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Gemini 3.7 Flash vs Kimi K2.5

Gemini 3.7 Flash leads Kimi K2.5 on coding, 58.0 to 38.6 on the Vibe Coding Index, and Kimi K2.5 costs 1.3x less per output token ($2.85 vs $3.75 per million). Updated October 22, 2026; 79 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Kimi K2.5
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
78
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
1
vs boards won of 79 shared

Gemini 3.7 Flash or Kimi K2.5: which to pick

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 38.6 for Kimi K2.5.

Pick Kimi K2.5 for output tokens 1.3x cheaper ($2.85 vs $3.75 per million) and a lower cost per solved task ($0.24 against $1.78).

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BKimi K2.5Moonshot AI38.6/1003 independent benchmarks$0.24 per solved task
Shared results
79
Gemini 3.7 Flash only
35
Kimi K2.5 only
20
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 3.7 Flash 58.0 from 6 benchmarks, Kimi K2.5 38.6 from 3 benchmarks.
Widest category
Coding, 20.7 points apart on average over 13 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.7 Flash 84.6% against Kimi K2.5 11.8%, 72.8 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Kimi K2.5 $2.85 per million output tokens, 1.3x apart.
Context window
Gemini 3.7 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 3.7 FlashBarsKimi K2.5Ties
Coding130
Intelligence20
Agentic work80
Reasoning110
Math20
Knowledge90
Web design80
General251
All shared boards781
CodingLike-for-likeSix of these boards feed the Vibe Coding Index130
Coding benchmarks for Gemini 3.7 Flash and Kimi K2.5
BenchmarkGemini 3.7 FlashKimi K2.5Leader
SWE-bench VerifiedNot measured70.8%Only Kimi K2.5 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911437Gemini 3.7 Flash
AA Coding Index71.546.8Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%83.9%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%70.0%Gemini 3.7 Flash
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%17.5%Gemini 3.7 Flash
Code migration (Vals AI)34.8%7.0%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.7 Flash measured
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%42.0%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.7 Flash measured
SciCode59.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Kimi K2.5 measured
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
WeirdMLNot measured45.6%Only Kimi K2.5 measured
ALE-Bench904.3821.6Gemini 3.7 Flash
LMArena Text: coding14991483Gemini 3.7 Flash
LMArena Text: software and IT14981471Gemini 3.7 Flash
LMArena WebDev: React15871429Gemini 3.7 Flash
LMArena WebDev: HTML15931426Gemini 3.7 Flash
LMArena WebDev: from an image15991439Gemini 3.7 Flash
SciCode13.8%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.7 Flash and Kimi K2.5
BenchmarkGemini 3.7 FlashKimi K2.5Leader
AA Intelligence Index39.623.5Gemini 3.7 Flash
Epoch Capabilities Index158.0148.1Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index80
Agentic work benchmarks for Gemini 3.7 Flash and Kimi K2.5
BenchmarkGemini 3.7 FlashKimi K2.5Leader
Design Arena: agents building web apps12231136Gemini 3.7 Flash
Design Arena: agents building full-stack apps12081114Gemini 3.7 Flash
Design Arena: agents building mobile apps12291147Gemini 3.7 Flash
Design Arena: agents building Android apps12431118Gemini 3.7 Flash
Design Arena: agents building Godot games12641219Gemini 3.7 Flash
Design Arena: agents building games1235Not measuredOnly Gemini 3.7 Flash measured
Design Arena: spreadsheets1058Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%Not measuredOnly Gemini 3.7 Flash measured
LiveBench browser56.0%Not measuredOnly Gemini 3.7 Flash measured
LiveBench long agentic28.3%Not measuredOnly Gemini 3.7 Flash measured
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%35.8%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%Not measuredOnly Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)34.6%15.9%Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)71.3%28.5%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured95.9%Only Kimi K2.5 measured
APEX-Agents67.8%Not measuredOnly Gemini 3.7 Flash measured
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2Not measured$1,198Only Kimi K2.5 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for Gemini 3.7 Flash and Kimi K2.5
BenchmarkGemini 3.7 FlashKimi K2.5Leader
GPQA Diamond93.9%84.1%Gemini 3.7 Flash
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%84.3%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%87.9%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%30.7%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI95.5%65.3%Gemini 3.7 Flash
ARC-AGI-284.6%11.8%Gemini 3.7 Flash
SimpleBenchNot measured46.8%Only Kimi K2.5 measured
Chess puzzles66.0%Not measuredOnly Gemini 3.7 Flash measured
Mystery game puzzles37.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts14951453Gemini 3.7 Flash
LMArena Text: expert15121466Gemini 3.7 Flash
LMArena Text: hard prompts in English14871460Gemini 3.7 Flash
LMArena Vision: diagrams13291282Gemini 3.7 Flash
LMArena Vision: homework13201297Gemini 3.7 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 3.7 Flash and Kimi K2.5
BenchmarkGemini 3.7 FlashKimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
OTIS Mock AIME97.2%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 371.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tier 436.6%Not measuredOnly Gemini 3.7 Flash measured
ProofBench58.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: math15111470Gemini 3.7 Flash
LMArena Text: mathematical work15021473Gemini 3.7 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Gemini 3.7 Flash and Kimi K2.5
BenchmarkGemini 3.7 FlashKimi K2.5Leader
MMLU Pro90.1%85.9%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%Not measuredOnly Gemini 3.7 Flash measured
CaseLaw (Vals AI)Not measured58.7%Only Kimi K2.5 measured
CorpFin (Vals AI)Not measured68.3%Only Kimi K2.5 measured
TaxEval (Vals AI)74.7%74.2%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%66.5%Gemini 3.7 Flash
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)53.4%39.3%Gemini 3.7 Flash
SimpleQA Verified69.2%34.3%Gemini 3.7 Flash
LMArena Text: science15111459Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941448Gemini 3.7 Flash
LMArena Text: legal and government14961441Gemini 3.7 Flash
LMArena Text: business and finance14791427Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 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 3.7 Flash and Kimi K2.5
BenchmarkGemini 3.7 FlashKimi K2.5Leader
Design Arena: websites13031248Gemini 3.7 Flash
Design Arena: UI components12961234Gemini 3.7 Flash
Design Arena: game dev13171206Gemini 3.7 Flash
Design Arena: data viz13151219Gemini 3.7 Flash
Design Arena: 3D13071204Gemini 3.7 Flash
Design Arena: all code categories13081236Gemini 3.7 Flash
Design Arena: SVG12831149Gemini 3.7 Flash
Design Arena: ASCII art12761166Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index251
General benchmarks for Gemini 3.7 Flash and Kimi K2.5
BenchmarkGemini 3.7 FlashKimi K2.5Leader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
SAGE (Vals AI)49.2%49.9%Kimi K2.5
MedScribe (Vals AI)83.9%76.4%Gemini 3.7 Flash
IFBenchNot measured70.2%Only Kimi K2.5 measured
Long context reasoning (AA-LCR)83.0%78.0%Gemini 3.7 Flash
DTBench96.8%Not measuredOnly Gemini 3.7 Flash measured
LMCA50.4%Not measuredOnly Gemini 3.7 Flash measured
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text14891445Gemini 3.7 Flash
LMArena Text: instruction following14841431Gemini 3.7 Flash
LMArena Text: creative writing14881422Gemini 3.7 Flash
LMArena Vision13141269Gemini 3.7 Flash
LMArena Text: English14831453Gemini 3.7 Flash
LMArena Text: non-English14871433Gemini 3.7 Flash
LMArena Text: Chinese15521494Gemini 3.7 Flash
LMArena Text: German15061441Gemini 3.7 Flash
LMArena Text: Japanese15111423Gemini 3.7 Flash
LMArena Text: Korean14811412Gemini 3.7 Flash
LMArena Text: French15001454Gemini 3.7 Flash
LMArena Text: Spanish14951450Gemini 3.7 Flash
LMArena Text: Russian15151435Gemini 3.7 Flash
LMArena Text: Polish15031445Gemini 3.7 Flash
LMArena Text: multi-turn14851444Gemini 3.7 Flash
LMArena Text: longer queries14921445Gemini 3.7 Flash
LMArena Text: writing and language14911425Gemini 3.7 Flash
LMArena Text: entertainment and media14771417Gemini 3.7 Flash
LMArena Vision: English13091274Gemini 3.7 Flash
LMArena Vision: Chinese13941328Gemini 3.7 Flash
LMArena Vision: reading text13221276Gemini 3.7 Flash
LMArena Vision: humor12991284Gemini 3.7 Flash
LMArena Vision: captioningNot measured1257Only Kimi K2.5 measured
LMArena Vision: recognizing thingsNot measured1285Only Kimi K2.5 measured
LMArena Vision: creative writing13121269Gemini 3.7 Flash
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 3.7 Flash and Kimi K2.5
BenchmarkGemini 3.7 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 3.7 Flash$0.0026Fits in one request
Kimi K2.5$0.0020Fits in one request

Kimi K2.5 costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Kimi K2.5$0.035Fits in one request

Kimi K2.5 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits 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 3.7 Flash and Kimi K2.5
SpecificationGoogle Gemini 3.7 FlashMoonshotAI Kimi K2.5
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2026January 27, 2026
Context window1.05M262K
Input $/Mtok$0.75$0.532
Output $/Mtok$3.75$2.85
Coding index58.038.6
Independent measurements behind it63
Cost per solved task$1.78$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Kimi K2.5 for coding?

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 38.6 for Kimi K2.5. Pick Kimi K2.5 for output tokens 1.3x cheaper ($2.85 vs $3.75 per million) and a lower cost per solved task ($0.24 against $1.78).

Which is cheaper, Gemini 3.7 Flash or Kimi K2.5?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Kimi K2.5 $0.24.

Which has the bigger context window, Gemini 3.7 Flash or Kimi K2.5?

Gemini 3.7 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.7 Flash vs Kimi K2.5 comparison based on?

79 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-kimi-k2-5">LLMBenchmark.ai, Gemini 3.7 Flash vs Kimi K2.5</a></p>