Qwen3.7 Max vs Inkling Small
Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Qwen3.7 Max for coding: it scores 45.1 on the Vibe Coding Index against 29.9 for Inkling Small.
Pick Inkling Small when output tokens cost 3.7x less, or when a solved task costs $0.16 against $4.69.
- Shared results
- 34
- Qwen3.7 Max only
- 25
- Inkling Small only
- 50
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Qwen3.7 Max
Qwen3.7 Max scores 45.1 against 29.9.
One benchmark behind each score
Intelligence
AA Intelligence Index
Qwen3.7 Max
Qwen3.7 Max leads, 29.5 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
Inkling Small
Inkling Small leads, 23.5 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
Qwen3.7 Max
Qwen3.7 Max leads, 90.2% against 83.6%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.7 Max
Qwen3.7 Max leads, 89.3% against 85.6%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Qwen3.7 Max has a Design Arena: websites result, 1274.
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 Max
Qwen3.7 Max takes 1M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling Small
Qwen3.7 Max $0.0037, Inkling Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Inkling Small
Qwen3.7 Max $4.69, Inkling Small $0.16.
Published attempt cost and pass rate
At a glance
- Coding index
- Qwen3.7 Max 45.1 from 1 benchmark, Inkling Small 29.9 from 1 benchmark.
- Widest category
- Math, 15.2 points apart on average over 4 shared benchmarks.
- Widest single gap
- SimpleQA Verified: Qwen3.7 Max 55.8% against Inkling Small 19.1%, 36.7 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Max $4.425 against Inkling Small $1.20 per million output tokens, 3.7x apart.
- Context window
- Qwen3.7 Max 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 Max | Bars | Inkling Small | Ties |
|---|---|---|---|---|
| Coding | 7 | 3 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 3 | 1 | 1 tie | |
| Reasoning | 5 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 4 | 2 | ||
| General | 1 | 1 | ||
| All shared boards | 26 | 7 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index73
| Benchmark | Qwen3.7 Max | Inkling Small | Leader |
|---|---|---|---|
| LMArena WebDev | 1515 | 1409 | Qwen3.7 Max |
| AA Coding Index | 66.0 | 52.9 | Qwen3.7 Max |
| LiveCodeBench (Vals AI) | 87.1% | 85.9% | Qwen3.7 Max |
| SWE-bench Verified (Vals AI) | 68.8% | 82.2% | Inkling Small |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.0% | Only Inkling Small measured |
| Vibe Code Bench (Vals AI) | 47.7% | 19.1% | Qwen3.7 Max |
| Code migration (Vals AI) | 13.1% | 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) | 61.0% | 55.1% | Qwen3.7 Max |
| SkillsBench (Vals AI) | Not measured | 33.6% | Only Inkling Small measured |
| CyberBench (Vals AI) | Not measured | 64.1% | Only Inkling Small measured |
| SciCode | 49.5% | 49.7% | Inkling Small |
| Terminal-Bench Hard (Artificial Analysis run) | 50.8% | Not measured | Only Qwen3.7 Max measured |
| ALE-Bench | 1189.4 | Not measured | Only Qwen3.7 Max measured |
| LMArena Text: coding | Not measured | 1450 | Only Inkling Small measured |
| LMArena Text: software and IT | Not measured | 1447 | Only Inkling Small measured |
| LMArena WebDev: React | 1514 | 1399 | Qwen3.7 Max |
| LMArena WebDev: HTML | 1512 | 1398 | Qwen3.7 Max |
| LMArena WebDev: from an image | Not measured | 1410 | Only Inkling Small measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.7 Max | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.5 | 25.7 | Qwen3.7 Max |
| Epoch Capabilities Index | 154.0 | 150.3 | Qwen3.7 Max |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Qwen3.7 Max | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | 22.5 | 23.5 | Inkling Small |
| Design Arena: agents building web apps | 1208 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building full-stack apps | 1191 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building mobile apps | 1153 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building Android apps | 1165 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building Godot games | 1187 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building games | 1161 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: HTML slides | 1158 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: PowerPoint slides | 1196 | Not measured | Only Qwen3.7 Max measured |
| Finance Agent (Vals AI) | 47.8% | 41.3% | Qwen3.7 Max |
| Tax Agent Bench (Vals AI) | 15.8% | 15.4% | Qwen3.7 Max |
| Legal Research Bench (Vals AI) | 25.5% | 25.5% | Tie |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 2.9% | Only Inkling Small measured |
| Excel Modeling Benchmark (Vals AI) | 57.0% | 31.8% | Qwen3.7 Max |
| τ²-Bench Telecom | 94.7% | Not measured | Only Qwen3.7 Max measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Qwen3.7 Max | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | 83.6% | Qwen3.7 Max |
| GPQA Diamond (Artificial Analysis run) | 92.3% | 89.5% | Qwen3.7 Max |
| Humanity's Last Exam (Artificial Analysis run) | 40.5% | 33.3% | Qwen3.7 Max |
| GPQA Diamond (Epoch AI run) | 90.9% | 88.5% | Qwen3.7 Max |
| ARC-AGI | Not measured | 84.0% | Only Inkling Small measured |
| ARC-AGI-2 | Not measured | 40.1% | Only Inkling Small measured |
| SimpleBench | 70.4% | Not measured | Only Qwen3.7 Max measured |
| Chess puzzles | 26.0% | Not measured | Only Qwen3.7 Max measured |
| Mystery game puzzles | 32.0% | 6.0% | Qwen3.7 Max |
| EBR-bench | 9.5% | Not measured | Only Qwen3.7 Max measured |
| LMArena Text: hard prompts | Not measured | 1423 | Only Inkling Small measured |
| LMArena Text: expert | Not measured | 1441 | Only Inkling Small measured |
| LMArena Text: hard prompts in English | Not measured | 1429 | Only Inkling Small measured |
| LMArena Vision: diagrams | Not measured | 1251 | Only Inkling Small measured |
| LMArena Vision: homework | Not measured | 1257 | Only Inkling Small measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Qwen3.7 Max | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | 90.0% | Qwen3.7 Max |
| FrontierMath, tiers 1 to 3 | 64.6% | 46.3% | Qwen3.7 Max |
| FrontierMath, tier 4 | 34.1% | 17.1% | Qwen3.7 Max |
| ProofBench | 26.0% | 6.0% | Qwen3.7 Max |
| LMArena Text: math | Not measured | 1459 | Only Inkling Small measured |
| LMArena Text: mathematical work | Not measured | 1441 | Only Inkling Small measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Qwen3.7 Max | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | 89.3% | 85.6% | Qwen3.7 Max |
| LegalBench (Vals AI) | 84.9% | 83.0% | Qwen3.7 Max |
| CorpFin (Vals AI) | 63.7% | 69.6% | Inkling Small |
| TaxEval (Vals AI) | 75.3% | 75.5% | Inkling Small |
| MortgageTax (Vals AI) | Not measured | 62.3% | Only Inkling Small measured |
| MedCode (Vals AI) | 38.8% | 37.9% | Qwen3.7 Max |
| SimpleQA Verified | 55.8% | 19.1% | Qwen3.7 Max |
| LMArena Text: science | Not measured | 1428 | Only Inkling Small measured |
| LMArena Text: medicine and healthcare | Not measured | 1413 | Only Inkling Small measured |
| LMArena Text: legal and government | Not measured | 1415 | Only Inkling Small measured |
| LMArena Text: business and finance | Not measured | 1413 | Only Inkling Small measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3.7 Max | Inkling Small | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: UI components | 1269 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: game dev | 1265 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: data viz | 1275 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: 3D | 1266 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: all code categories | 1275 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: SVG | 1216 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: ASCII art | 1211 | Not measured | Only Qwen3.7 Max measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Qwen3.7 Max | 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) | Not measured | 32.7% | Only Inkling Small measured |
| MedScribe (Vals AI) | 79.4% | 84.1% | Inkling Small |
| Vals Multimodal Index | Not measured | 50.0% | Only Inkling Small measured |
| IFBench | 80.5% | Not measured | Only Qwen3.7 Max measured |
| Long context reasoning (AA-LCR) | 79.0% | 75.7% | Qwen3.7 Max |
| DTBench | 92.3% | Not measured | Only Qwen3.7 Max measured |
| LMCA | 44.0% | Not measured | Only Qwen3.7 Max measured |
| LMArena Text | Not measured | 1413 | Only Inkling Small measured |
| LMArena Text: instruction following | Not measured | 1399 | Only Inkling Small measured |
| LMArena Text: creative writing | Not measured | 1334 | Only Inkling Small measured |
| LMArena Vision | Not measured | 1237 | Only Inkling Small measured |
| LMArena Text: English | Not measured | 1421 | Only Inkling Small measured |
| LMArena Text: non-English | Not measured | 1401 | Only Inkling Small measured |
| LMArena Text: Chinese | Not measured | 1464 | Only Inkling Small measured |
| LMArena Text: German | Not measured | 1408 | Only Inkling Small measured |
| LMArena Text: Japanese | Not measured | 1401 | Only Inkling Small measured |
| LMArena Text: Korean | Not measured | 1367 | Only Inkling Small measured |
| LMArena Text: French | Not measured | 1435 | Only Inkling Small measured |
| LMArena Text: Spanish | Not measured | 1422 | Only Inkling Small measured |
| LMArena Text: Russian | Not measured | 1394 | Only Inkling Small measured |
| LMArena Text: Polish | Not measured | 1428 | Only Inkling Small measured |
| LMArena Text: multi-turn | Not measured | 1416 | Only Inkling Small measured |
| LMArena Text: longer queries | Not measured | 1402 | Only Inkling Small measured |
| LMArena Text: writing and language | Not measured | 1357 | Only Inkling Small measured |
| LMArena Text: entertainment and media | Not measured | 1352 | Only Inkling Small measured |
| LMArena Vision: English | Not measured | 1243 | Only Inkling Small measured |
| LMArena Vision: Chinese | Not measured | 1292 | Only Inkling Small measured |
| LMArena Vision: reading text | Not measured | 1243 | Only Inkling Small measured |
| LMArena Vision: humor | Not measured | 1207 | Only Inkling Small measured |
| LMArena Vision: creative writing | Not measured | 1205 | Only Inkling Small measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.7 Max | 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
Inkling Small costs less
Repository review
50K input + 3K output tokens
Inkling Small costs less
Agent loop
200K input + 10K output tokens
Inkling Small 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 Max | Thinking Machines Inkling Small |
|---|---|---|
| Maker | Qwen | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | May 21, 2026 | July 30, 2026 |
| Context window | 1M | 524K |
| Input $/Mtok | $1.475 | $0.45 |
| Output $/Mtok | $4.425 | $1.20 |
| Coding index | 45.1 | 29.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $4.69 | $0.16 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Max better than Inkling Small for coding?
Pick Qwen3.7 Max for coding: it scores 45.1 on the Vibe Coding Index against 29.9 for Inkling Small. Pick Inkling Small when output tokens cost 3.7x less, or when a solved task costs $0.16 against $4.69.
Which is cheaper, Qwen3.7 Max or Inkling Small?
Qwen3.7 Max costs $1.475 per million input tokens and $4.425 per million output tokens; Inkling Small costs $0.45 and $1.20. Per solved SWE-bench Verified task, Qwen3.7 Max costs $4.69 and Inkling Small $0.16.
Which has the bigger context window, Qwen3.7 Max or Inkling Small?
Qwen3.7 Max, with 1M tokens against 524K.
How many benchmarks is the Qwen3.7 Max vs Inkling Small comparison based on?
34 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Max's coding index rests on 1 independent benchmark and Inkling Small's on 1. Where only one model has a result, the page says so instead of naming a winner.