Gemini 3.6 Flash vs Kimi K2.7 Code
Gemini 3.6 Flash leads Kimi K2.7 Code on coding, 62.5 to 53.4 on the Vibe Coding Index, at about the same output price ($3.75 vs $4.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.
Gemini 3.6 Flash or Kimi K2.7 Code: which to pick
Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code.
Pick Kimi K2.7 Code for a lower cost per solved task ($0.35 against $1.49) and work measured by ALE-Bench or Design Arena: HTML slides, where it leads.
- Shared results
- 42
- Gemini 3.6 Flash only
- 67
- Kimi K2.7 Code only
- 9
- 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 53.4.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 34.0 against 25.8.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 29.0 against 21.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.6 Flash has a GPQA Diamond result, 93.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.6 Flash has a MMLU Pro result, 89.3%.
Directional only
Web design
Design Arena: websites
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 1300 against 1263.
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 K2.7 Code $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
Gemini 3.6 Flash $1.49, Kimi K2.7 Code $0.35.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.6 Flash 62.5 from 4 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
- Widest category
- Knowledge, 29.7 points apart on average over 1 shared benchmark.
- Widest single gap
- SimpleQA Verified: Gemini 3.6 Flash 66.2% against Kimi K2.7 Code 36.5%, 29.7 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.6 Flash $3.75 against Kimi K2.7 Code $4.00 per million output tokens, 1.1x apart.
- Context window
- Gemini 3.6 Flash takes 1.05M tokens, Kimi K2.7 Code 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 K2.7 Code | Ties |
|---|---|---|---|---|
| Coding | 13 | 1 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 7 | 2 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 1 | ||
| Knowledge | 1 | 0 | ||
| Web design | 7 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 37 | 4 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index131
| Benchmark | Gemini 3.6 Flash | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LMArena WebDev | 1538 | 1474 | Gemini 3.6 Flash |
| AA Coding Index | 69.2 | 60.8 | Gemini 3.6 Flash |
| LiveCodeBench (Vals AI) | 88.1% | 82.0% | Gemini 3.6 Flash |
| SWE-bench Verified (Vals AI) | 79.6% | 78.2% | Gemini 3.6 Flash |
| Vibe Code Bench (Vals AI) | 64.0% | 47.2% | Gemini 3.6 Flash |
| Code migration (Vals AI) | 30.9% | 25.4% | 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% | 67.0% | Gemini 3.6 Flash |
| SkillsBench (Vals AI) | Not measured | 50.0% | Only Kimi K2.7 Code measured |
| CyberBench (Vals AI) | 45.4% | Not measured | Only Gemini 3.6 Flash measured |
| SciCode | 53.4% | 47.8% | Gemini 3.6 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 44.7% | Only Kimi K2.7 Code measured |
| FrontierCode | 34.4% | 30.1% | Gemini 3.6 Flash |
| WeirdML | 56.1% | 54.1% | Gemini 3.6 Flash |
| ALE-Bench | 715.5 | 886.2 | Kimi K2.7 Code |
| LMArena Text: coding | 1491 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: software and IT | 1492 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena WebDev: React | 1528 | 1475 | Gemini 3.6 Flash |
| LMArena WebDev: HTML | 1547 | 1451 | Gemini 3.6 Flash |
| LMArena WebDev: from an image | 1545 | 1513 | Gemini 3.6 Flash |
| SciCode | 10.8% | Not measured | Only Gemini 3.6 Flash measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.6 Flash | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.0 | 25.8 | Gemini 3.6 Flash |
| Epoch Capabilities Index | 154.5 | 150.1 | Gemini 3.6 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index72
| Benchmark | Gemini 3.6 Flash | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Agentic Index | 29.0 | 21.0 | Gemini 3.6 Flash |
| Design Arena: agents building web apps | 1197 | 1176 | Gemini 3.6 Flash |
| Design Arena: agents building full-stack apps | 1181 | 1175 | Gemini 3.6 Flash |
| Design Arena: agents building mobile apps | 1198 | 1143 | Gemini 3.6 Flash |
| Design Arena: agents building Android apps | 1204 | 1138 | Gemini 3.6 Flash |
| Design Arena: agents building Godot games | Not measured | 1147 | Only Kimi K2.7 Code measured |
| Design Arena: agents building games | 1180 | 1130 | Gemini 3.6 Flash |
| Design Arena: HTML slides | 1099 | 1151 | Kimi K2.7 Code |
| Design Arena: PowerPoint slides | 1121 | 1129 | Kimi K2.7 Code |
| Design Arena: spreadsheets | 1071 | Not measured | Only Gemini 3.6 Flash measured |
| Finance Agent (Vals AI) | 56.3% | Not measured | Only Gemini 3.6 Flash measured |
| Tax Agent Bench (Vals AI) | 18.0% | Not measured | Only Gemini 3.6 Flash measured |
| Legal Research Bench (Vals AI) | 25.0% | Not measured | Only Gemini 3.6 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 65.4% | Not measured | Only Gemini 3.6 Flash measured |
| 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 | 90.1% | Only Kimi K2.7 Code measured |
| APEX-Agents | 46.9% | 37.6% | Gemini 3.6 Flash |
| Vending-Bench 2 | Not measured | $5,083 | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.6 Flash | Kimi K2.7 Code | Leader |
|---|---|---|---|
| GPQA Diamond | 93.4% | Not measured | Only Gemini 3.6 Flash measured |
| MMMU Pro (Vals AI) | 88.4% | Not measured | Only Gemini 3.6 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 89.6% | Gemini 3.6 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 40.8% | 35.0% | Gemini 3.6 Flash |
| GPQA Diamond (Epoch AI run) | 94.1% | 87.9% | 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 |
| SimpleBench | Not measured | 57.9% | Only Kimi K2.7 Code measured |
| Chess puzzles | 42.0% | 14.0% | Gemini 3.6 Flash |
| Mystery game puzzles | 30.0% | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: hard prompts | 1486 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: expert | 1490 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: hard prompts in English | 1484 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Vision: diagrams | 1314 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Vision: homework | 1314 | Not measured | Only Gemini 3.6 Flash measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemini 3.6 Flash | Kimi K2.7 Code | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.2% | 95.6% | Kimi K2.7 Code |
| FrontierMath, tiers 1 to 3 | 58.9% | 54.0% | Gemini 3.6 Flash |
| FrontierMath, tier 4 | 22.0% | 12.2% | Gemini 3.6 Flash |
| ProofBench | 36.0% | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: math | 1508 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: mathematical work | 1492 | Not measured | Only Gemini 3.6 Flash measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.6 Flash | Kimi K2.7 Code | Leader |
|---|---|---|---|
| MMLU Pro | 89.3% | Not measured | Only Gemini 3.6 Flash measured |
| LegalBench (Vals AI) | 86.7% | Not measured | Only Gemini 3.6 Flash measured |
| CorpFin (Vals AI) | 63.3% | Not measured | Only Gemini 3.6 Flash measured |
| TaxEval (Vals AI) | 74.9% | Not measured | Only Gemini 3.6 Flash measured |
| MortgageTax (Vals AI) | 67.6% | Not measured | Only Gemini 3.6 Flash measured |
| MedCode (Vals AI) | 53.1% | Not measured | Only Gemini 3.6 Flash measured |
| SimpleQA Verified | 66.2% | 36.5% | Gemini 3.6 Flash |
| LMArena Text: science | 1489 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: medicine and healthcare | 1469 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: legal and government | 1479 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: business and finance | 1464 | Not measured | Only Gemini 3.6 Flash measured |
| FACTS Benchmark Suite | 65.3% | Not measured | Only Gemini 3.6 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 index70
| Benchmark | Gemini 3.6 Flash | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Design Arena: websites | 1300 | 1263 | Gemini 3.6 Flash |
| Design Arena: UI components | 1294 | 1255 | Gemini 3.6 Flash |
| Design Arena: game dev | 1263 | 1220 | Gemini 3.6 Flash |
| Design Arena: data viz | 1289 | 1227 | Gemini 3.6 Flash |
| Design Arena: 3D | 1271 | 1240 | Gemini 3.6 Flash |
| Design Arena: all code categories | 1289 | 1252 | Gemini 3.6 Flash |
| Design Arena: SVG | Not measured | 1176 | Only Kimi K2.7 Code measured |
| Design Arena: ASCII art | 1281 | 1196 | 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 index10
| Benchmark | Gemini 3.6 Flash | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 56.6% | Not measured | Only Gemini 3.6 Flash measured |
| SAGE (Vals AI) | 48.7% | Not measured | Only Gemini 3.6 Flash measured |
| MedScribe (Vals AI) | 79.7% | Not measured | Only Gemini 3.6 Flash measured |
| Vals Multimodal Index | 65.1% | Not measured | Only Gemini 3.6 Flash measured |
| IFBench | Not measured | 63.1% | Only Kimi K2.7 Code measured |
| Long context reasoning (AA-LCR) | 80.0% | 79.3% | Gemini 3.6 Flash |
| DTBench | 95.5% | Not measured | Only Gemini 3.6 Flash measured |
| LMCA | 44.9% | Not measured | Only Gemini 3.6 Flash measured |
| Surface Evolver Bench | Not measured | 48.8% | Only Kimi K2.7 Code measured |
| Furniture assembly | 23.3% | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text | 1480 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: instruction following | 1467 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: creative writing | 1466 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Vision | 1299 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: English | 1482 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: non-English | 1470 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: Chinese | 1531 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: German | 1480 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: Japanese | 1475 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: Korean | 1429 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: French | 1503 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: Spanish | 1476 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: Russian | 1488 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: Polish | 1473 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: multi-turn | 1481 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: longer queries | 1475 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: writing and language | 1470 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: entertainment and media | 1456 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Vision: English | 1295 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Vision: Chinese | 1357 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Vision: reading text | 1312 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Vision: humor | 1289 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Vision: creative writing | 1278 | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Document | 1456 | Not measured | Only Gemini 3.6 Flash measured |
| 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 K2.7 Code | 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 K2.7 Code |
|---|---|---|
| Maker | Moonshot AI | |
| Weights | No public weights listed | Open weights |
| Released | July 21, 2026 | June 12, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.75 | $0.95 |
| Output $/Mtok | $3.75 | $4.00 |
| Coding index | 62.5 | 53.4 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | $1.49 | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.6 Flash better than Kimi K2.7 Code for coding?
Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code. Pick Kimi K2.7 Code for a lower cost per solved task ($0.35 against $1.49) and work measured by ALE-Bench or Design Arena: HTML slides, where it leads.
Which is cheaper, Gemini 3.6 Flash or Kimi K2.7 Code?
Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and Kimi K2.7 Code $0.35.
Which has the bigger context window, Gemini 3.6 Flash or Kimi K2.7 Code?
Gemini 3.6 Flash, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.6 Flash vs Kimi K2.7 Code comparison based on?
42 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 K2.7 Code's on 4. Where only one model has a result, the page says so instead of naming a winner.