Gemini 3.7 Flash vs Inkling Small
Gemini 3.7 Flash leads Inkling Small on coding, 58.0 to 27.3 on the Vibe Coding Index, and Inkling Small costs 3.1x less per output token ($1.20 vs $3.75 per million). Updated October 22, 2026; 78 benchmarks have a result for both.
Gemini 3.7 Flash or Inkling Small: which to pick
Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 27.3 for Inkling Small.
Pick Inkling Small for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a lower cost per solved task ($0.16 against $1.78).
- Shared results
- 78
- Gemini 3.7 Flash only
- 36
- Inkling Small only
- 6
- 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
Gemini 3.7 Flash
Gemini 3.7 Flash scores 58.0 against 27.3.
6 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 39.6 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Inkling Small has a AA Agentic Index result, 23.5.
Directional only
Reasoning
GPQA Diamond
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 93.9% against 83.6%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 90.1% against 85.6%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 3.7 Flash has a Design Arena: websites result, 1303.
Directional only
General
Vals Index
No call
Only Inkling Small has a Vals Index result, 27.6%.
Directional only
Long documents
Listed context window
Gemini 3.7 Flash
Gemini 3.7 Flash takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling Small
Gemini 3.7 Flash $0.0026, Inkling Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Inkling Small
Gemini 3.7 Flash $1.78, Inkling Small $0.16.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.7 Flash 58.0 from 6 benchmarks, Inkling Small 27.3 from 4 benchmarks.
- Widest category
- Coding, 21.9 points apart on average over 18 shared benchmarks.
- Widest single gap
- IOI (Vals AI): Gemini 3.7 Flash 67.8% against Inkling Small 9.3%, 58.5 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.7 Flash $3.75 against Inkling Small $1.20 per million output tokens, 3.1x apart.
- Context window
- Gemini 3.7 Flash takes 1.05M 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 | Gemini 3.7 Flash | Bars | Inkling Small | Ties |
|---|---|---|---|---|
| Coding | 15 | 3 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 12 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 9 | 1 | ||
| General | 25 | 1 | ||
| All shared boards | 73 | 5 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index153
| Benchmark | Gemini 3.7 Flash | Inkling Small | Leader |
|---|---|---|---|
| LiveBench coding | 80.5% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena WebDev | 1591 | 1409 | Gemini 3.7 Flash |
| AA Coding Index | 71.5 | 52.9 | Gemini 3.7 Flash |
| LiveCodeBench (Vals AI) | 88.7% | 85.9% | Gemini 3.7 Flash |
| SWE-bench Verified (Vals AI) | 80.8% | 82.2% | Inkling Small |
| Terminal-Bench 4 (Vals AI) | 12.1% | 0.0% | Gemini 3.7 Flash |
| Vibe Code Bench (Vals AI) | 70.4% | 19.1% | Gemini 3.7 Flash |
| Code migration (Vals AI) | 34.8% | 13.7% | Gemini 3.7 Flash |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Inkling Small |
| IOI (Vals AI) | 67.8% | 9.3% | Gemini 3.7 Flash |
| Terminal-Bench 2.1 (Vals AI) | 77.5% | 55.1% | Gemini 3.7 Flash |
| SkillsBench (Vals AI) | 65.9% | 33.6% | Gemini 3.7 Flash |
| CyberBench (Vals AI) | 43.8% | 64.1% | Inkling Small |
| SciCode | 59.8% | 49.7% | Gemini 3.7 Flash |
| FrontierCode | 43.6% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierSWE | 20.3% | Not measured | Only Gemini 3.7 Flash measured |
| ALE-Bench | 904.3 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: coding | 1499 | 1450 | Gemini 3.7 Flash |
| LMArena Text: software and IT | 1498 | 1447 | Gemini 3.7 Flash |
| LMArena WebDev: React | 1587 | 1399 | Gemini 3.7 Flash |
| LMArena WebDev: HTML | 1593 | 1398 | Gemini 3.7 Flash |
| LMArena WebDev: from an image | 1599 | 1410 | Gemini 3.7 Flash |
| SciCode | 13.8% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.7 Flash | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | 25.7 | Gemini 3.7 Flash |
| Epoch Capabilities Index | 158.0 | 150.3 | Gemini 3.7 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.7 Flash | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 23.5 | Only Inkling Small measured |
| Design Arena: agents building web apps | 1223 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building full-stack apps | 1208 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building mobile apps | 1229 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Android apps | 1243 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Godot games | 1264 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building games | 1235 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: spreadsheets | 1058 | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench research | 76.5% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench browser | 56.0% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench long agentic | 28.3% | Not measured | Only Gemini 3.7 Flash measured |
| SREBench (Vals AI) | 4.6% | Not measured | Only Gemini 3.7 Flash measured |
| Finance Agent (Vals AI) | 59.0% | 41.3% | Gemini 3.7 Flash |
| Tax Agent Bench (Vals AI) | 22.8% | 15.4% | Gemini 3.7 Flash |
| Legal Research Bench (Vals AI) | 34.6% | 25.5% | Gemini 3.7 Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 2.9% | Only Inkling Small measured |
| Excel Modeling Benchmark (Vals AI) | 71.3% | 31.8% | Gemini 3.7 Flash |
| Terminal-Bench-Science (Vals AI) | 7.1% | Not measured | Only Gemini 3.7 Flash measured |
| APEX-Agents | 67.8% | Not measured | Only Gemini 3.7 Flash measured |
| Remote Labor Index | 5.0% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Gemini 3.7 Flash | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | 93.9% | 83.6% | Gemini 3.7 Flash |
| LiveBench reasoning | 87.8% | Not measured | Only Gemini 3.7 Flash measured |
| MMMU Pro (Vals AI) | 89.0% | Not measured | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 94.5% | 89.5% | Gemini 3.7 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 47.9% | 33.3% | Gemini 3.7 Flash |
| GPQA Diamond (Epoch AI run) | 94.8% | 88.5% | Gemini 3.7 Flash |
| ARC-AGI | 95.5% | 84.0% | Gemini 3.7 Flash |
| ARC-AGI-2 | 84.6% | 40.1% | Gemini 3.7 Flash |
| Chess puzzles | 66.0% | Not measured | Only Gemini 3.7 Flash measured |
| Mystery game puzzles | 37.0% | 6.0% | Gemini 3.7 Flash |
| LMArena Text: hard prompts | 1495 | 1423 | Gemini 3.7 Flash |
| LMArena Text: expert | 1512 | 1441 | Gemini 3.7 Flash |
| LMArena Text: hard prompts in English | 1487 | 1429 | Gemini 3.7 Flash |
| LMArena Vision: diagrams | 1329 | 1251 | Gemini 3.7 Flash |
| LMArena Vision: homework | 1320 | 1257 | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 3.7 Flash | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.2% | 90.0% | Gemini 3.7 Flash |
| FrontierMath, tiers 1 to 3 | 71.6% | 46.3% | Gemini 3.7 Flash |
| FrontierMath, tier 4 | 36.6% | 17.1% | Gemini 3.7 Flash |
| ProofBench | 58.0% | 6.0% | Gemini 3.7 Flash |
| LMArena Text: math | 1511 | 1459 | Gemini 3.7 Flash |
| LMArena Text: mathematical work | 1502 | 1441 | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
| Benchmark | Gemini 3.7 Flash | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | 90.1% | 85.6% | Gemini 3.7 Flash |
| LegalBench (Vals AI) | 87.3% | 83.0% | Gemini 3.7 Flash |
| CorpFin (Vals AI) | Not measured | 69.6% | Only Inkling Small measured |
| TaxEval (Vals AI) | 74.7% | 75.5% | Inkling Small |
| MortgageTax (Vals AI) | 66.7% | 62.3% | Gemini 3.7 Flash |
| MedCode (Vals AI) | 53.4% | 37.9% | Gemini 3.7 Flash |
| SimpleQA Verified | 69.2% | 19.1% | Gemini 3.7 Flash |
| LMArena Text: science | 1511 | 1428 | Gemini 3.7 Flash |
| LMArena Text: medicine and healthcare | 1494 | 1413 | Gemini 3.7 Flash |
| LMArena Text: legal and government | 1496 | 1415 | Gemini 3.7 Flash |
| LMArena Text: business and finance | 1479 | 1413 | Gemini 3.7 Flash |
| FACTS Benchmark Suite | 71.2% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.7 Flash | Inkling Small | Leader |
|---|---|---|---|
| Design Arena: websites | 1303 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: UI components | 1296 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: game dev | 1317 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: data viz | 1315 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: 3D | 1307 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: all code categories | 1308 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: SVG | 1283 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: ASCII art | 1276 | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench design | 73.2% | Not measured | Only Gemini 3.7 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index251
| Benchmark | Gemini 3.7 Flash | Inkling Small | Leader |
|---|---|---|---|
| Vals Index | Not measured | 27.6% | Only Inkling Small measured |
| LiveBench data analysis | 68.0% | Not measured | Only Gemini 3.7 Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 59.4% | Only Inkling Small measured |
| SAGE (Vals AI) | 49.2% | 32.7% | Gemini 3.7 Flash |
| MedScribe (Vals AI) | 83.9% | 84.1% | Inkling Small |
| Vals Multimodal Index | Not measured | 50.0% | Only Inkling Small measured |
| Long context reasoning (AA-LCR) | 83.0% | 75.7% | Gemini 3.7 Flash |
| DTBench | 96.8% | Not measured | Only Gemini 3.7 Flash measured |
| LMCA | 50.4% | Not measured | Only Gemini 3.7 Flash measured |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text | 1489 | 1413 | Gemini 3.7 Flash |
| LMArena Text: instruction following | 1484 | 1399 | Gemini 3.7 Flash |
| LMArena Text: creative writing | 1488 | 1334 | Gemini 3.7 Flash |
| LMArena Vision | 1314 | 1237 | Gemini 3.7 Flash |
| LMArena Text: English | 1483 | 1421 | Gemini 3.7 Flash |
| LMArena Text: non-English | 1487 | 1401 | Gemini 3.7 Flash |
| LMArena Text: Chinese | 1552 | 1464 | Gemini 3.7 Flash |
| LMArena Text: German | 1506 | 1408 | Gemini 3.7 Flash |
| LMArena Text: Japanese | 1511 | 1401 | Gemini 3.7 Flash |
| LMArena Text: Korean | 1481 | 1367 | Gemini 3.7 Flash |
| LMArena Text: French | 1500 | 1435 | Gemini 3.7 Flash |
| LMArena Text: Spanish | 1495 | 1422 | Gemini 3.7 Flash |
| LMArena Text: Russian | 1515 | 1394 | Gemini 3.7 Flash |
| LMArena Text: Polish | 1503 | 1428 | Gemini 3.7 Flash |
| LMArena Text: multi-turn | 1485 | 1416 | Gemini 3.7 Flash |
| LMArena Text: longer queries | 1492 | 1402 | Gemini 3.7 Flash |
| LMArena Text: writing and language | 1491 | 1357 | Gemini 3.7 Flash |
| LMArena Text: entertainment and media | 1477 | 1352 | Gemini 3.7 Flash |
| LMArena Vision: English | 1309 | 1243 | Gemini 3.7 Flash |
| LMArena Vision: Chinese | 1394 | 1292 | Gemini 3.7 Flash |
| LMArena Vision: reading text | 1322 | 1243 | Gemini 3.7 Flash |
| LMArena Vision: humor | 1299 | 1207 | Gemini 3.7 Flash |
| LMArena Vision: creative writing | 1312 | 1205 | Gemini 3.7 Flash |
| 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 | Gemini 3.7 Flash | 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 | Google Gemini 3.7 Flash | Thinking Machines Inkling Small |
|---|---|---|
| Maker | Thinking Machines | |
| Weights | No public weights listed | Open weights |
| Released | August 13, 2026 | July 30, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $0.75 | $0.45 |
| Output $/Mtok | $3.75 | $1.20 |
| Coding index | 58.0 | 27.3 |
| Independent measurements behind it | 6 | 4 |
| Cost per solved task | $1.78 | $0.16 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.7 Flash better than Inkling Small for coding?
Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 27.3 for Inkling Small. Pick Inkling Small for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a lower cost per solved task ($0.16 against $1.78).
Which is cheaper, Gemini 3.7 Flash or Inkling Small?
Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Inkling Small costs $0.45 and $1.20. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Inkling Small $0.16.
Which has the bigger context window, Gemini 3.7 Flash or Inkling Small?
Gemini 3.7 Flash, with 1.05M tokens against 524K.
How many benchmarks is the Gemini 3.7 Flash vs Inkling Small comparison based on?
78 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 independent benchmarks and Inkling Small's on 4. Where only one model has a result, the page says so instead of naming a winner.