Gemini 3.5 Flash Lite vs Kimi K2.6
Kimi K2.6 leads Gemini 3.5 Flash Lite on coding, 52.1 to 49.0 on the Vibe Coding Index, and Gemini 3.5 Flash Lite costs 1.6x less per output token ($2.50 vs $4.00 per million). Updated October 22, 2026; 79 benchmarks have a result for both.
Gemini 3.5 Flash Lite or Kimi K2.6: which to pick
Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite.
Pick Gemini 3.5 Flash Lite for output tokens 1.6x cheaper ($2.50 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).
- Shared results
- 79
- Gemini 3.5 Flash Lite only
- 6
- Kimi K2.6 only
- 30
- 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
Kimi K2.6
Kimi K2.6 scores 52.1 against 49.0.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
Kimi K2.6
Kimi K2.6 leads, 27.0 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K2.6
Kimi K2.6 leads, 20.5 against 14.3.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K2.6
Kimi K2.6 leads, 89.1% against 83.8%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K2.6
Kimi K2.6 leads, 87.6% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Kimi K2.6 has a Design Arena: websites result, 1268.
Directional only
Long documents
Listed context window
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite $0.0015, Kimi K2.6 $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.6
Gemini 3.5 Flash Lite $0.41, Kimi K2.6 $0.35.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
- Widest category
- Math, 16.6 points apart on average over 6 shared benchmarks.
- Widest single gap
- FrontierMath, tiers 1 to 3: Gemini 3.5 Flash Lite 26.0% against Kimi K2.6 57.2%, 31.2 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash Lite $2.50 against Kimi K2.6 $4.00 per million output tokens, 1.6x apart.
- Context window
- Gemini 3.5 Flash Lite 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 3.5 Flash Lite | Bars | Kimi K2.6 | Ties |
|---|---|---|---|---|
| Coding | 0 | 14 | 1 tie | |
| Intelligence | 0 | 2 | ||
| Agentic work | 1 | 4 | ||
| Reasoning | 2 | 10 | ||
| Math | 0 | 6 | ||
| Knowledge | 2 | 8 | ||
| General | 3 | 26 | ||
| All shared boards | 8 | 70 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index014
| Benchmark | Gemini 3.5 Flash Lite | Kimi K2.6 | Leader |
|---|---|---|---|
| LMArena WebDev | 1435 | 1509 | Kimi K2.6 |
| AA Coding Index | 49.3 | 61.8 | Kimi K2.6 |
| LiveCodeBench (Vals AI) | 79.0% | 86.8% | Kimi K2.6 |
| SWE-bench Verified (Vals AI) | 75.0% | 76.2% | Kimi K2.6 |
| Vibe Code Bench (Vals AI) | 37.2% | 37.9% | Kimi K2.6 |
| Code migration (Vals AI) | 6.2% | 27.8% | Kimi K2.6 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | 53.6% | Kimi K2.6 |
| CyberBench (Vals AI) | 59.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SciCode | 41.3% | 51.5% | Kimi K2.6 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.9% | Only Kimi K2.6 measured |
| WeirdML | 39.0% | 55.9% | Kimi K2.6 |
| ALE-Bench | 765.3 | 1092.7 | Kimi K2.6 |
| LMArena Text: coding | 1453 | 1489 | Kimi K2.6 |
| LMArena Text: software and IT | 1451 | 1484 | Kimi K2.6 |
| LMArena WebDev: React | 1408 | 1505 | Kimi K2.6 |
| LMArena WebDev: HTML | Not measured | 1485 | Only Kimi K2.6 measured |
| LMArena WebDev: from an image | 1448 | 1521 | Kimi K2.6 |
| SciCode | 6.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 3.5 Flash Lite | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.2 | 27.0 | Kimi K2.6 |
| Epoch Capabilities Index | 144.9 | 150.9 | Kimi K2.6 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Gemini 3.5 Flash Lite | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Agentic Index | 14.3 | 20.5 | Kimi K2.6 |
| Design Arena: agents building web apps | Not measured | 1268 | Only Kimi K2.6 measured |
| Design Arena: agents building full-stack apps | Not measured | 1155 | Only Kimi K2.6 measured |
| Design Arena: agents building mobile apps | Not measured | 1156 | Only Kimi K2.6 measured |
| Design Arena: agents building Android apps | Not measured | 1161 | Only Kimi K2.6 measured |
| Design Arena: agents building Godot games | Not measured | 1120 | Only Kimi K2.6 measured |
| Design Arena: agents building games | Not measured | 1141 | Only Kimi K2.6 measured |
| Design Arena: HTML slides | Not measured | 1135 | Only Kimi K2.6 measured |
| Design Arena: PowerPoint slides | Not measured | 1103 | Only Kimi K2.6 measured |
| Design Arena: spreadsheets | Not measured | 1276 | Only Kimi K2.6 measured |
| Finance Agent (Vals AI) | 47.4% | 44.9% | Gemini 3.5 Flash Lite |
| Tax Agent Bench (Vals AI) | 7.2% | 12.4% | Kimi K2.6 |
| Legal Research Bench (Vals AI) | 13.9% | 15.9% | Kimi K2.6 |
| Excel Modeling Benchmark (Vals AI) | 43.2% | 57.9% | Kimi K2.6 |
| τ²-Bench Telecom | Not measured | 95.9% | Only Kimi K2.6 measured |
| APEX-Agents | 29.3% | Not measured | Only Gemini 3.5 Flash Lite 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 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index210
| Benchmark | Gemini 3.5 Flash Lite | Kimi K2.6 | Leader |
|---|---|---|---|
| GPQA Diamond | 83.8% | 89.1% | Kimi K2.6 |
| MMMU Pro (Vals AI) | 83.6% | 86.3% | Kimi K2.6 |
| GPQA Diamond (Artificial Analysis run) | 83.8% | 91.1% | Kimi K2.6 |
| Humanity's Last Exam (Artificial Analysis run) | 18.8% | 37.5% | Kimi K2.6 |
| GPQA Diamond (Epoch AI run) | 83.3% | 90.8% | Kimi K2.6 |
| ARC-AGI | 53.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ARC-AGI-2 | 10.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Chess puzzles | 21.0% | 20.0% | Gemini 3.5 Flash Lite |
| Mystery game puzzles | 19.0% | 18.0% | Gemini 3.5 Flash Lite |
| EBR-bench | Not measured | 2.4% | Only Kimi K2.6 measured |
| LMArena Text: hard prompts | 1441 | 1470 | Kimi K2.6 |
| LMArena Text: expert | 1434 | 1491 | Kimi K2.6 |
| LMArena Text: hard prompts in English | 1440 | 1471 | Kimi K2.6 |
| LMArena Vision: diagrams | 1284 | 1298 | Kimi K2.6 |
| LMArena Vision: homework | 1291 | 1310 | Kimi K2.6 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 3.5 Flash Lite | Kimi K2.6 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 71.1% | 96.1% | Kimi K2.6 |
| FrontierMath, tiers 1 to 3 | 26.0% | 57.2% | Kimi K2.6 |
| FrontierMath, tier 4 | 0.0% | 25.6% | Kimi K2.6 |
| ProofBench | 13.0% | 16.0% | Kimi K2.6 |
| LMArena Text: math | 1434 | 1474 | Kimi K2.6 |
| LMArena Text: mathematical work | 1433 | 1480 | Kimi K2.6 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28
| Benchmark | Gemini 3.5 Flash Lite | Kimi K2.6 | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | 87.6% | Kimi K2.6 |
| LegalBench (Vals AI) | 84.1% | 84.7% | Kimi K2.6 |
| CaseLaw (Vals AI) | Not measured | 61.2% | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | 60.7% | 66.7% | Kimi K2.6 |
| TaxEval (Vals AI) | 72.6% | 74.7% | Kimi K2.6 |
| MortgageTax (Vals AI) | 68.7% | 65.8% | Gemini 3.5 Flash Lite |
| MedCode (Vals AI) | 43.5% | 40.1% | Gemini 3.5 Flash Lite |
| SimpleQA Verified | Not measured | 34.9% | Only Kimi K2.6 measured |
| LMArena Text: science | 1451 | 1468 | Kimi K2.6 |
| LMArena Text: medicine and healthcare | 1438 | 1457 | Kimi K2.6 |
| LMArena Text: legal and government | 1431 | 1462 | Kimi K2.6 |
| LMArena Text: business and finance | 1423 | 1445 | Kimi K2.6 |
| FACTS Benchmark Suite | 53.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | Kimi K2.6 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1268 | Only Kimi K2.6 measured |
| Design Arena: UI components | Not measured | 1263 | Only Kimi K2.6 measured |
| Design Arena: game dev | Not measured | 1250 | Only Kimi K2.6 measured |
| Design Arena: data viz | Not measured | 1249 | Only Kimi K2.6 measured |
| Design Arena: 3D | Not measured | 1267 | Only Kimi K2.6 measured |
| Design Arena: all code categories | Not measured | 1271 | Only Kimi K2.6 measured |
| Design Arena: SVG | Not measured | 1181 | Only Kimi K2.6 measured |
| Design Arena: ASCII art | Not measured | 1165 | Only Kimi K2.6 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index326
| Benchmark | Gemini 3.5 Flash Lite | Kimi K2.6 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.8% | 56.6% | Kimi K2.6 |
| SAGE (Vals AI) | 47.3% | 50.2% | Kimi K2.6 |
| MedScribe (Vals AI) | 70.9% | 78.2% | Kimi K2.6 |
| Vals Multimodal Index | Not measured | 56.4% | Only Kimi K2.6 measured |
| IFBench | Not measured | 76.0% | Only Kimi K2.6 measured |
| Long context reasoning (AA-LCR) | 76.0% | 81.0% | Kimi K2.6 |
| DTBench | 83.5% | 90.9% | Kimi K2.6 |
| LMCA | 37.6% | 37.3% | Gemini 3.5 Flash Lite |
| Furniture assembly | Not measured | 21.7% | Only Kimi K2.6 measured |
| ExploitBench | Not measured | 18.4% | Only Kimi K2.6 measured |
| LMArena Text | 1435 | 1455 | Kimi K2.6 |
| LMArena Text: instruction following | 1419 | 1451 | Kimi K2.6 |
| LMArena Text: creative writing | 1421 | 1434 | Kimi K2.6 |
| LMArena Vision | 1269 | 1282 | Kimi K2.6 |
| LMArena Text: English | 1438 | 1460 | Kimi K2.6 |
| LMArena Text: non-English | 1427 | 1446 | Kimi K2.6 |
| LMArena Text: Chinese | 1468 | 1520 | Kimi K2.6 |
| LMArena Text: German | 1454 | 1451 | Gemini 3.5 Flash Lite |
| LMArena Text: Japanese | 1426 | 1443 | Kimi K2.6 |
| LMArena Text: Korean | 1407 | 1427 | Kimi K2.6 |
| LMArena Text: French | 1451 | 1471 | Kimi K2.6 |
| LMArena Text: Spanish | 1441 | 1464 | Kimi K2.6 |
| LMArena Text: Russian | 1443 | 1446 | Kimi K2.6 |
| LMArena Text: Polish | 1437 | 1438 | Kimi K2.6 |
| LMArena Text: multi-turn | 1445 | 1453 | Kimi K2.6 |
| LMArena Text: longer queries | 1435 | 1468 | Kimi K2.6 |
| LMArena Text: writing and language | 1428 | 1439 | Kimi K2.6 |
| LMArena Text: entertainment and media | 1414 | 1428 | Kimi K2.6 |
| LMArena Vision: English | 1269 | 1287 | Kimi K2.6 |
| LMArena Vision: Chinese | 1311 | 1346 | Kimi K2.6 |
| LMArena Vision: reading text | 1280 | 1291 | Kimi K2.6 |
| LMArena Vision: humor | 1287 | 1280 | Gemini 3.5 Flash Lite |
| LMArena Vision: creative writing | 1260 | 1273 | Kimi K2.6 |
| LMArena Document | Not measured | 1451 | Only Kimi K2.6 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 3.5 Flash Lite | 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 3.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 3.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 3.5 Flash Lite 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 Lite | 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 | $0.30 | $0.95 |
| Output $/Mtok | $2.50 | $4.00 |
| Coding index | 49.0 | 52.1 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | $0.41 | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash Lite better than Kimi K2.6 for coding?
Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite for output tokens 1.6x cheaper ($2.50 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).
Which is cheaper, Gemini 3.5 Flash Lite or Kimi K2.6?
Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and Kimi K2.6 $0.35.
Which has the bigger context window, Gemini 3.5 Flash Lite or Kimi K2.6?
Gemini 3.5 Flash Lite, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.5 Flash Lite vs Kimi K2.6 comparison based on?
79 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 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.