Gemini 3.6 Flash vs Kimi K2.6
Gemini 3.6 Flash leads Kimi K2.6 on coding, 62.5 to 52.1 on the Vibe Coding Index, at about the same output price ($3.75 vs $4.00 per million). Updated October 22, 2026; 99 benchmarks have a result for both.
Gemini 3.6 Flash or Kimi K2.6: which to pick
Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 52.1 for Kimi K2.6.
Pick Kimi K2.6 for a lower cost per solved task ($0.35 against $1.49) and work measured by ALE-Bench or Design Arena: agents building web apps, where it leads.
- Shared results
- 99
- Gemini 3.6 Flash only
- 10
- Kimi K2.6 only
- 10
- 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 3.6 Flash
Gemini 3.6 Flash scores 62.5 against 52.1.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 34.0 against 27.0.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 29.0 against 20.5.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 93.4% against 89.1%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 89.3% against 87.6%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 1300 against 1268.
Same board, both measured
Long documents
Listed context window
Gemini 3.6 Flash
Gemini 3.6 Flash takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.6 Flash
Gemini 3.6 Flash $0.0026, Kimi K2.6 $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.6
Gemini 3.6 Flash $1.49, Kimi K2.6 $0.35.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.6 Flash 62.5 from 4 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
- Widest category
- Agentic work, 7.9 points apart on average over 13 shared benchmarks.
- Widest single gap
- SimpleQA Verified: Gemini 3.6 Flash 66.2% against Kimi K2.6 34.9%, 31.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.6 Flash $3.75 against Kimi K2.6 $4.00 per million output tokens, 1.1x apart.
- Context window
- Gemini 3.6 Flash takes 1.05M tokens, Kimi K2.6 262K.
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 3.6 Flash | Bars | Kimi K2.6 | Ties |
|---|---|---|---|---|
| Coding | 14 | 1 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 10 | 3 | ||
| Reasoning | 11 | 1 | ||
| Math | 4 | 2 | ||
| Knowledge | 10 | 1 | ||
| Web design | 7 | 0 | ||
| General | 29 | 3 | ||
| All shared boards | 87 | 11 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index141
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Leader |
|---|---|---|---|
| LMArena WebDev | 1538 | 1509 | Gemini 3.6 Flash |
| AA Coding Index | 69.2 | 61.8 | Gemini 3.6 Flash |
| LiveCodeBench (Vals AI) | 88.1% | 86.8% | Gemini 3.6 Flash |
| SWE-bench Verified (Vals AI) | 79.6% | 76.2% | Gemini 3.6 Flash |
| Vibe Code Bench (Vals AI) | 64.0% | 37.9% | Gemini 3.6 Flash |
| Code migration (Vals AI) | 30.9% | 27.8% | Gemini 3.6 Flash |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 35.1% | Not measured | Only Gemini 3.6 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 73.8% | 53.6% | Gemini 3.6 Flash |
| CyberBench (Vals AI) | 45.4% | Not measured | Only Gemini 3.6 Flash measured |
| SciCode | 53.4% | 51.5% | Gemini 3.6 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.9% | Only Kimi K2.6 measured |
| FrontierCode | 34.4% | Not measured | Only Gemini 3.6 Flash measured |
| WeirdML | 56.1% | 55.9% | Gemini 3.6 Flash |
| ALE-Bench | 715.5 | 1092.7 | Kimi K2.6 |
| LMArena Text: coding | 1491 | 1489 | Gemini 3.6 Flash |
| LMArena Text: software and IT | 1492 | 1484 | Gemini 3.6 Flash |
| LMArena WebDev: React | 1528 | 1505 | Gemini 3.6 Flash |
| LMArena WebDev: HTML | 1547 | 1485 | Gemini 3.6 Flash |
| LMArena WebDev: from an image | 1545 | 1521 | Gemini 3.6 Flash |
| SciCode | 10.8% | Not measured | Only Gemini 3.6 Flash 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 | Gemini 3.6 Flash | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.0 | 27.0 | Gemini 3.6 Flash |
| Epoch Capabilities Index | 154.5 | 150.9 | Gemini 3.6 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index103
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Agentic Index | 29.0 | 20.5 | Gemini 3.6 Flash |
| Design Arena: agents building web apps | 1197 | 1268 | Kimi K2.6 |
| Design Arena: agents building full-stack apps | 1181 | 1155 | Gemini 3.6 Flash |
| Design Arena: agents building mobile apps | 1198 | 1156 | Gemini 3.6 Flash |
| Design Arena: agents building Android apps | 1204 | 1161 | Gemini 3.6 Flash |
| Design Arena: agents building Godot games | Not measured | 1120 | Only Kimi K2.6 measured |
| Design Arena: agents building games | 1180 | 1141 | Gemini 3.6 Flash |
| Design Arena: HTML slides | 1099 | 1135 | Kimi K2.6 |
| Design Arena: PowerPoint slides | 1121 | 1103 | Gemini 3.6 Flash |
| Design Arena: spreadsheets | 1071 | 1276 | Kimi K2.6 |
| Finance Agent (Vals AI) | 56.3% | 44.9% | Gemini 3.6 Flash |
| Tax Agent Bench (Vals AI) | 18.0% | 12.4% | Gemini 3.6 Flash |
| Legal Research Bench (Vals AI) | 25.0% | 15.9% | Gemini 3.6 Flash |
| Excel Modeling Benchmark (Vals AI) | 65.4% | 57.9% | Gemini 3.6 Flash |
| BioMysteryBench (Vals AI) | 58.5% | Not measured | Only Gemini 3.6 Flash measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only Gemini 3.6 Flash measured |
| τ²-Bench Telecom | Not measured | 95.9% | Only Kimi K2.6 measured |
| APEX-Agents | 46.9% | Not measured | Only Gemini 3.6 Flash measured |
| OSWorld 2.0 | Not measured | 4.6% | Only Kimi K2.6 measured |
| Vending-Bench 2 | Not measured | $6,205 | Only Kimi K2.6 measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index111
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Leader |
|---|---|---|---|
| GPQA Diamond | 93.4% | 89.1% | Gemini 3.6 Flash |
| MMMU Pro (Vals AI) | 88.4% | 86.3% | Gemini 3.6 Flash |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 91.1% | Gemini 3.6 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 40.8% | 37.5% | Gemini 3.6 Flash |
| GPQA Diamond (Epoch AI run) | 94.1% | 90.8% | Gemini 3.6 Flash |
| ARC-AGI | 91.2% | Not measured | Only Gemini 3.6 Flash measured |
| ARC-AGI-2 | 60.4% | Not measured | Only Gemini 3.6 Flash measured |
| Chess puzzles | 42.0% | 20.0% | Gemini 3.6 Flash |
| Mystery game puzzles | 30.0% | 18.0% | Gemini 3.6 Flash |
| EBR-bench | Not measured | 2.4% | Only Kimi K2.6 measured |
| LMArena Text: hard prompts | 1486 | 1470 | Gemini 3.6 Flash |
| LMArena Text: expert | 1490 | 1491 | Kimi K2.6 |
| LMArena Text: hard prompts in English | 1484 | 1471 | Gemini 3.6 Flash |
| LMArena Vision: diagrams | 1314 | 1298 | Gemini 3.6 Flash |
| LMArena Vision: homework | 1314 | 1310 | Gemini 3.6 Flash |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.2% | 96.1% | Kimi K2.6 |
| FrontierMath, tiers 1 to 3 | 58.9% | 57.2% | Gemini 3.6 Flash |
| FrontierMath, tier 4 | 22.0% | 25.6% | Kimi K2.6 |
| ProofBench | 36.0% | 16.0% | Gemini 3.6 Flash |
| LMArena Text: math | 1508 | 1474 | Gemini 3.6 Flash |
| LMArena Text: mathematical work | 1492 | 1480 | Gemini 3.6 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index101
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Leader |
|---|---|---|---|
| MMLU Pro | 89.3% | 87.6% | Gemini 3.6 Flash |
| LegalBench (Vals AI) | 86.7% | 84.7% | Gemini 3.6 Flash |
| CaseLaw (Vals AI) | Not measured | 61.2% | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | 63.3% | 66.7% | Kimi K2.6 |
| TaxEval (Vals AI) | 74.9% | 74.7% | Gemini 3.6 Flash |
| MortgageTax (Vals AI) | 67.6% | 65.8% | Gemini 3.6 Flash |
| MedCode (Vals AI) | 53.1% | 40.1% | Gemini 3.6 Flash |
| SimpleQA Verified | 66.2% | 34.9% | Gemini 3.6 Flash |
| LMArena Text: science | 1489 | 1468 | Gemini 3.6 Flash |
| LMArena Text: medicine and healthcare | 1469 | 1457 | Gemini 3.6 Flash |
| LMArena Text: legal and government | 1479 | 1462 | Gemini 3.6 Flash |
| LMArena Text: business and finance | 1464 | 1445 | Gemini 3.6 Flash |
| FACTS Benchmark Suite | 65.3% | Not measured | Only Gemini 3.6 Flash measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Leader |
|---|---|---|---|
| Design Arena: websites | 1300 | 1268 | Gemini 3.6 Flash |
| Design Arena: UI components | 1294 | 1263 | Gemini 3.6 Flash |
| Design Arena: game dev | 1263 | 1250 | Gemini 3.6 Flash |
| Design Arena: data viz | 1289 | 1249 | Gemini 3.6 Flash |
| Design Arena: 3D | 1271 | 1267 | Gemini 3.6 Flash |
| Design Arena: all code categories | 1289 | 1271 | Gemini 3.6 Flash |
| Design Arena: SVG | Not measured | 1181 | Only Kimi K2.6 measured |
| Design Arena: ASCII art | 1281 | 1165 | Gemini 3.6 Flash |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index293
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 56.6% | 56.6% | Kimi K2.6 |
| SAGE (Vals AI) | 48.7% | 50.2% | Kimi K2.6 |
| MedScribe (Vals AI) | 79.7% | 78.2% | Gemini 3.6 Flash |
| Vals Multimodal Index | 65.1% | 56.4% | Gemini 3.6 Flash |
| IFBench | Not measured | 76.0% | Only Kimi K2.6 measured |
| Long context reasoning (AA-LCR) | 80.0% | 81.0% | Kimi K2.6 |
| DTBench | 95.5% | 90.9% | Gemini 3.6 Flash |
| LMCA | 44.9% | 37.3% | Gemini 3.6 Flash |
| Furniture assembly | 23.3% | 21.7% | Gemini 3.6 Flash |
| ExploitBench | Not measured | 18.4% | Only Kimi K2.6 measured |
| LMArena Text | 1480 | 1455 | Gemini 3.6 Flash |
| LMArena Text: instruction following | 1467 | 1451 | Gemini 3.6 Flash |
| LMArena Text: creative writing | 1466 | 1434 | Gemini 3.6 Flash |
| LMArena Vision | 1299 | 1282 | Gemini 3.6 Flash |
| LMArena Text: English | 1482 | 1460 | Gemini 3.6 Flash |
| LMArena Text: non-English | 1470 | 1446 | Gemini 3.6 Flash |
| LMArena Text: Chinese | 1531 | 1520 | Gemini 3.6 Flash |
| LMArena Text: German | 1480 | 1451 | Gemini 3.6 Flash |
| LMArena Text: Japanese | 1475 | 1443 | Gemini 3.6 Flash |
| LMArena Text: Korean | 1429 | 1427 | Gemini 3.6 Flash |
| LMArena Text: French | 1503 | 1471 | Gemini 3.6 Flash |
| LMArena Text: Spanish | 1476 | 1464 | Gemini 3.6 Flash |
| LMArena Text: Russian | 1488 | 1446 | Gemini 3.6 Flash |
| LMArena Text: Polish | 1473 | 1438 | Gemini 3.6 Flash |
| LMArena Text: multi-turn | 1481 | 1453 | Gemini 3.6 Flash |
| LMArena Text: longer queries | 1475 | 1468 | Gemini 3.6 Flash |
| LMArena Text: writing and language | 1470 | 1439 | Gemini 3.6 Flash |
| LMArena Text: entertainment and media | 1456 | 1428 | Gemini 3.6 Flash |
| LMArena Vision: English | 1295 | 1287 | Gemini 3.6 Flash |
| LMArena Vision: Chinese | 1357 | 1346 | Gemini 3.6 Flash |
| LMArena Vision: reading text | 1312 | 1291 | Gemini 3.6 Flash |
| LMArena Vision: humor | 1289 | 1280 | Gemini 3.6 Flash |
| LMArena Vision: creative writing | 1278 | 1273 | Gemini 3.6 Flash |
| LMArena Document | 1456 | 1451 | Gemini 3.6 Flash |
| 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 | Gemini 3.6 Flash | Kimi K2.6 | 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
Gemini 3.6 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 3.6 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 3.6 Flash 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 3.6 Flash | MoonshotAI Kimi K2.6 |
|---|---|---|
| Maker | Moonshot AI | |
| Weights | No public weights listed | Open weights |
| Released | July 21, 2026 | April 20, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.75 | $0.95 |
| Output $/Mtok | $3.75 | $4.00 |
| Coding index | 62.5 | 52.1 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | $1.49 | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.6 Flash better than Kimi K2.6 for coding?
Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 52.1 for Kimi K2.6. Pick Kimi K2.6 for a lower cost per solved task ($0.35 against $1.49) and work measured by ALE-Bench or Design Arena: agents building web apps, where it leads.
Which is cheaper, Gemini 3.6 Flash or Kimi K2.6?
Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and Kimi K2.6 $0.35.
Which has the bigger context window, Gemini 3.6 Flash or Kimi K2.6?
Gemini 3.6 Flash, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.6 Flash vs Kimi K2.6 comparison based on?
99 benchmarks have a result for both models as of October 22, 2026. Gemini 3.6 Flash's coding index rests on 4 independent benchmarks and Kimi K2.6's on 3. Where only one model has a result, the page says so instead of naming a winner.