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Gemini 3.5 Flash vs Kimi K2.5

Gemini 3.5 Flash leads Kimi K2.5 on coding, 39.8 to 38.6 on the Vibe Coding Index, and Kimi K2.5 costs 3.2x less per output token ($2.85 vs $9.00 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Replace Gemini 3.5 Flash Replace Kimi K2.5
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
81
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
4
vs boards won of 85 shared

Gemini 3.5 Flash or Kimi K2.5: which to pick

Gemini 3.5 Flash and Kimi K2.5 are level for coding, 39.8 against 38.6 on the Vibe Coding Index, so price and context decide.

Pick Kimi K2.5 for output tokens 3.2x cheaper ($2.85 vs $9.00 per million) and a lower cost per solved task ($0.24 against $1.21). Pick Gemini 3.5 Flash for a larger context window (1.05M against 262K tokens) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BKimi K2.5Moonshot AI38.6/1003 independent benchmarks$0.24 per solved task
Shared results
85
Gemini 3.5 Flash only
27
Kimi K2.5 only
14
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.

At a glance

Coding index
Gemini 3.5 Flash 39.8 from 4 benchmarks, Kimi K2.5 38.6 from 3 benchmarks.
Widest category
Reasoning, 14.4 points apart on average over 12 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.5 Flash 72.1% against Kimi K2.5 11.8%, 60.3 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Kimi K2.5 $2.85 per million output tokens, 3.2x apart.
Context window
Gemini 3.5 Flash takes 1.05M tokens, Kimi K2.5 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.

Boards won, where both have a result
CategoryGemini 3.5 FlashBarsKimi K2.5Ties
Coding140
Intelligence20
Agentic work82
Reasoning120
Math20
Knowledge91
Web design80
General261
All shared boards814
CodingLike-for-likeSix of these boards feed the Vibe Coding Index140
Coding benchmarks for Gemini 3.5 Flash and Kimi K2.5
BenchmarkGemini 3.5 FlashKimi K2.5Leader
SWE-bench VerifiedNot measured70.8%Only Kimi K2.5 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDev14991437Gemini 3.5 Flash
AA Coding IndexNot measured46.8Only Kimi K2.5 measured
LiveCodeBench (Vals AI)87.6%83.9%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)78.8%70.0%Gemini 3.5 Flash
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%17.5%Gemini 3.5 Flash
Code migration (Vals AI)26.8%7.0%Gemini 3.5 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%42.0%Gemini 3.5 Flash
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
SciCode53.9%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)46.2%34.8%Gemini 3.5 Flash
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
WeirdML62.6%45.6%Gemini 3.5 Flash
ALE-Bench911.0821.6Gemini 3.5 Flash
LMArena Text: coding14931483Gemini 3.5 Flash
LMArena Text: software and IT14941471Gemini 3.5 Flash
LMArena WebDev: React14951429Gemini 3.5 Flash
LMArena WebDev: HTML15221426Gemini 3.5 Flash
LMArena WebDev: from an image15041439Gemini 3.5 Flash
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.5 Flash and Kimi K2.5
BenchmarkGemini 3.5 FlashKimi K2.5Leader
AA Intelligence Index33.623.5Gemini 3.5 Flash
Epoch Capabilities Index154.9148.1Gemini 3.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index82
Agentic work benchmarks for Gemini 3.5 Flash and Kimi K2.5
BenchmarkGemini 3.5 FlashKimi K2.5Leader
Design Arena: agents building web apps12021136Gemini 3.5 Flash
Design Arena: agents building full-stack apps11971114Gemini 3.5 Flash
Design Arena: agents building mobile apps11741147Gemini 3.5 Flash
Design Arena: agents building Android apps11851118Gemini 3.5 Flash
Design Arena: agents building Godot games10981219Kimi K2.5
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1093Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1154Not measuredOnly Gemini 3.5 Flash measured
Finance Agent (Vals AI)57.9%35.8%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%Not measuredOnly Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)30.8%15.9%Gemini 3.5 Flash
Excel Modeling Benchmark (Vals AI)63.5%28.5%Gemini 3.5 Flash
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%95.9%Kimi K2.5
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2$5,396$1,198Gemini 3.5 Flash
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Gemini 3.5 Flash and Kimi K2.5
BenchmarkGemini 3.5 FlashKimi K2.5Leader
GPQA Diamond92.7%84.1%Gemini 3.5 Flash
MMMU Pro (Vals AI)88.3%84.3%Gemini 3.5 Flash
GPQA Diamond (Artificial Analysis run)92.2%87.9%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%30.7%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI92.5%65.3%Gemini 3.5 Flash
ARC-AGI-272.1%11.8%Gemini 3.5 Flash
SimpleBench76.7%46.8%Gemini 3.5 Flash
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%Not measuredOnly Gemini 3.5 Flash measured
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881453Gemini 3.5 Flash
LMArena Text: expert14951466Gemini 3.5 Flash
LMArena Text: hard prompts in English14831460Gemini 3.5 Flash
LMArena Vision: diagrams13231282Gemini 3.5 Flash
LMArena Vision: homework13301297Gemini 3.5 Flash
Kagi LLM BenchmarkNot measured78.5%Only Kimi K2.5 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 3.5 Flash and Kimi K2.5
BenchmarkGemini 3.5 FlashKimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
OTIS Mock AIME95.6%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: math15041470Gemini 3.5 Flash
LMArena Text: mathematical work14951473Gemini 3.5 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Gemini 3.5 Flash and Kimi K2.5
BenchmarkGemini 3.5 FlashKimi K2.5Leader
MMLU Pro89.5%85.9%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash measured
CaseLaw (Vals AI)Not measured58.7%Only Kimi K2.5 measured
CorpFin (Vals AI)64.7%68.3%Kimi K2.5
TaxEval (Vals AI)74.4%74.2%Gemini 3.5 Flash
MortgageTax (Vals AI)68.1%66.5%Gemini 3.5 Flash
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)55.8%39.3%Gemini 3.5 Flash
SimpleQA Verified66.2%34.3%Gemini 3.5 Flash
LMArena Text: science14951459Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831448Gemini 3.5 Flash
LMArena Text: legal and government14881441Gemini 3.5 Flash
LMArena Text: business and finance14671427Gemini 3.5 Flash
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Gemini 3.5 Flash and Kimi K2.5
BenchmarkGemini 3.5 FlashKimi K2.5Leader
Design Arena: websites12671248Gemini 3.5 Flash
Design Arena: UI components12691234Gemini 3.5 Flash
Design Arena: game dev12631206Gemini 3.5 Flash
Design Arena: data viz12361219Gemini 3.5 Flash
Design Arena: 3D12431204Gemini 3.5 Flash
Design Arena: all code categories12661236Gemini 3.5 Flash
Design Arena: SVG12531149Gemini 3.5 Flash
Design Arena: ASCII art12541166Gemini 3.5 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index261
General benchmarks for Gemini 3.5 Flash and Kimi K2.5
BenchmarkGemini 3.5 FlashKimi K2.5Leader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%49.9%Gemini 3.5 Flash
MedScribe (Vals AI)76.6%76.4%Gemini 3.5 Flash
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%70.2%Gemini 3.5 Flash
Long context reasoning (AA-LCR)74.3%78.0%Kimi K2.5
DTBench94.7%Not measuredOnly Gemini 3.5 Flash measured
LMCA47.1%Not measuredOnly Gemini 3.5 Flash measured
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text14821445Gemini 3.5 Flash
LMArena Text: instruction following14671431Gemini 3.5 Flash
LMArena Text: creative writing14701422Gemini 3.5 Flash
LMArena Vision13081269Gemini 3.5 Flash
LMArena Text: English14811453Gemini 3.5 Flash
LMArena Text: non-English14751433Gemini 3.5 Flash
LMArena Text: Chinese15271494Gemini 3.5 Flash
LMArena Text: German14941441Gemini 3.5 Flash
LMArena Text: Japanese14861423Gemini 3.5 Flash
LMArena Text: Korean14481412Gemini 3.5 Flash
LMArena Text: French14901454Gemini 3.5 Flash
LMArena Text: Spanish14801450Gemini 3.5 Flash
LMArena Text: Russian14931435Gemini 3.5 Flash
LMArena Text: Polish15161445Gemini 3.5 Flash
LMArena Text: multi-turn14811444Gemini 3.5 Flash
LMArena Text: longer queries14831445Gemini 3.5 Flash
LMArena Text: writing and language14781425Gemini 3.5 Flash
LMArena Text: entertainment and media14591417Gemini 3.5 Flash
LMArena Vision: English13051274Gemini 3.5 Flash
LMArena Vision: Chinese13771328Gemini 3.5 Flash
LMArena Vision: reading text13171276Gemini 3.5 Flash
LMArena Vision: humor13211284Gemini 3.5 Flash
LMArena Vision: captioningNot measured1257Only Kimi K2.5 measured
LMArena Vision: recognizing thingsNot measured1285Only Kimi K2.5 measured
LMArena Vision: creative writing13011269Gemini 3.5 Flash
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 8 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 K2.5
BenchmarkGemini 3.5 FlashKimi K2.5Leader
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 K2.5$0.0020Fits in one request

Kimi K2.5 costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Kimi K2.5$0.035Fits in one request

Kimi K2.5 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
Kimi K2.5$0.135Fits in one request

Kimi K2.5 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 K2.5
SpecificationGoogle Gemini 3.5 FlashMoonshotAI Kimi K2.5
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026January 27, 2026
Context window1.05M262K
Input $/Mtok$1.50$0.532
Output $/Mtok$9.00$2.85
Coding index39.838.6
Independent measurements behind it43
Cost per solved task$1.21$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Kimi K2.5 for coding?

Gemini 3.5 Flash and Kimi K2.5 are level for coding, 39.8 against 38.6 on the Vibe Coding Index, so price and context decide. Pick Kimi K2.5 for output tokens 3.2x cheaper ($2.85 vs $9.00 per million) and a lower cost per solved task ($0.24 against $1.21). Pick Gemini 3.5 Flash for a larger context window (1.05M against 262K tokens) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Gemini 3.5 Flash or Kimi K2.5?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and Kimi K2.5 $0.24.

Which has the bigger context window, Gemini 3.5 Flash or Kimi K2.5?

Gemini 3.5 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.5 Flash vs Kimi K2.5 comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash's coding index rests on 4 independent benchmarks and Kimi K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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