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Gemini 2.5 Pro vs Kimi K2.5

Kimi K2.5 leads Gemini 2.5 Pro on coding, 38.6 to 19.1 on the Vibe Coding Index, and Kimi K2.5 costs 3.5x less per output token ($2.85 vs $10.00 per million). Updated October 22, 2026; 71 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Kimi K2.5
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
28
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
43
vs boards won of 71 shared

Gemini 2.5 Pro or Kimi K2.5: which to pick

Pick Kimi K2.5 for coding: it scores 38.6 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for a larger context window (1.05M against 262K tokens) and work measured by WeirdML or LMArena Text: hard prompts, where it leads.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BKimi K2.5Moonshot AI38.6/1003 independent benchmarks$0.24 per solved task
Shared results
71
Gemini 2.5 Pro only
19
Kimi K2.5 only
28
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 2.5 Pro 19.1 from 3 benchmarks, Kimi K2.5 38.6 from 3 benchmarks.
Widest category
Agentic work, 22.9 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemini 2.5 Pro 54.1% against Kimi K2.5 95.9%, 41.8 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Kimi K2.5 $2.85 per million output tokens, 3.5x apart.
Context window
Gemini 2.5 Pro 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 ProBarsKimi K2.5Ties
Coding111
Intelligence02
Agentic work02
Reasoning19
Math02
Knowledge71
Web design15
General1811
All shared boards2843
CodingLike-for-likeSix of these boards feed the Vibe Coding Index111
Coding benchmarks for Gemini 2.5 Pro and Kimi K2.5
BenchmarkGemini 2.5 ProKimi K2.5Leader
SWE-bench Verified53.6%70.8%Kimi K2.5
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDev12261437Kimi K2.5
AA Coding Index33.346.8Kimi K2.5
LiveCodeBench (Vals AI)Not measured83.9%Only Kimi K2.5 measured
SWE-bench Verified (Vals AI)54.4%70.0%Kimi K2.5
Vibe Code Bench (Vals AI)0.4%17.5%Kimi K2.5
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)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)26.5%34.8%Kimi K2.5
Terminal-Bench32.6%43.2%Kimi K2.5
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%45.6%Gemini 2.5 Pro
ALE-BenchNot measured821.6Only Kimi K2.5 measured
LMArena Text: coding14521483Kimi K2.5
LMArena Text: software and IT14591471Kimi K2.5
LMArena WebDev: ReactNot measured1429Only Kimi K2.5 measured
LMArena WebDev: HTML12351426Kimi K2.5
LMArena WebDev: from an image12851439Kimi K2.5
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and Kimi K2.5
BenchmarkGemini 2.5 ProKimi K2.5Leader
AA Intelligence Index16.123.5Kimi K2.5
Epoch Capabilities Index145.1148.1Kimi K2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Pro and Kimi K2.5
BenchmarkGemini 2.5 ProKimi K2.5Leader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
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 measured1118Only 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 Telecom54.1%95.9%Kimi K2.5
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2$574$1,198Kimi K2.5
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index19
Reasoning benchmarks for Gemini 2.5 Pro and Kimi K2.5
BenchmarkGemini 2.5 ProKimi 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)84.4%87.9%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)22.5%30.7%Kimi K2.5
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%65.3%Kimi K2.5
ARC-AGI-24.9%11.8%Kimi K2.5
SimpleBenchNot measured46.8%Only Kimi K2.5 measured
LMArena Text: hard prompts14551453Gemini 2.5 Pro
LMArena Text: expert14521466Kimi K2.5
LMArena Text: hard prompts in English14531460Kimi K2.5
LMArena Vision: diagrams12741282Kimi K2.5
LMArena Vision: homework12811297Kimi K2.5
Kagi LLM Benchmark70.3%78.5%Kimi K2.5
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Pro and Kimi K2.5
BenchmarkGemini 2.5 ProKimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math14501470Kimi K2.5
LMArena Text: mathematical work14541473Kimi K2.5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index71
Knowledge benchmarks for Gemini 2.5 Pro and Kimi K2.5
BenchmarkGemini 2.5 ProKimi K2.5Leader
MMLU ProNot measured85.9%Only Kimi K2.5 measured
CaseLaw (Vals AI)63.9%58.7%Gemini 2.5 Pro
CorpFin (Vals AI)60.8%68.3%Kimi K2.5
TaxEval (Vals AI)Not measured74.2%Only Kimi K2.5 measured
MortgageTax (Vals AI)68.9%66.5%Gemini 2.5 Pro
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)50.6%39.3%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
SimpleQA VerifiedNot measured34.3%Only Kimi K2.5 measured
LMArena Text: science14801459Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761448Gemini 2.5 Pro
LMArena Text: legal and government14801441Gemini 2.5 Pro
LMArena Text: business and finance14391427Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index15
Web design benchmarks for Gemini 2.5 Pro and Kimi K2.5
BenchmarkGemini 2.5 ProKimi K2.5Leader
Design Arena: websites11671248Kimi K2.5
Design Arena: UI components11371234Kimi K2.5
Design Arena: game dev11111206Kimi K2.5
Design Arena: data viz12221219Gemini 2.5 Pro
Design Arena: 3D10801204Kimi K2.5
Design Arena: all code categories11521236Kimi K2.5
Design Arena: SVGNot measured1149Only Kimi K2.5 measured
Design Arena: ASCII artNot measured1166Only 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 index1811
General benchmarks for Gemini 2.5 Pro and Kimi K2.5
BenchmarkGemini 2.5 ProKimi K2.5Leader
SAGE (Vals AI)41.9%49.9%Kimi K2.5
MedScribe (Vals AI)73.5%76.4%Kimi K2.5
IFBench48.7%70.2%Kimi K2.5
Long context reasoning (AA-LCR)69.0%78.0%Kimi K2.5
DTBench82.4%Not measuredOnly Gemini 2.5 Pro measured
LMCA34.8%Not measuredOnly Gemini 2.5 Pro measured
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text14581445Gemini 2.5 Pro
LMArena Text: instruction following14371431Gemini 2.5 Pro
LMArena Text: creative writing14541422Gemini 2.5 Pro
LMArena Vision12631269Kimi K2.5
LMArena Text: English14581453Gemini 2.5 Pro
LMArena Text: non-English14521433Gemini 2.5 Pro
LMArena Text: Chinese15071494Gemini 2.5 Pro
LMArena Text: German14871441Gemini 2.5 Pro
LMArena Text: Japanese14611423Gemini 2.5 Pro
LMArena Text: Korean14341412Gemini 2.5 Pro
LMArena Text: French14731454Gemini 2.5 Pro
LMArena Text: Spanish14741450Gemini 2.5 Pro
LMArena Text: Russian14611435Gemini 2.5 Pro
LMArena Text: Polish14791445Gemini 2.5 Pro
LMArena Text: multi-turn14531444Gemini 2.5 Pro
LMArena Text: longer queries14491445Gemini 2.5 Pro
LMArena Text: writing and language14541425Gemini 2.5 Pro
LMArena Text: entertainment and media14411417Gemini 2.5 Pro
LMArena Vision: English12611274Kimi K2.5
LMArena Vision: Chinese13001328Kimi K2.5
LMArena Vision: reading text12701276Kimi K2.5
LMArena Vision: humor12621284Kimi K2.5
LMArena Vision: captioning13041257Gemini 2.5 Pro
LMArena Vision: recognizing things12831285Kimi K2.5
LMArena Vision: creative writing12651269Kimi K2.5
LMArena Document1421Not measuredOnly Gemini 2.5 Pro 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 2.5 Pro and Kimi K2.5
BenchmarkGemini 2.5 ProKimi 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 Pro$0.0063Fits in one request
Kimi K2.5$0.0020Fits in one request

Kimi K2.5 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Kimi K2.5$0.035Fits in one request

Kimi K2.5 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits 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 2.5 Pro and Kimi K2.5
SpecificationGoogle Gemini 2.5 ProMoonshotAI Kimi K2.5
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025January 27, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.532
Output $/Mtok$10.00$2.85
Coding index19.138.6
Independent measurements behind it33
Cost per solved task$0.64$0.24
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Kimi K2.5 for coding: it scores 38.6 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for a larger context window (1.05M against 262K tokens) and work measured by WeirdML or LMArena Text: hard prompts, where it leads.

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

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Kimi K2.5 $0.24.

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

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

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

71 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 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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