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Gemini 3.5 Flash vs Kimi K3

Updated October 21, 2026. 95 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.5 FlashGoogle
Coding
42.8
Overall
33.6
Output $/M
$9.00
25
Kimi K3Moonshot AI
Coding
61.8
Overall
43.6
Output $/M
$11.936
70
vs boards won of 95 shared

Decision reading

Pick Kimi K3 for coding: it scores 61.8 on the Vibe Coding Index against 42.8 for Gemini 3.5 Flash.

Pick Gemini 3.5 Flash when output tokens cost 1.3x less, or when what matters is LiveCodeBench (Vals AI) or Code migration (Vals AI), where it leads.

Shared results
95
Gemini 3.5 Flash only
15
Kimi K3 only
22
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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.

At a glance

Coding index
Gemini 3.5 Flash 42.8 from 1 benchmark, Kimi K3 61.8 from 2 benchmarks.
Widest category
Math, 13.8 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: Gemini 3.5 Flash 31.0% against Kimi K3 87.0%, 56.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Kimi K3 $11.936 per million output tokens, 1.3x 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.

Boards won, where both have a result
CategoryGemini 3.5 FlashBarsKimi K3Ties
Coding214
Intelligence02
Agentic work312
Reasoning58
Math15
Knowledge47
Web design07
General1015
All shared boards2570
CodingLike-for-likeFour of these boards feed the Vibe Coding Index214
Coding benchmarks for Gemini 3.5 Flash and Kimi K3
BenchmarkGemini 3.5 FlashKimi K3Leader
LiveBench codingNot measured59.3%Only Kimi K3 measured
LMArena WebDev14991655Kimi K3
AA Coding IndexNot measured76.2Only Kimi K3 measured
LiveCodeBench (Vals AI)87.6%87.2%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)78.8%93.4%Kimi K3
Terminal-Bench 4 (Vals AI)6.1%17.2%Kimi K3
Vibe Code Bench (Vals AI)48.7%85.0%Kimi K3
Code migration (Vals AI)26.8%16.1%Gemini 3.5 Flash
ProgramBench (Vals AI)0.0%2.0%Kimi K3
IOI (Vals AI)Not measured48.9%Only Kimi K3 measured
Terminal-Bench 2.1 (Vals AI)74.2%80.9%Kimi K3
SWE-bench Multimodal (Vals AI)Not measured44.2%Only Kimi K3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured18.2%Only Kimi K3 measured
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
CyberBench (Vals AI)Not measured75.2%Only Kimi K3 measured
SciCode53.9%59.5%Kimi K3
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
FrontierCodeNot measured44.2%Only Kimi K3 measured
FrontierSWENot measured25.9%Only Kimi K3 measured
WeirdML62.6%82.6%Kimi K3
ALE-Bench911.01524.5Kimi K3
LMArena Text: coding14931508Kimi K3
LMArena Text: software and IT14941499Kimi K3
LMArena WebDev: React14951670Kimi K3
LMArena WebDev: HTML15221644Kimi K3
LMArena WebDev: from an image15041579Kimi K3
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.5 Flash and Kimi K3
BenchmarkGemini 3.5 FlashKimi K3Leader
AA Intelligence Index33.643.6Kimi K3
Epoch Capabilities Index154.9157.9Kimi K3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index312
Agentic work benchmarks for Gemini 3.5 Flash and Kimi K3
BenchmarkGemini 3.5 FlashKimi K3Leader
AA Agentic IndexNot measured50.0Only Kimi K3 measured
Design Arena: agents building web apps12021296Kimi K3
Design Arena: agents building full-stack apps11971315Kimi K3
Design Arena: agents building mobile apps11751267Kimi K3
Design Arena: agents building Android apps11901256Kimi K3
Design Arena: agents building Godot games10981223Kimi K3
Design Arena: agents building games11801252Kimi K3
Design Arena: HTML slides11421256Kimi K3
Design Arena: PowerPoint slides11781273Kimi K3
Design Arena: spreadsheetsNot measured1058Only Kimi K3 measured
LiveBench researchNot measured79.0%Only Kimi K3 measured
LiveBench browserNot measured16.0%Only Kimi K3 measured
LiveBench long agenticNot measured42.8%Only Kimi K3 measured
Finance Agent (Vals AI)57.9%53.1%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%33.4%Kimi K3
Legal Research Bench (Vals AI)30.8%46.1%Kimi K3
Harvey's Legal Agent Benchmark (Vals AI)Not measured12.9%Only Kimi K3 measured
Excel Modeling Benchmark (Vals AI)63.5%66.7%Kimi K3
BioMysteryBench (Vals AI)Not measured72.6%Only Kimi K3 measured
Terminal-Bench-Science (Vals AI)5.7%1.4%Gemini 3.5 Flash
Time Horizon Index (Vals AI)Not measured10.5%Only Kimi K3 measured
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%47.8%Kimi K3
PostTrainBenchNot measured32.0%Only Kimi K3 measured
Vending-Bench 2$5,396$5,165Gemini 3.5 Flash
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index58
Reasoning benchmarks for Gemini 3.5 Flash and Kimi K3
BenchmarkGemini 3.5 FlashKimi K3Leader
GPQA Diamond92.7%92.9%Kimi K3
LiveBench reasoningNot measured90.7%Only Kimi K3 measured
MMMU Pro (Vals AI)88.3%88.2%Gemini 3.5 Flash
GPQA Diamond (Artificial Analysis run)92.2%93.5%Kimi K3
Humanity's Last Exam (Artificial Analysis run)42.7%46.9%Kimi K3
GPQA Diamond (Epoch AI run)92.8%93.1%Kimi K3
ARC-AGI92.5%94.5%Kimi K3
ARC-AGI-272.1%60.4%Gemini 3.5 Flash
SimpleBench76.7%60.7%Gemini 3.5 Flash
Chess puzzles45.0%37.0%Gemini 3.5 Flash
Mystery game puzzles32.0%26.0%Gemini 3.5 Flash
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881495Kimi K3
LMArena Text: expert14951520Kimi K3
LMArena Text: hard prompts in English14831496Kimi K3
LMArena Vision: diagrams1323Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: homework1330Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for Gemini 3.5 Flash and Kimi K3
BenchmarkGemini 3.5 FlashKimi K3Leader
OTIS Mock AIME95.6%97.2%Kimi K3
FrontierMath, tiers 1 to 362.8%72.2%Kimi K3
FrontierMath, tier 426.8%39.0%Kimi K3
ProofBench31.0%87.0%Kimi K3
LMArena Text: math15041494Gemini 3.5 Flash
LMArena Text: mathematical work14951505Kimi K3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index47
Knowledge benchmarks for Gemini 3.5 Flash and Kimi K3
BenchmarkGemini 3.5 FlashKimi K3Leader
MMLU Pro89.5%88.0%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%86.2%Kimi K3
CorpFin (Vals AI)64.7%71.6%Kimi K3
TaxEval (Vals AI)74.4%75.7%Kimi K3
MortgageTax (Vals AI)68.1%66.3%Gemini 3.5 Flash
MedCode (Vals AI)55.8%49.4%Gemini 3.5 Flash
SimpleQA Verified66.2%50.6%Gemini 3.5 Flash
LMArena Text: science14951508Kimi K3
LMArena Text: medicine and healthcare14831489Kimi K3
LMArena Text: legal and government14881503Kimi K3
LMArena Text: business and finance14671470Kimi K3
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Gemini 3.5 Flash and Kimi K3
BenchmarkGemini 3.5 FlashKimi K3Leader
Design Arena: websites12681336Kimi K3
Design Arena: UI components12721345Kimi K3
Design Arena: game dev12631361Kimi K3
Design Arena: data viz12361350Kimi K3
Design Arena: 3D12441388Kimi K3
Design Arena: all code categories12661361Kimi K3
Design Arena: SVG12541301Kimi K3
Design Arena: ASCII art1253Not measuredOnly Gemini 3.5 Flash measured
LiveBench designNot measured77.2%Only Kimi K3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index1015
General benchmarks for Gemini 3.5 Flash and Kimi K3
BenchmarkGemini 3.5 FlashKimi K3Leader
Vals IndexNot measured53.0%Only Kimi K3 measured
LiveBench data analysisNot measured78.7%Only Kimi K3 measured
Public Benefits Bench (Vals AI)59.5%68.2%Kimi K3
SAGE (Vals AI)49.9%52.8%Kimi K3
MedScribe (Vals AI)76.6%88.0%Kimi K3
Vals Multimodal Index62.9%73.4%Kimi K3
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%88.7%Kimi K3
DTBench94.7%91.2%Gemini 3.5 Flash
LMCA47.1%52.7%Kimi K3
Surface Evolver Bench58.1%95.0%Kimi K3
Furniture assemblyNot measured34.2%Only Kimi K3 measured
LMArena Text14821476Gemini 3.5 Flash
LMArena Text: instruction following14671485Kimi K3
LMArena Text: creative writing14701457Gemini 3.5 Flash
LMArena Vision1308Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: English14811481Kimi K3
LMArena Text: non-English14751466Gemini 3.5 Flash
LMArena Text: Chinese15271529Kimi K3
LMArena Text: German14941490Gemini 3.5 Flash
LMArena Text: Japanese14861494Kimi K3
LMArena Text: Korean14481460Kimi K3
LMArena Text: French14901492Kimi K3
LMArena Text: Spanish14801472Gemini 3.5 Flash
LMArena Text: Russian14931485Gemini 3.5 Flash
LMArena Text: Polish15161458Gemini 3.5 Flash
LMArena Text: multi-turn14811489Kimi K3
LMArena Text: longer queries14831494Kimi K3
LMArena Text: writing and language14781471Gemini 3.5 Flash
LMArena Text: entertainment and media14591453Gemini 3.5 Flash
LMArena Vision: English1305Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text1317Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing1301Not measuredOnly Gemini 3.5 Flash measured
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash and Kimi K3
BenchmarkGemini 3.5 FlashKimi K3Leader
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$0.0060Fits in one request
Kimi K3$0.0062Fits in one request

Gemini 3.5 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Kimi K3$0.048Fits in one request

Kimi K3 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
Kimi K3$0.167Fits in one request

Kimi K3 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.

Specifications of Gemini 3.5 Flash and Kimi K3
SpecificationGoogle Gemini 3.5 FlashMoonshotAI Kimi K3
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026July 16, 2026
Context window1.05M1.05M
Input $/Mtok$1.50$0.239
Output $/Mtok$9.00$11.936
Coding index42.861.8
Independent measurements behind it12
Cost per solved task$1.21$0.81
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Kimi K3 for coding?

Pick Kimi K3 for coding: it scores 61.8 on the Vibe Coding Index against 42.8 for Gemini 3.5 Flash. Pick Gemini 3.5 Flash when output tokens cost 1.3x less, or when what matters is LiveCodeBench (Vals AI) or Code migration (Vals AI), where it leads.

Which is cheaper, Gemini 3.5 Flash or Kimi K3?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Kimi K3 costs $0.239 and $11.936. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and Kimi K3 $0.81.

Which has the bigger context window, Gemini 3.5 Flash or Kimi K3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.5 Flash vs Kimi K3 comparison based on?

95 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 1 independent benchmark and Kimi K3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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