 Plus: 54.9 (#51), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1467 | 1417 |
| GPQA Diamond | 87.9% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
Multimodal Not comparable
Qwen3.7 Plus: 41.8 (#33), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1279 | — |
| LMArena Document | 1444 | — |
Multilingual Qwen3.7 Plus leads
Qwen3.7 Plus: 54.8 (#38), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1445 | 1407 |
| LMArena Chinese | 1510 | 1460 |
| LMArena French | 1473 | 1413 |
| LMArena German | 1471 | 1417 |
| LMArena Japanese | 1413 | 1395 |
| LMArena Korean | 1415 | 1364 |
| LMArena Russian | 1457 | 1404 |
| LMArena Spanish | 1457 | 1435 |
Instruction Following Qwen3.7 Plus leads
Qwen3.7 Plus: 75.8 (#52), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1440 | 1389 |
| IFEval | — | 81% |
Long Context Qwen3.7 Plus leads
Qwen3.7 Plus: 44.5 (#65), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1455 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3.7 Plus leads
Qwen3.7 Plus: 64.3 (#56), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Qwen3.7 Plus | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1455 | 1417 |
| LMArena Creative Writing | 1439 | 1334 |
| LMArena Multi-Turn | 1460 | 1416 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Qwen3.7 Plus better than Qwen3-Next 80B-A3B Instruct?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 43.0 on the Noometry Index.
Which is cheaper, Qwen3.7 Plus or Qwen3-Next 80B-A3B Instruct?
Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is Qwen3.7 Plus or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Plus does, with 1M tokens against 131K.
How many benchmarks do Qwen3.7 Plus and Qwen3-Next 80B-A3B Instruct share?
17 benchmarks have published results for both models. Qwen3.7 Plus has 32 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.