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Gemini 2.5 Flash vs Kimi K2.5

Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 2.5 Flash Replace Kimi K2.5
Gemini 2.5 FlashGoogle
Coding
28.7
Overall
15.5
Output $/M
$2.50
3
Kimi K2.5Moonshot AI
Coding
58.5
Overall
23.5
Output $/M
$2.50
59
vs boards won of 62 shared

Decision reading

Pick Kimi K2.5 for coding: it scores 58.5 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash.

Pick Gemini 2.5 Flash when the context window is larger, 1.05M against 262K tokens, or when what matters is MedCode (Vals AI) or MedScribe (Vals AI), where it leads.

Model AGemini 2.5 FlashGoogle28.7/1001 independent benchmark$0.466 per solved taskModel BKimi K2.5Moonshot AI58.5/1002 independent benchmarks$0.24 per solved task
Shared results
62
Gemini 2.5 Flash only
7
Kimi K2.5 only
36
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 2.5 Flash 28.7 from 1 benchmark, Kimi K2.5 58.5 from 2 benchmarks.
Widest category
Agentic work, 34.2 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemini 2.5 Flash 31.6% against Kimi K2.5 95.9%, 64.3 points apart on a 0 to 100 scale.
Output price
Both cost $2.50 per million output tokens.
Context window
Gemini 2.5 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 2.5 FlashBarsKimi K2.5Ties
Coding05
Intelligence02
Agentic work02
Reasoning010
Math02
Knowledge14
Web design07
General227
All shared boards359
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for Gemini 2.5 Flash and Kimi K2.5
BenchmarkGemini 2.5 FlashKimi K2.5Leader
SWE-bench Verified28.7%70.8%Kimi K2.5
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDevNot measured1437Only Kimi K2.5 measured
AA Coding IndexNot measured46.8Only Kimi K2.5 measured
LiveCodeBench (Vals AI)Not measured83.9%Only Kimi K2.5 measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Kimi K2.5 measured
Vibe Code Bench (Vals AI)Not measured17.5%Only Kimi K2.5 measured
Code migration (Vals AI)Not measured7.0%Only Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Kimi K2.5 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)13.6%34.8%Kimi K2.5
Terminal-Bench17.1%43.2%Kimi K2.5
WeirdMLNot measured45.6%Only Kimi K2.5 measured
ALE-BenchNot measured821.6Only Kimi K2.5 measured
LMArena Text: coding14231483Kimi K2.5
LMArena Text: software and IT14251471Kimi K2.5
LMArena WebDev: ReactNot measured1429Only Kimi K2.5 measured
LMArena WebDev: HTMLNot measured1426Only Kimi K2.5 measured
LMArena WebDev: from an imageNot measured1439Only Kimi K2.5 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Flash and Kimi K2.5
BenchmarkGemini 2.5 FlashKimi K2.5Leader
AA Intelligence Index15.523.5Kimi K2.5
Epoch Capabilities Index142.9148.1Kimi K2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Flash and Kimi K2.5
BenchmarkGemini 2.5 FlashKimi K2.5Leader
Design Arena: agents building web appsNot measured1136Only Kimi K2.5 measured
Design Arena: agents building full-stack appsNot measured1114Only Kimi K2.5 measured
Design Arena: agents building mobile appsNot measured1147Only Kimi K2.5 measured
Design Arena: agents building Android appsNot measured1124Only Kimi K2.5 measured
Design Arena: agents building Godot gamesNot measured1219Only Kimi K2.5 measured
Finance Agent (Vals AI)Not measured35.8%Only Kimi K2.5 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)Not measured28.5%Only Kimi K2.5 measured
τ²-Bench Telecom31.6%95.9%Kimi K2.5
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2$549$1,198Kimi K2.5
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index010
Reasoning benchmarks for Gemini 2.5 Flash and Kimi K2.5
BenchmarkGemini 2.5 FlashKimi K2.5Leader
GPQA DiamondNot measured84.1%Only Kimi K2.5 measured
MMMU Pro (Vals AI)Not measured84.3%Only Kimi K2.5 measured
GPQA Diamond (Artificial Analysis run)79.0%87.9%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)12.1%30.7%Kimi K2.5
ARC-AGI33.3%65.3%Kimi K2.5
ARC-AGI-22.5%11.8%Kimi K2.5
SimpleBench41.2%46.8%Kimi K2.5
LMArena Text: hard prompts14221453Kimi K2.5
LMArena Text: expert14261466Kimi K2.5
LMArena Text: hard prompts in English14201460Kimi K2.5
LMArena Vision: diagrams12451282Kimi K2.5
LMArena Vision: homework12441297Kimi K2.5
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash and Kimi K2.5
BenchmarkGemini 2.5 FlashKimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: math14111470Kimi K2.5
LMArena Text: mathematical work14221473Kimi K2.5
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for Gemini 2.5 Flash and Kimi K2.5
BenchmarkGemini 2.5 FlashKimi K2.5Leader
MMLU ProNot measured85.9%Only Kimi K2.5 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)Not measured74.2%Only Kimi K2.5 measured
MortgageTax (Vals AI)Not measured66.5%Only Kimi K2.5 measured
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)40.4%39.3%Gemini 2.5 Flash
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
SimpleQA VerifiedNot measured34.3%Only Kimi K2.5 measured
LMArena Text: science14331459Kimi K2.5
LMArena Text: medicine and healthcare14281448Kimi K2.5
LMArena Text: legal and government14301441Kimi K2.5
LMArena Text: business and finance14041427Kimi K2.5
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Gemini 2.5 Flash and Kimi K2.5
BenchmarkGemini 2.5 FlashKimi K2.5Leader
Design Arena: websites10741249Kimi K2.5
Design Arena: UI components10051236Kimi K2.5
Design Arena: game dev10051207Kimi K2.5
Design Arena: data viz10601219Kimi K2.5
Design Arena: 3D10211205Kimi K2.5
Design Arena: all code categories10591236Kimi K2.5
Design Arena: SVG10181149Kimi K2.5
Design Arena: ASCII artNot measured1165Only Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index227
General benchmarks for Gemini 2.5 Flash and Kimi K2.5
BenchmarkGemini 2.5 FlashKimi K2.5Leader
SAGE (Vals AI)44.8%49.9%Kimi K2.5
MedScribe (Vals AI)83.0%76.4%Gemini 2.5 Flash
IFBench50.3%70.2%Kimi K2.5
Long context reasoning (AA-LCR)65.3%78.0%Kimi K2.5
DTBench76.5%Not measuredOnly Gemini 2.5 Flash measured
LMCA27.5%Not measuredOnly Gemini 2.5 Flash measured
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text14171445Kimi K2.5
LMArena Text: instruction following14051431Kimi K2.5
LMArena Text: creative writing14001422Kimi K2.5
LMArena Vision12351269Kimi K2.5
LMArena Text: English14181453Kimi K2.5
LMArena Text: non-English14091433Kimi K2.5
LMArena Text: Chinese14491494Kimi K2.5
LMArena Text: German14171441Kimi K2.5
LMArena Text: Japanese13961423Kimi K2.5
LMArena Text: Korean13851412Kimi K2.5
LMArena Text: French14321454Kimi K2.5
LMArena Text: Spanish14221450Kimi K2.5
LMArena Text: Russian14151435Kimi K2.5
LMArena Text: Polish14131445Kimi K2.5
LMArena Text: multi-turn14081444Kimi K2.5
LMArena Text: longer queries14191445Kimi K2.5
LMArena Text: writing and language14051425Kimi K2.5
LMArena Text: entertainment and media13931417Kimi K2.5
LMArena Vision: English12391274Kimi K2.5
LMArena Vision: Chinese12841328Kimi K2.5
LMArena Vision: reading text12371276Kimi K2.5
LMArena Vision: humor12251284Kimi K2.5
LMArena Vision: captioning12771257Gemini 2.5 Flash
LMArena Vision: recognizing things12521285Kimi K2.5
LMArena Vision: creative writing12411269Kimi K2.5
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
Image generation benchmarks for Gemini 2.5 Flash and Kimi K2.5
BenchmarkGemini 2.5 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 2.5 Flash$0.0015Fits in one request
Kimi K2.5$0.0018Fits in one request

Gemini 2.5 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Kimi K2.5$0.033Fits in one request

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Kimi K2.5$0.125Fits in one request

Gemini 2.5 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.

Specifications of Gemini 2.5 Flash and Kimi K2.5
SpecificationGoogle Gemini 2.5 FlashMoonshotAI Kimi K2.5
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025January 27, 2026
Context window1.05M262K
Input $/Mtok$0.30$0.50
Output $/Mtok$2.50$2.50
Coding index28.758.5
Independent measurements behind it12
Cost per solved task$0.466$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than Kimi K2.5 for coding?

Pick Kimi K2.5 for coding: it scores 58.5 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash. Pick Gemini 2.5 Flash when the context window is larger, 1.05M against 262K tokens, or when what matters is MedCode (Vals AI) or MedScribe (Vals AI), where it leads.

Which is cheaper, Gemini 2.5 Flash or Kimi K2.5?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Kimi K2.5 costs $0.50 and $2.50. Per solved SWE-bench Verified task, Gemini 2.5 Flash costs $0.466 and Kimi K2.5 $0.24.

Which has the bigger context window, Gemini 2.5 Flash or Kimi K2.5?

Gemini 2.5 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 2.5 Flash vs Kimi K2.5 comparison based on?

62 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 1 independent benchmark and Kimi K2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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