Qwen3.7 Plus vs Inkling
Qwen3.7 Plus leads Inkling on coding, 33.2 to 31.5 on the Vibe Coding Index, and Qwen3.7 Plus costs 3.2x less per output token ($1.28 vs $4.05 per million). Updated October 21, 2026; 61 benchmarks have a result for both.
Qwen3.7 Plus or Inkling: which to pick
Qwen3.7 Plus and Inkling are level for coding, 33.2 against 31.5 on the Vibe Coding Index, so price and context decide.
Pick Inkling for work measured by SciCode or FrontierCode, where it leads. Pick Qwen3.7 Plus for output tokens 3.2x cheaper ($1.28 vs $4.05 per million) and a larger context window (1M against 524K tokens).
- Shared results
- 61
- Qwen3.7 Plus only
- 14
- Inkling only
- 41
- Like-for-like categories
- 8 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
Level: 33.2 against 31.5, inside 2 points.
2 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 25.0.
Same board, both measured
Agentic work
AA Agentic Index
Inkling
Inkling leads, 22.5 against 17.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Inkling has a GPQA Diamond result, 87.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling has a MMLU Pro result, 86.3%.
Directional only
Web design
Design Arena: websites
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1224.
Same board, both measured
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
Qwen3.7 Plus
Qwen3.7 Plus takes 1M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Plus
Qwen3.7 Plus $0.0010, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Inkling has the number, $0.76.
Directional only
At a glance
- Coding index
- Qwen3.7 Plus 33.2 from 2 benchmarks, Inkling 31.5 from 6 benchmarks.
- Widest category
- Web design, 9.5 points apart on average over 8 shared benchmarks.
- Widest single gap
- SkillsBench (Vals AI): Qwen3.7 Plus 54.3% against Inkling 26.1%, 28.2 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Plus $1.28 against Inkling $4.05 per million output tokens, 3.2x apart.
- Context window
- Qwen3.7 Plus takes 1M tokens, Inkling 524K.
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 | Inkling | Ties |
|---|---|---|---|---|
| Coding | 7 | 2 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 1 | 4 | ||
| Reasoning | 5 | 1 | ||
| Math | 3 | 1 | ||
| Knowledge | 4 | 1 | ||
| Web design | 8 | 0 | ||
| General | 17 | 4 | 1 tie | |
| All shared boards | 46 | 14 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index72
| Benchmark | Qwen3.7 Plus | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | Not measured | 1414 | Only Inkling measured |
| AA Coding Index | 55.9 | 52.1 | Qwen3.7 Plus |
| LiveCodeBench (Vals AI) | Not measured | 85.5% | Only Inkling measured |
| SWE-bench Verified (Vals AI) | Not measured | 77.6% | Only Inkling measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only Inkling measured |
| Vibe Code Bench (Vals AI) | 46.4% | 19.2% | Qwen3.7 Plus |
| Code migration (Vals AI) | 12.9% | 11.8% | Qwen3.7 Plus |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| IOI (Vals AI) | Not measured | 14.9% | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | 52.8% | 47.6% | Qwen3.7 Plus |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 7.3% | Only Inkling measured |
| SkillsBench (Vals AI) | 54.3% | 26.1% | Qwen3.7 Plus |
| CyberBench (Vals AI) | Not measured | 66.8% | Only Inkling measured |
| SciCode | 46.1% | 47.0% | Inkling |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | Not measured | Only Qwen3.7 Plus measured |
| FrontierCode | 10.2% | 14.0% | Inkling |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | Not measured | 32.3% | Only Inkling measured |
| ALE-Bench | Not measured | 946.0 | Only Inkling measured |
| LMArena Text: coding | 1473 | 1466 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1473 | 1465 | Qwen3.7 Plus |
| LMArena WebDev: React | Not measured | 1404 | Only Inkling measured |
| LMArena WebDev: HTML | Not measured | 1399 | Only Inkling measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Qwen3.7 Plus | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.2 | 25.0 | Qwen3.7 Plus |
| Epoch Capabilities Index | 147.0 | 148.4 | Inkling |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Qwen3.7 Plus | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | 17.5 | 22.5 | Inkling |
| Design Arena: agents building web apps | Not measured | 1196 | Only Inkling measured |
| LiveBench research | Not measured | 59.9% | Only Inkling measured |
| LiveBench browser | Not measured | 16.0% | Only Inkling measured |
| LiveBench long agentic | Not measured | 14.1% | Only Inkling measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | 38.2% | 46.6% | Inkling |
| Tax Agent Bench (Vals AI) | 10.5% | 15.3% | Inkling |
| Legal Research Bench (Vals AI) | 16.4% | 28.4% | Inkling |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | 49.3% | 38.4% | Qwen3.7 Plus |
| τ²-Bench Telecom | 93.0% | Not measured | Only Qwen3.7 Plus measured |
| APEX-Agents | Not measured | 33.8% | Only Inkling measured |
| OSWorld 2.0 | 2.8% | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Qwen3.7 Plus | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.1% | Only Inkling measured |
| LiveBench reasoning | Not measured | 78.3% | Only Inkling measured |
| MMMU Pro (Vals AI) | Not measured | 78.5% | Only Inkling measured |
| GPQA Diamond (Artificial Analysis run) | 90.0% | 87.2% | Qwen3.7 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 35.6% | 31.9% | Qwen3.7 Plus |
| GPQA Diamond (Epoch AI run) | 87.9% | 88.3% | Inkling |
| ARC-AGI | Not measured | 79.5% | Only Inkling measured |
| ARC-AGI-2 | Not measured | 36.5% | Only Inkling measured |
| SimpleBench | Not measured | 50.0% | Only Inkling measured |
| Chess puzzles | Not measured | 21.0% | Only Inkling measured |
| Mystery game puzzles | 17.0% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | 1460 | 1451 | Qwen3.7 Plus |
| LMArena Text: expert | 1466 | 1466 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1460 | 1448 | 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 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Qwen3.7 Plus | Inkling | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | 88.9% | Qwen3.7 Plus |
| FrontierMath, tiers 1 to 3 | 34.4% | 33.3% | Qwen3.7 Plus |
| FrontierMath, tier 4 | Not measured | 4.9% | Only Inkling measured |
| ProofBench | Not measured | 0.0% | Only Inkling measured |
| LMArena Text: math | 1467 | 1479 | Inkling |
| LMArena Text: mathematical work | 1470 | 1460 | Qwen3.7 Plus |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Qwen3.7 Plus | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.3% | Only Inkling measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling measured |
| CorpFin (Vals AI) | Not measured | 68.6% | Only Inkling measured |
| TaxEval (Vals AI) | Not measured | 75.3% | Only Inkling measured |
| MortgageTax (Vals AI) | 66.2% | 64.0% | Qwen3.7 Plus |
| MedCode (Vals AI) | Not measured | 41.2% | Only Inkling measured |
| SimpleQA Verified | Not measured | 40.3% | Only Inkling measured |
| LMArena Text: science | 1464 | 1455 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1464 | 1447 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1451 | 1448 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1435 | 1438 | Inkling |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Qwen3.7 Plus | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | 1224 | Qwen3.7 Plus |
| Design Arena: UI components | 1261 | 1201 | Qwen3.7 Plus |
| Design Arena: game dev | 1262 | 1166 | Qwen3.7 Plus |
| Design Arena: data viz | 1276 | 1159 | Qwen3.7 Plus |
| Design Arena: 3D | 1239 | 1161 | Qwen3.7 Plus |
| Design Arena: all code categories | 1269 | 1206 | Qwen3.7 Plus |
| Design Arena: SVG | 1208 | 1110 | Qwen3.7 Plus |
| Design Arena: ASCII art | 1143 | 1089 | Qwen3.7 Plus |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index174
| Benchmark | Qwen3.7 Plus | Inkling | Leader |
|---|---|---|---|
| Vals Index | Not measured | 29.0% | Only Inkling measured |
| LiveBench data analysis | Not measured | 72.8% | Only Inkling measured |
| Public Benefits Bench (Vals AI) | Not measured | 58.5% | Only Inkling measured |
| SAGE (Vals AI) | 39.3% | 36.5% | Qwen3.7 Plus |
| MedScribe (Vals AI) | Not measured | 85.4% | Only Inkling measured |
| Vals Multimodal Index | 53.9% | 49.4% | Qwen3.7 Plus |
| IFBench | 78.0% | Not measured | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | 73.0% | 77.3% | Inkling |
| DTBench | 84.0% | 87.5% | Inkling |
| LMCA | 37.6% | 37.6% | Tie |
| LMArena Text | 1454 | 1442 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1439 | 1425 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1438 | 1390 | Qwen3.7 Plus |
| LMArena Vision | 1278 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: English | 1458 | 1442 | Qwen3.7 Plus |
| LMArena Text: non-English | 1445 | 1434 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1509 | 1493 | Qwen3.7 Plus |
| LMArena Text: German | 1471 | 1445 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1412 | 1429 | Inkling |
| LMArena Text: Korean | 1413 | 1403 | Qwen3.7 Plus |
| LMArena Text: French | 1472 | 1455 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1457 | 1449 | Qwen3.7 Plus |
| LMArena Text: Russian | 1457 | 1430 | Qwen3.7 Plus |
| LMArena Text: Polish | 1449 | 1450 | Inkling |
| LMArena Text: multi-turn | 1459 | 1437 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1454 | 1435 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1437 | 1404 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1422 | 1394 | 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 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.7 Plus | Inkling | 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
Qwen3.7 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Plus 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 | Thinking Machines Inkling |
|---|---|---|
| Maker | Qwen | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | June 3, 2026 | July 17, 2026 |
| Context window | 1M | 524K |
| Input $/Mtok | $0.32 | $0.975 |
| Output $/Mtok | $1.28 | $4.05 |
| Coding index | 33.2 | 31.5 |
| Independent measurements behind it | 2 | 6 |
| Cost per solved task | Not computable | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Plus better than Inkling for coding?
Qwen3.7 Plus and Inkling are level for coding, 33.2 against 31.5 on the Vibe Coding Index, so price and context decide. Pick Inkling for work measured by SciCode or FrontierCode, where it leads. Pick Qwen3.7 Plus for output tokens 3.2x cheaper ($1.28 vs $4.05 per million) and a larger context window (1M against 524K tokens).
Which is cheaper, Qwen3.7 Plus or Inkling?
Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; Inkling costs $0.975 and $4.05. Cost per solved task is known for Inkling only.
Which has the bigger context window, Qwen3.7 Plus or Inkling?
Qwen3.7 Plus, with 1M tokens against 524K.
How many benchmarks is the Qwen3.7 Plus vs Inkling comparison based on?
61 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Plus's coding index rests on 2 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.