Gemini 3.5 Flash vs Inkling
Gemini 3.5 Flash leads Inkling on coding, 39.8 to 31.5 on the Vibe Coding Index, and Inkling costs 2.2x less per output token ($4.05 vs $9.00 per million). Updated October 21, 2026; 85 benchmarks have a result for both.
Gemini 3.5 Flash or Inkling: which to pick
Pick Gemini 3.5 Flash for coding: it scores 39.8 on the Vibe Coding Index against 31.5 for Inkling, though on 4 benchmarks against 6.
Pick Inkling for output tokens 2.2x cheaper ($4.05 vs $9.00 per million) and a lower cost per solved task ($0.76 against $1.21).
- Shared results
- 85
- Gemini 3.5 Flash only
- 27
- Inkling only
- 17
- 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
Gemini 3.5 Flash
Gemini 3.5 Flash scores 39.8 against 31.5.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 33.6 against 25.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Inkling has a AA Agentic Index result, 22.5.
Directional only
Reasoning
GPQA Diamond
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 92.7% against 87.1%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 89.5% against 86.3%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 1268 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
Gemini 3.5 Flash
Gemini 3.5 Flash takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling
Gemini 3.5 Flash $0.0060, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Inkling
Gemini 3.5 Flash $1.21, Inkling $0.76.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash 39.8 from 4 benchmarks, Inkling 31.5 from 6 benchmarks.
- Widest category
- Math, 16.5 points apart on average over 6 shared benchmarks.
- Widest single gap
- ARC-AGI-2: Gemini 3.5 Flash 72.1% against Inkling 36.5%, 35.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash $9.00 against Inkling $4.05 per million output tokens, 2.2x apart.
- Context window
- Gemini 3.5 Flash takes 1.05M 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 | Gemini 3.5 Flash | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 14 | 1 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 1 | ||
| Reasoning | 12 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 9 | 2 | ||
| Web design | 8 | 0 | ||
| General | 22 | 2 | ||
| All shared boards | 78 | 6 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index141
| Benchmark | Gemini 3.5 Flash | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | 1499 | 1414 | Gemini 3.5 Flash |
| AA Coding Index | Not measured | 52.1 | Only Inkling measured |
| LiveCodeBench (Vals AI) | 87.6% | 85.5% | Gemini 3.5 Flash |
| SWE-bench Verified (Vals AI) | 78.8% | 77.6% | Gemini 3.5 Flash |
| Terminal-Bench 4 (Vals AI) | 6.1% | 0.5% | Gemini 3.5 Flash |
| Vibe Code Bench (Vals AI) | 48.7% | 19.2% | Gemini 3.5 Flash |
| Code migration (Vals AI) | 26.8% | 11.8% | Gemini 3.5 Flash |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | Not measured | 14.9% | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | 74.2% | 47.6% | Gemini 3.5 Flash |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 7.3% | Only Inkling measured |
| SkillsBench (Vals AI) | 52.7% | 26.1% | Gemini 3.5 Flash |
| CyberBench (Vals AI) | Not measured | 66.8% | Only Inkling measured |
| SciCode | 53.9% | 47.0% | Gemini 3.5 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 46.2% | Not measured | Only Gemini 3.5 Flash measured |
| FrontierCode | Not measured | 14.0% | Only Inkling measured |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | 62.6% | 32.3% | Gemini 3.5 Flash |
| ALE-Bench | 911.0 | 946.0 | Inkling |
| LMArena Text: coding | 1493 | 1466 | Gemini 3.5 Flash |
| LMArena Text: software and IT | 1494 | 1465 | Gemini 3.5 Flash |
| LMArena WebDev: React | 1495 | 1404 | Gemini 3.5 Flash |
| LMArena WebDev: HTML | 1522 | 1399 | Gemini 3.5 Flash |
| LMArena WebDev: from an image | 1504 | Not measured | Only Gemini 3.5 Flash measured |
| SciCode | 12.3% | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.5 Flash | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 33.6 | 25.0 | Gemini 3.5 Flash |
| Epoch Capabilities Index | 154.9 | 148.4 | Gemini 3.5 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Gemini 3.5 Flash | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 22.5 | Only Inkling measured |
| Design Arena: agents building web apps | 1202 | 1196 | Gemini 3.5 Flash |
| Design Arena: agents building full-stack apps | 1197 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building mobile apps | 1174 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building Android apps | 1184 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building Godot games | 1098 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building games | 1180 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: HTML slides | 1142 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: PowerPoint slides | 1179 | Not measured | Only Gemini 3.5 Flash 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) | 57.9% | 46.6% | Gemini 3.5 Flash |
| Tax Agent Bench (Vals AI) | 21.6% | 15.3% | Gemini 3.5 Flash |
| Legal Research Bench (Vals AI) | 30.8% | 28.4% | Gemini 3.5 Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | 63.5% | 38.4% | Gemini 3.5 Flash |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Gemini 3.5 Flash measured |
| τ²-Bench Telecom | 95.6% | Not measured | Only Gemini 3.5 Flash measured |
| APEX-Agents | 27.5% | 33.8% | Inkling |
| Vending-Bench 2 | $5,396 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Gemini 3.5 Flash | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | 87.1% | Gemini 3.5 Flash |
| LiveBench reasoning | Not measured | 78.3% | Only Inkling measured |
| MMMU Pro (Vals AI) | 88.3% | 78.5% | Gemini 3.5 Flash |
| GPQA Diamond (Artificial Analysis run) | 92.2% | 87.2% | Gemini 3.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 31.9% | Gemini 3.5 Flash |
| GPQA Diamond (Epoch AI run) | 92.8% | 88.3% | Gemini 3.5 Flash |
| ARC-AGI | 92.5% | 79.5% | Gemini 3.5 Flash |
| ARC-AGI-2 | 72.1% | 36.5% | Gemini 3.5 Flash |
| SimpleBench | 76.7% | 50.0% | Gemini 3.5 Flash |
| Chess puzzles | 45.0% | 21.0% | Gemini 3.5 Flash |
| Mystery game puzzles | 32.0% | Not measured | Only Gemini 3.5 Flash measured |
| EBR-bench | 4.8% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: hard prompts | 1488 | 1451 | Gemini 3.5 Flash |
| LMArena Text: expert | 1495 | 1466 | Gemini 3.5 Flash |
| LMArena Text: hard prompts in English | 1483 | 1448 | Gemini 3.5 Flash |
| LMArena Vision: diagrams | 1323 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: homework | 1330 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 3.5 Flash | Inkling | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | 88.9% | Gemini 3.5 Flash |
| FrontierMath, tiers 1 to 3 | 62.8% | 33.3% | Gemini 3.5 Flash |
| FrontierMath, tier 4 | 26.8% | 4.9% | Gemini 3.5 Flash |
| ProofBench | 31.0% | 0.0% | Gemini 3.5 Flash |
| LMArena Text: math | 1504 | 1479 | Gemini 3.5 Flash |
| LMArena Text: mathematical work | 1495 | 1460 | Gemini 3.5 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index92
| Benchmark | Gemini 3.5 Flash | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | 89.5% | 86.3% | Gemini 3.5 Flash |
| LegalBench (Vals AI) | 83.6% | 83.0% | Gemini 3.5 Flash |
| CorpFin (Vals AI) | 64.7% | 68.6% | Inkling |
| TaxEval (Vals AI) | 74.4% | 75.3% | Inkling |
| MortgageTax (Vals AI) | 68.1% | 64.0% | Gemini 3.5 Flash |
| MedCode (Vals AI) | 55.8% | 41.2% | Gemini 3.5 Flash |
| SimpleQA Verified | 66.2% | 40.3% | Gemini 3.5 Flash |
| LMArena Text: science | 1495 | 1455 | Gemini 3.5 Flash |
| LMArena Text: medicine and healthcare | 1483 | 1447 | Gemini 3.5 Flash |
| LMArena Text: legal and government | 1488 | 1448 | Gemini 3.5 Flash |
| LMArena Text: business and finance | 1467 | 1438 | Gemini 3.5 Flash |
| FACTS Benchmark Suite | 63.1% | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.5 Flash | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | 1224 | Gemini 3.5 Flash |
| Design Arena: UI components | 1273 | 1201 | Gemini 3.5 Flash |
| Design Arena: game dev | 1263 | 1166 | Gemini 3.5 Flash |
| Design Arena: data viz | 1236 | 1159 | Gemini 3.5 Flash |
| Design Arena: 3D | 1244 | 1161 | Gemini 3.5 Flash |
| Design Arena: all code categories | 1266 | 1206 | Gemini 3.5 Flash |
| Design Arena: SVG | 1254 | 1110 | Gemini 3.5 Flash |
| Design Arena: ASCII art | 1254 | 1089 | Gemini 3.5 Flash |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index222
| Benchmark | Gemini 3.5 Flash | 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) | 59.5% | 58.5% | Gemini 3.5 Flash |
| SAGE (Vals AI) | 49.9% | 36.5% | Gemini 3.5 Flash |
| MedScribe (Vals AI) | 76.6% | 85.4% | Inkling |
| Vals Multimodal Index | 62.9% | 49.4% | Gemini 3.5 Flash |
| IFBench | 76.3% | Not measured | Only Gemini 3.5 Flash measured |
| Long context reasoning (AA-LCR) | 74.3% | 77.3% | Inkling |
| DTBench | 94.7% | 87.5% | Gemini 3.5 Flash |
| LMCA | 47.1% | 37.6% | Gemini 3.5 Flash |
| Surface Evolver Bench | 58.1% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text | 1482 | 1442 | Gemini 3.5 Flash |
| LMArena Text: instruction following | 1467 | 1425 | Gemini 3.5 Flash |
| LMArena Text: creative writing | 1470 | 1390 | Gemini 3.5 Flash |
| LMArena Vision | 1308 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: English | 1481 | 1442 | Gemini 3.5 Flash |
| LMArena Text: non-English | 1475 | 1434 | Gemini 3.5 Flash |
| LMArena Text: Chinese | 1527 | 1493 | Gemini 3.5 Flash |
| LMArena Text: German | 1494 | 1445 | Gemini 3.5 Flash |
| LMArena Text: Japanese | 1486 | 1429 | Gemini 3.5 Flash |
| LMArena Text: Korean | 1448 | 1403 | Gemini 3.5 Flash |
| LMArena Text: French | 1490 | 1455 | Gemini 3.5 Flash |
| LMArena Text: Spanish | 1480 | 1449 | Gemini 3.5 Flash |
| LMArena Text: Russian | 1493 | 1430 | Gemini 3.5 Flash |
| LMArena Text: Polish | 1516 | 1450 | Gemini 3.5 Flash |
| LMArena Text: multi-turn | 1481 | 1437 | Gemini 3.5 Flash |
| LMArena Text: longer queries | 1483 | 1435 | Gemini 3.5 Flash |
| LMArena Text: writing and language | 1478 | 1404 | Gemini 3.5 Flash |
| LMArena Text: entertainment and media | 1459 | 1394 | Gemini 3.5 Flash |
| LMArena Vision: English | 1305 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: Chinese | 1377 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: reading text | 1317 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: creative writing | 1301 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Document | 1463 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash | 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
Inkling costs less
Repository review
50K input + 3K output tokens
Inkling costs less
Agent loop
200K input + 10K output tokens
Inkling 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 3.5 Flash | Thinking Machines Inkling |
|---|---|---|
| Maker | Thinking Machines | |
| Weights | No public weights listed | Open weights |
| Released | May 19, 2026 | July 17, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $1.50 | $0.975 |
| Output $/Mtok | $9.00 | $4.05 |
| Coding index | 39.8 | 31.5 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | $1.21 | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash better than Inkling for coding?
Pick Gemini 3.5 Flash for coding: it scores 39.8 on the Vibe Coding Index against 31.5 for Inkling, though on 4 benchmarks against 6. Pick Inkling for output tokens 2.2x cheaper ($4.05 vs $9.00 per million) and a lower cost per solved task ($0.76 against $1.21).
Which is cheaper, Gemini 3.5 Flash or Inkling?
Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and Inkling $0.76.
Which has the bigger context window, Gemini 3.5 Flash or Inkling?
Gemini 3.5 Flash, with 1.05M tokens against 524K.
How many benchmarks is the Gemini 3.5 Flash vs Inkling comparison based on?
85 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 4 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.