Qwen3.7 Plus vs Qwen3 Next 80B A3B Thinking
Qwen3.7 Plus leads Qwen3 Next 80B A3B Thinking on the Artificial Analysis Intelligence Index, 25.2 to 11.2, at about the same output price ($1.28 vs $1.20 per million). Updated October 22, 2026; 30 benchmarks have a result for both.
Qwen3.7 Plus or Qwen3 Next 80B A3B Thinking: which to pick
Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Qwen3 Next 80B A3B Thinking has none, so the two cannot be ranked on coding.
Pick Qwen3 Next 80B A3B Thinking for output tokens 1.1x cheaper ($1.20 vs $1.28 per million).
- Shared results
- 30
- Qwen3.7 Plus only
- 45
- Qwen3 Next 80B A3B Thinking only
- 0
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Qwen3.7 Plus has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 11.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Plus has a AA Agentic Index result, 17.5.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.7 Plus has a Design Arena: websites result, 1269.
Directional only
Long documents
Listed context window
Qwen3.7 Plus
Qwen3.7 Plus takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Next 80B A3B Thinking
Qwen3.7 Plus $0.0010, Qwen3 Next 80B A3B Thinking $0.0008 per turn.
List prices
At a glance
- Coding index
- Qwen3.7 Plus 33.2 from 2 benchmarks, Qwen3 Next 80B A3B Thinking not benchmarked.
- Widest category
- Coding, 21.8 points apart on average over 3 shared benchmarks.
- Widest single gap
- AA Coding Index: Qwen3.7 Plus 55.9 against Qwen3 Next 80B A3B Thinking 17.4, 38.5 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Plus $1.28 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 1.1x apart.
- Context window
- Qwen3.7 Plus takes 1M tokens, Qwen3 Next 80B A3B Thinking 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Qwen3.7 Plus | Bars | Qwen3 Next 80B A3B Thinking | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 17 | 0 | ||
| All shared boards | 30 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Coding Index | 55.9 | 17.4 | Qwen3.7 Plus |
| Vibe Code Bench (Vals AI) | 46.4% | Not measured | Only Qwen3.7 Plus measured |
| Code migration (Vals AI) | 12.9% | Not measured | Only Qwen3.7 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | 52.8% | Not measured | Only Qwen3.7 Plus measured |
| SkillsBench (Vals AI) | 54.3% | Not measured | Only Qwen3.7 Plus measured |
| SciCode | 46.1% | Not measured | Only Qwen3.7 Plus measured |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | Not measured | Only Qwen3.7 Plus measured |
| FrontierCode | 10.2% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: coding | 1473 | 1392 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1473 | 1393 | Qwen3.7 Plus |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.2 | 11.2 | Qwen3.7 Plus |
| Epoch Capabilities Index | 147.0 | Not measured | Only Qwen3.7 Plus measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Agentic Index | 17.5 | Not measured | Only Qwen3.7 Plus measured |
| Finance Agent (Vals AI) | 38.2% | Not measured | Only Qwen3.7 Plus measured |
| Tax Agent Bench (Vals AI) | 10.5% | Not measured | Only Qwen3.7 Plus measured |
| Legal Research Bench (Vals AI) | 16.4% | Not measured | Only Qwen3.7 Plus measured |
| Excel Modeling Benchmark (Vals AI) | 49.3% | Not measured | Only Qwen3.7 Plus measured |
| τ²-Bench Telecom | 93.0% | Not measured | Only Qwen3.7 Plus measured |
| OSWorld 2.0 | 2.8% | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 90.0% | Not measured | Only Qwen3.7 Plus measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.6% | Not measured | Only Qwen3.7 Plus measured |
| GPQA Diamond (Epoch AI run) | 87.9% | Not measured | Only Qwen3.7 Plus measured |
| Mystery game puzzles | 17.0% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | 1460 | 1371 | Qwen3.7 Plus |
| LMArena Text: expert | 1466 | 1376 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1460 | 1384 | Qwen3.7 Plus |
| LMArena Vision: diagrams | 1292 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: homework | 1295 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | Not measured | Only Qwen3.7 Plus measured |
| FrontierMath, tiers 1 to 3 | 34.4% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: math | 1467 | 1399 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1470 | 1390 | Qwen3.7 Plus |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| MortgageTax (Vals AI) | 66.2% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: science | 1464 | 1384 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1464 | 1392 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1451 | 1364 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1435 | 1360 | Qwen3.7 Plus |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: UI components | 1258 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: game dev | 1261 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: data viz | 1276 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: 3D | 1238 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: all code categories | 1269 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: SVG | 1208 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: ASCII art | 1143 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
| Benchmark | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 39.3% | Not measured | Only Qwen3.7 Plus measured |
| Vals Multimodal Index | 53.9% | Not measured | Only Qwen3.7 Plus measured |
| IFBench | 78.0% | Not measured | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | 73.0% | Not measured | Only Qwen3.7 Plus measured |
| DTBench | 84.0% | Not measured | Only Qwen3.7 Plus measured |
| LMCA | 37.6% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text | 1454 | 1368 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1439 | 1344 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1438 | 1314 | Qwen3.7 Plus |
| LMArena Vision | 1278 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: English | 1458 | 1392 | Qwen3.7 Plus |
| LMArena Text: non-English | 1445 | 1342 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1509 | 1407 | Qwen3.7 Plus |
| LMArena Text: German | 1471 | 1356 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1412 | 1280 | Qwen3.7 Plus |
| LMArena Text: Korean | 1413 | 1310 | Qwen3.7 Plus |
| LMArena Text: French | 1472 | 1351 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1457 | 1358 | Qwen3.7 Plus |
| LMArena Text: Russian | 1457 | 1337 | Qwen3.7 Plus |
| LMArena Text: Polish | 1449 | 1345 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1459 | 1346 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1454 | 1353 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1437 | 1330 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1422 | 1312 | Qwen3.7 Plus |
| LMArena Vision: English | 1280 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: Chinese | 1332 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: reading text | 1288 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: humor | 1261 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: creative writing | 1258 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Document | 1444 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Qwen3 Next 80B A3B Thinking costs less
Repository review
50K input + 3K output tokens
Qwen3 Next 80B A3B Thinking costs less
Agent loop
200K input + 10K output tokens
Qwen3 Next 80B A3B Thinking costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Qwen3.7 Plus | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | No public weights listed | Open weights |
| Released | June 3, 2026 | September 11, 2025 |
| Context window | 1M | 262K |
| Input $/Mtok | $0.32 | $0.15 |
| Output $/Mtok | $1.28 | $1.20 |
| Coding index | 33.2 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Plus better than Qwen3 Next 80B A3B Thinking for coding?
Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Qwen3 Next 80B A3B Thinking has none, so the two cannot be ranked on coding. Pick Qwen3 Next 80B A3B Thinking for output tokens 1.1x cheaper ($1.20 vs $1.28 per million).
Which is cheaper, Qwen3.7 Plus or Qwen3 Next 80B A3B Thinking?
Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.7 Plus or Qwen3 Next 80B A3B Thinking?
Qwen3.7 Plus, with 1M tokens against 262K.
How many benchmarks is the Qwen3.7 Plus vs Qwen3 Next 80B A3B Thinking comparison based on?
30 benchmarks have a result for both models as of October 22, 2026. Qwen3.7 Plus's coding index rests on 2 independent benchmarks and Qwen3 Next 80B A3B Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.