Gemini 3.8 Flash vs Kimi K3
Kimi K3 leads Gemini 3.8 Flash on coding, 62.3 to 61.6 on the Vibe Coding Index, and Gemini 3.8 Flash costs 4.0x less per output token ($3.75 vs $15.00 per million). Updated October 21, 2026; 111 benchmarks have a result for both.
Gemini 3.8 Flash or Kimi K3: which to pick
Gemini 3.8 Flash and Kimi K3 are level for coding, 61.6 against 62.3 on the Vibe Coding Index, so price and context decide.
Pick Gemini 3.8 Flash for output tokens 4.0x cheaper ($3.75 vs $15.00 per million) and work measured by LiveBench coding or AA Coding Index, where it leads. Pick Kimi K3 for a lower cost per solved task ($0.81 against $2.74) and work measured by LMArena WebDev or SWE-bench Verified (Vals AI), where it leads.
- Shared results
- 111
- Gemini 3.8 Flash only
- 17
- Kimi K3 only
- 6
- 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
No call
Level: 61.6 against 62.3, inside 2 points.
6 benchmarks behind each score
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 40.9.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K3
Kimi K3 leads, 50.0 against 40.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 94.4% against 92.9%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 90.2% against 88.0%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1335 against 1300.
Same board, both measured
General
Vals Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 56.0% against 53.0%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.8 Flash
Gemini 3.8 Flash $0.0026, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K3
Gemini 3.8 Flash $2.74, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.8 Flash 61.6 from 6 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Math, 11.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- LiveBench browser: Gemini 3.8 Flash 64.0% against Kimi K3 16.0%, 48.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.8 Flash $3.75 against Kimi K3 $15.00 per million output tokens, 4.0x apart.
- Context window
- Both take 1.05M tokens.
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 3.8 Flash | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 12 | 12 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 8 | 13 | ||
| Reasoning | 12 | 1 | ||
| Math | 3 | 3 | ||
| Knowledge | 6 | 4 | ||
| Web design | 0 | 8 | ||
| General | 20 | 7 | ||
| All shared boards | 61 | 50 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index1212
| Benchmark | Gemini 3.8 Flash | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | 82.2% | 59.3% | Gemini 3.8 Flash |
| LMArena WebDev | 1585 | 1655 | Kimi K3 |
| AA Coding Index | 76.3 | 76.2 | Gemini 3.8 Flash |
| LiveCodeBench (Vals AI) | 89.5% | 87.2% | Gemini 3.8 Flash |
| SWE-bench Verified (Vals AI) | 80.0% | 93.4% | Kimi K3 |
| Terminal-Bench 4 (Vals AI) | 19.7% | 17.2% | Gemini 3.8 Flash |
| Vibe Code Bench (Vals AI) | 78.7% | 85.0% | Kimi K3 |
| Code migration (Vals AI) | 36.5% | 16.1% | Gemini 3.8 Flash |
| ProgramBench (Vals AI) | 1.0% | 2.0% | Kimi K3 |
| IOI (Vals AI) | 56.9% | 48.9% | Gemini 3.8 Flash |
| Terminal-Bench 2.1 (Vals AI) | 81.3% | 80.9% | Gemini 3.8 Flash |
| SWE-bench Multimodal (Vals AI) | 40.8% | 44.2% | Kimi K3 |
| Vibe Code Bench 1-100 (Vals AI) | 18.8% | 18.2% | Gemini 3.8 Flash |
| SkillsBench (Vals AI) | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| CyberBench (Vals AI) | 43.8% | 75.2% | Kimi K3 |
| SciCode | 56.6% | 59.5% | Kimi K3 |
| FrontierCode | 41.2% | 44.2% | Kimi K3 |
| FrontierSWE | 19.6% | 25.9% | Kimi K3 |
| WeirdML | 84.8% | 82.6% | Gemini 3.8 Flash |
| ALE-Bench | 1269.7 | 1524.5 | Kimi K3 |
| LMArena Text: coding | 1508 | 1508 | Gemini 3.8 Flash |
| LMArena Text: software and IT | 1507 | 1499 | Gemini 3.8 Flash |
| LMArena WebDev: React | 1577 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1616 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | 1593 | 1579 | Gemini 3.8 Flash |
| SciCode | 12.3% | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 3.8 Flash | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.9 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | 157.4 | 157.9 | Kimi K3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index813
| Benchmark | Gemini 3.8 Flash | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | 40.2 | 50.0 | Kimi K3 |
| Design Arena: agents building web apps | 1238 | 1295 | Kimi K3 |
| Design Arena: agents building full-stack apps | 1244 | 1315 | Kimi K3 |
| Design Arena: agents building mobile apps | 1236 | 1269 | Kimi K3 |
| Design Arena: agents building Android apps | 1074 | 1250 | Kimi K3 |
| Design Arena: agents building Godot games | 1273 | 1223 | Gemini 3.8 Flash |
| Design Arena: agents building games | Not measured | 1252 | Only Kimi K3 measured |
| Design Arena: HTML slides | Not measured | 1256 | Only Kimi K3 measured |
| Design Arena: PowerPoint slides | 1177 | 1273 | Kimi K3 |
| Design Arena: spreadsheets | 1056 | 1058 | Kimi K3 |
| LiveBench research | 79.1% | 79.0% | Gemini 3.8 Flash |
| LiveBench browser | 64.0% | 16.0% | Gemini 3.8 Flash |
| LiveBench long agentic | 30.1% | 42.8% | Kimi K3 |
| SREBench (Vals AI) | 11.1% | Not measured | Only Gemini 3.8 Flash measured |
| Finance Agent (Vals AI) | 61.4% | 53.1% | Gemini 3.8 Flash |
| Tax Agent Bench (Vals AI) | 32.1% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 38.9% | 46.1% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.1% | 12.9% | Kimi K3 |
| Excel Modeling Benchmark (Vals AI) | 72.2% | 66.7% | Gemini 3.8 Flash |
| BioMysteryBench (Vals AI) | 62.2% | 72.6% | Kimi K3 |
| Terminal-Bench-Science (Vals AI) | 8.6% | 1.4% | Gemini 3.8 Flash |
| Vals Science Index | 35.8% | Not measured | Only Gemini 3.8 Flash measured |
| Time Horizon Index (Vals AI) | 18.8% | 10.5% | Gemini 3.8 Flash |
| CUA-bench (Vals AI) | 4.2% | Not measured | Only Gemini 3.8 Flash measured |
| APEX-Agents | 64.3% | 47.8% | Gemini 3.8 Flash |
| Remote Labor Index | 5.8% | Not measured | Only Gemini 3.8 Flash measured |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| Vending-Bench 2 | $5,094 | $5,165 | Kimi K3 |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index121
| Benchmark | Gemini 3.8 Flash | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 94.4% | 92.9% | Gemini 3.8 Flash |
| LiveBench reasoning | 89.3% | 90.7% | Kimi K3 |
| MysteryMechanism (Vals AI) | 36.5% | Not measured | Only Gemini 3.8 Flash measured |
| MMMU Pro (Vals AI) | 89.1% | 88.2% | Gemini 3.8 Flash |
| GPQA Diamond (Artificial Analysis run) | 95.3% | 93.5% | Gemini 3.8 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 47.8% | 46.9% | Gemini 3.8 Flash |
| GPQA Diamond (Epoch AI run) | 95.4% | 93.1% | Gemini 3.8 Flash |
| ARC-AGI | 98.5% | 94.5% | Gemini 3.8 Flash |
| ARC-AGI-2 | 89.2% | 60.4% | Gemini 3.8 Flash |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 58.0% | 37.0% | Gemini 3.8 Flash |
| Mystery game puzzles | 47.0% | 26.0% | Gemini 3.8 Flash |
| LMArena Text: hard prompts | 1509 | 1495 | Gemini 3.8 Flash |
| LMArena Text: expert | 1526 | 1520 | Gemini 3.8 Flash |
| LMArena Text: hard prompts in English | 1504 | 1496 | Gemini 3.8 Flash |
| LMArena Vision: diagrams | 1345 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: homework | 1351 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Gemini 3.8 Flash | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | 97.2% | Gemini 3.8 Flash |
| FrontierMath, tiers 1 to 3 | 68.4% | 72.2% | Kimi K3 |
| FrontierMath, tier 4 | 22.0% | 39.0% | Kimi K3 |
| ProofBench | 48.0% | 87.0% | Kimi K3 |
| LMArena Text: math | 1532 | 1494 | Gemini 3.8 Flash |
| LMArena Text: mathematical work | 1519 | 1505 | Gemini 3.8 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index64
| Benchmark | Gemini 3.8 Flash | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 90.2% | 88.0% | Gemini 3.8 Flash |
| LegalBench (Vals AI) | 87.0% | 86.2% | Gemini 3.8 Flash |
| CorpFin (Vals AI) | Not measured | 71.6% | Only Kimi K3 measured |
| TaxEval (Vals AI) | 74.5% | 75.7% | Kimi K3 |
| MortgageTax (Vals AI) | 65.3% | 66.3% | Kimi K3 |
| MedCode (Vals AI) | 48.1% | 49.4% | Kimi K3 |
| SimpleQA Verified | 69.7% | 50.6% | Gemini 3.8 Flash |
| LMArena Text: science | 1523 | 1508 | Gemini 3.8 Flash |
| LMArena Text: medicine and healthcare | 1508 | 1489 | Gemini 3.8 Flash |
| LMArena Text: legal and government | 1497 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1479 | 1470 | Gemini 3.8 Flash |
| FACTS Benchmark Suite | 69.4% | Not measured | Only Gemini 3.8 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 index08
| Benchmark | Gemini 3.8 Flash | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1300 | 1335 | Kimi K3 |
| Design Arena: UI components | 1319 | 1344 | Kimi K3 |
| Design Arena: game dev | 1305 | 1359 | Kimi K3 |
| Design Arena: data viz | 1269 | 1351 | Kimi K3 |
| Design Arena: 3D | 1295 | 1388 | Kimi K3 |
| Design Arena: all code categories | 1304 | 1360 | Kimi K3 |
| Design Arena: SVG | 1295 | 1302 | Kimi K3 |
| Design Arena: ASCII art | 1265 | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench design | 72.7% | 77.2% | Kimi K3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index207
| Benchmark | Gemini 3.8 Flash | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | 56.0% | 53.0% | Gemini 3.8 Flash |
| LiveBench data analysis | 54.0% | 78.7% | Kimi K3 |
| Public Benefits Bench (Vals AI) | 65.3% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 35.1% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 84.5% | 88.0% | Kimi K3 |
| Vals Multimodal Index | Not measured | 73.4% | Only Kimi K3 measured |
| Long context reasoning (AA-LCR) | 84.0% | 88.7% | Kimi K3 |
| DTBench | 95.7% | 91.2% | Gemini 3.8 Flash |
| LMCA | 52.9% | 52.7% | Gemini 3.8 Flash |
| Surface Evolver Bench | 76.9% | 95.0% | Kimi K3 |
| Furniture assembly | 31.7% | 34.2% | Kimi K3 |
| LMArena Text | 1499 | 1476 | Gemini 3.8 Flash |
| LMArena Text: instruction following | 1492 | 1485 | Gemini 3.8 Flash |
| LMArena Text: creative writing | 1488 | 1457 | Gemini 3.8 Flash |
| LMArena Vision | 1315 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: English | 1498 | 1481 | Gemini 3.8 Flash |
| LMArena Text: non-English | 1491 | 1466 | Gemini 3.8 Flash |
| LMArena Text: Chinese | 1553 | 1529 | Gemini 3.8 Flash |
| LMArena Text: German | 1501 | 1490 | Gemini 3.8 Flash |
| LMArena Text: Japanese | 1507 | 1494 | Gemini 3.8 Flash |
| LMArena Text: Korean | 1464 | 1460 | Gemini 3.8 Flash |
| LMArena Text: French | 1496 | 1492 | Gemini 3.8 Flash |
| LMArena Text: Spanish | 1487 | 1472 | Gemini 3.8 Flash |
| LMArena Text: Russian | 1514 | 1485 | Gemini 3.8 Flash |
| LMArena Text: Polish | 1497 | 1458 | Gemini 3.8 Flash |
| LMArena Text: multi-turn | 1503 | 1489 | Gemini 3.8 Flash |
| LMArena Text: longer queries | 1507 | 1494 | Gemini 3.8 Flash |
| LMArena Text: writing and language | 1494 | 1471 | Gemini 3.8 Flash |
| LMArena Text: entertainment and media | 1480 | 1453 | Gemini 3.8 Flash |
| LMArena Vision: English | 1318 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: Chinese | 1416 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: reading text | 1333 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: creative writing | 1299 | Not measured | Only Gemini 3.8 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 3.8 Flash | Kimi K3 | 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 3.8 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 3.8 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 3.8 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 3.8 Flash | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | Moonshot AI | |
| Weights | No public weights listed | Open weights |
| Released | September 2, 2026 | July 16, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.75 | $3.00 |
| Output $/Mtok | $3.75 | $15.00 |
| Coding index | 61.6 | 62.3 |
| Independent measurements behind it | 6 | 6 |
| Cost per solved task | $2.74 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.8 Flash better than Kimi K3 for coding?
Gemini 3.8 Flash and Kimi K3 are level for coding, 61.6 against 62.3 on the Vibe Coding Index, so price and context decide. Pick Gemini 3.8 Flash for output tokens 4.0x cheaper ($3.75 vs $15.00 per million) and work measured by LiveBench coding or AA Coding Index, where it leads. Pick Kimi K3 for a lower cost per solved task ($0.81 against $2.74) and work measured by LMArena WebDev or SWE-bench Verified (Vals AI), where it leads.
Which is cheaper, Gemini 3.8 Flash or Kimi K3?
Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Kimi K3 costs $3.00 and $15.00. Per solved SWE-bench Verified task, Gemini 3.8 Flash costs $2.74 and Kimi K3 $0.81.
Which has the bigger context window, Gemini 3.8 Flash or Kimi K3?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 3.8 Flash vs Kimi K3 comparison based on?
111 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 6 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.