Qwen3.7 Plus vs Inkling Small
Qwen3.7 Plus leads Inkling Small on coding, 33.2 to 27.3 on the Vibe Coding Index, at about the same output price ($1.28 vs $1.20 per million). Updated October 21, 2026; 59 benchmarks have a result for both.
Qwen3.7 Plus or Inkling Small: which to pick
Pick Qwen3.7 Plus for coding: it scores 33.2 on the Vibe Coding Index against 27.3 for Inkling Small, though on 2 benchmarks against 4.
Pick Inkling Small for output tokens 1.1x cheaper ($1.20 vs $1.28 per million) and work measured by Code migration (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
- Shared results
- 59
- Qwen3.7 Plus only
- 16
- Inkling Small only
- 25
- Like-for-like categories
- 7 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
Qwen3.7 Plus
Qwen3.7 Plus scores 33.2 against 27.3.
2 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Inkling Small
Inkling Small leads, 25.7 against 25.2.
Same board, both measured
Agentic work
AA Agentic Index
Inkling Small
Inkling Small leads, 23.5 against 17.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Inkling Small has a GPQA Diamond result, 83.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling Small has a MMLU Pro result, 85.6%.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.7 Plus has a Design Arena: websites result, 1269.
Directional only
General
Vals Index
No call
Only Inkling Small has a Vals Index result, 27.6%.
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 Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Inkling Small has the number, $0.16.
Directional only
At a glance
- Coding index
- Qwen3.7 Plus 33.2 from 2 benchmarks, Inkling Small 27.3 from 4 benchmarks.
- Widest category
- Coding, 8.2 points apart on average over 8 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Qwen3.7 Plus 46.4% against Inkling Small 19.1%, 27.3 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Plus $1.28 against Inkling Small $1.20 per million output tokens, 1.1x apart.
- Context window
- Qwen3.7 Plus takes 1M tokens, Inkling Small 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 Small | Ties |
|---|---|---|---|---|
| Coding | 5 | 3 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 1 | 4 | ||
| Reasoning | 8 | 1 | ||
| Math | 3 | 1 | ||
| Knowledge | 5 | 0 | ||
| General | 25 | 1 | ||
| All shared boards | 47 | 12 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index53
| Benchmark | Qwen3.7 Plus | Inkling Small | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1409 | Only Inkling Small measured |
| AA Coding Index | 55.9 | 52.9 | Qwen3.7 Plus |
| LiveCodeBench (Vals AI) | Not measured | 85.9% | Only Inkling Small measured |
| SWE-bench Verified (Vals AI) | Not measured | 82.2% | Only Inkling Small measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.0% | Only Inkling Small measured |
| Vibe Code Bench (Vals AI) | 46.4% | 19.1% | Qwen3.7 Plus |
| Code migration (Vals AI) | 12.9% | 13.7% | Inkling Small |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Inkling Small measured |
| IOI (Vals AI) | Not measured | 9.3% | Only Inkling Small measured |
| Terminal-Bench 2.1 (Vals AI) | 52.8% | 55.1% | Inkling Small |
| SkillsBench (Vals AI) | 54.3% | 33.6% | Qwen3.7 Plus |
| CyberBench (Vals AI) | Not measured | 64.1% | Only Inkling Small measured |
| SciCode | 46.1% | 49.7% | Inkling Small |
| 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 | 1450 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1473 | 1447 | Qwen3.7 Plus |
| LMArena WebDev: React | Not measured | 1399 | Only Inkling Small measured |
| LMArena WebDev: HTML | Not measured | 1398 | Only Inkling Small measured |
| LMArena WebDev: from an image | Not measured | 1410 | Only Inkling Small measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3.7 Plus | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.2 | 25.7 | Inkling Small |
| Epoch Capabilities Index | 147.0 | 150.3 | Inkling Small |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Qwen3.7 Plus | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | 17.5 | 23.5 | Inkling Small |
| Finance Agent (Vals AI) | 38.2% | 41.3% | Inkling Small |
| Tax Agent Bench (Vals AI) | 10.5% | 15.4% | Inkling Small |
| Legal Research Bench (Vals AI) | 16.4% | 25.5% | Inkling Small |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 2.9% | Only Inkling Small measured |
| Excel Modeling Benchmark (Vals AI) | 49.3% | 31.8% | Qwen3.7 Plus |
| 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 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index81
| Benchmark | Qwen3.7 Plus | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 83.6% | Only Inkling Small measured |
| GPQA Diamond (Artificial Analysis run) | 90.0% | 89.5% | Qwen3.7 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 35.6% | 33.3% | Qwen3.7 Plus |
| GPQA Diamond (Epoch AI run) | 87.9% | 88.5% | Inkling Small |
| ARC-AGI | Not measured | 84.0% | Only Inkling Small measured |
| ARC-AGI-2 | Not measured | 40.1% | Only Inkling Small measured |
| Mystery game puzzles | 17.0% | 6.0% | Qwen3.7 Plus |
| LMArena Text: hard prompts | 1460 | 1423 | Qwen3.7 Plus |
| LMArena Text: expert | 1466 | 1441 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1460 | 1429 | Qwen3.7 Plus |
| LMArena Vision: diagrams | 1292 | 1251 | Qwen3.7 Plus |
| LMArena Vision: homework | 1295 | 1257 | Qwen3.7 Plus |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Qwen3.7 Plus | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | 90.0% | Qwen3.7 Plus |
| FrontierMath, tiers 1 to 3 | 34.4% | 46.3% | Inkling Small |
| FrontierMath, tier 4 | Not measured | 17.1% | Only Inkling Small measured |
| ProofBench | Not measured | 6.0% | Only Inkling Small measured |
| LMArena Text: math | 1467 | 1459 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1470 | 1441 | 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 index50
| Benchmark | Qwen3.7 Plus | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.6% | Only Inkling Small measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling Small measured |
| CorpFin (Vals AI) | Not measured | 69.6% | Only Inkling Small measured |
| TaxEval (Vals AI) | Not measured | 75.5% | Only Inkling Small measured |
| MortgageTax (Vals AI) | 66.2% | 62.3% | Qwen3.7 Plus |
| MedCode (Vals AI) | Not measured | 37.9% | Only Inkling Small measured |
| SimpleQA Verified | Not measured | 19.1% | Only Inkling Small measured |
| LMArena Text: science | 1464 | 1428 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1464 | 1413 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1451 | 1415 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1435 | 1413 | Qwen3.7 Plus |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3.7 Plus | Inkling Small | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: UI components | 1261 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: game dev | 1262 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: data viz | 1276 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: 3D | 1239 | 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 index251
| Benchmark | Qwen3.7 Plus | Inkling Small | Leader |
|---|---|---|---|
| Vals Index | Not measured | 27.6% | Only Inkling Small measured |
| Public Benefits Bench (Vals AI) | Not measured | 59.4% | Only Inkling Small measured |
| SAGE (Vals AI) | 39.3% | 32.7% | Qwen3.7 Plus |
| MedScribe (Vals AI) | Not measured | 84.1% | Only Inkling Small measured |
| Vals Multimodal Index | 53.9% | 50.0% | Qwen3.7 Plus |
| IFBench | 78.0% | Not measured | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | 73.0% | 75.7% | Inkling Small |
| DTBench | 84.0% | Not measured | Only Qwen3.7 Plus measured |
| LMCA | 37.6% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text | 1454 | 1413 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1439 | 1399 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1438 | 1334 | Qwen3.7 Plus |
| LMArena Vision | 1278 | 1237 | Qwen3.7 Plus |
| LMArena Text: English | 1458 | 1421 | Qwen3.7 Plus |
| LMArena Text: non-English | 1445 | 1401 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1509 | 1464 | Qwen3.7 Plus |
| LMArena Text: German | 1471 | 1408 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1412 | 1401 | Qwen3.7 Plus |
| LMArena Text: Korean | 1413 | 1367 | Qwen3.7 Plus |
| LMArena Text: French | 1472 | 1435 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1457 | 1422 | Qwen3.7 Plus |
| LMArena Text: Russian | 1457 | 1394 | Qwen3.7 Plus |
| LMArena Text: Polish | 1449 | 1428 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1459 | 1416 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1454 | 1402 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1437 | 1357 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1422 | 1352 | Qwen3.7 Plus |
| LMArena Vision: English | 1280 | 1243 | Qwen3.7 Plus |
| LMArena Vision: Chinese | 1332 | 1292 | Qwen3.7 Plus |
| LMArena Vision: reading text | 1288 | 1243 | Qwen3.7 Plus |
| LMArena Vision: humor | 1261 | 1207 | Qwen3.7 Plus |
| LMArena Vision: creative writing | 1258 | 1205 | Qwen3.7 Plus |
| LMArena Document | 1444 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.7 Plus | Inkling Small | 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 Small |
|---|---|---|
| Maker | Qwen | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | June 3, 2026 | July 30, 2026 |
| Context window | 1M | 524K |
| Input $/Mtok | $0.32 | $0.45 |
| Output $/Mtok | $1.28 | $1.20 |
| Coding index | 33.2 | 27.3 |
| Independent measurements behind it | 2 | 4 |
| Cost per solved task | Not computable | $0.16 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Plus better than Inkling Small for coding?
Pick Qwen3.7 Plus for coding: it scores 33.2 on the Vibe Coding Index against 27.3 for Inkling Small, though on 2 benchmarks against 4. Pick Inkling Small for output tokens 1.1x cheaper ($1.20 vs $1.28 per million) and work measured by Code migration (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
Which is cheaper, Qwen3.7 Plus or Inkling Small?
Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; Inkling Small costs $0.45 and $1.20. Cost per solved task is known for Inkling Small only.
Which has the bigger context window, Qwen3.7 Plus or Inkling Small?
Qwen3.7 Plus, with 1M tokens against 524K.
How many benchmarks is the Qwen3.7 Plus vs Inkling Small comparison based on?
59 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 Small's on 4. Where only one model has a result, the page says so instead of naming a winner.