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Gemini 2.5 Pro Preview 06-05 vs Kimi K2 Thinking

Kimi K2 Thinking costs 4.0x less per output token than Gemini 2.5 Pro Preview 06-05 ($2.50 vs $10.00 per million). Updated October 22, 2026; 6 benchmarks have a result for both.

Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
2
Kimi K2 ThinkingMoonshot AI
Coding
No data
Overall
No data
Output $/M
$2.50
4
vs boards won of 6 shared

Gemini 2.5 Pro Preview 06-05 or Kimi K2 Thinking: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 262K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or METR time horizons, where it leads.

Shared results
6
Gemini 2.5 Pro Preview 06-05 only
9
Kimi K2 Thinking only
24
Like-for-like categories
4 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 Preview 06-05 not benchmarked, Kimi K2 Thinking not benchmarked.
Widest category
Coding, 11.8 points apart on average over 2 shared benchmarks.
Widest single gap
LiveCodeBench (Vals AI): Gemini 2.5 Pro Preview 06-05 79.2% against Kimi K2 Thinking 63.1%, 16.0 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against Kimi K2 Thinking $2.50 per million output tokens, 4.0x apart.
Context window
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens, Kimi K2 Thinking 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 Pro Preview 06-05BarsKimi K2 ThinkingTies
Coding11
Agentic work01
Reasoning02
Knowledge10
All shared boards24
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K2 ThinkingLeader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SWE-bench VerifiedNot measured63.4%Only Kimi K2 Thinking measured
LiveCodeBench (Vals AI)79.2%63.1%Gemini 2.5 Pro Preview 06-05
SWE-bench Verified (Vals AI)Not measured60.2%Only Kimi K2 Thinking measured
LiveCodeBench (Artificial Analysis run)77.8%85.3%Kimi K2 Thinking
Terminal-Bench Hard (Artificial Analysis run)Not measured31.1%Only Kimi K2 Thinking measured
Terminal-BenchNot measured35.7%Only Kimi K2 Thinking measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
WeirdMLNot measured42.8%Only Kimi K2 Thinking measured
ALE-BenchNot measured597.5Only Kimi K2 Thinking measured
SciCode7.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K2 ThinkingLeader
AA Intelligence IndexNot measured22.0Only Kimi K2 Thinking measured
Epoch Capabilities IndexNot measured145.8Only Kimi K2 Thinking measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K2 ThinkingLeader
τ²-Bench TelecomNot measured93.0%Only Kimi K2 Thinking measured
METR time horizons55.4%59.2%Kimi K2 Thinking
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K2 ThinkingLeader
GPQA DiamondNot measured78.5%Only Kimi K2 Thinking measured
GPQA Diamond (Artificial Analysis run)83.6%83.8%Kimi K2 Thinking
Humanity's Last Exam (Artificial Analysis run)19.9%23.8%Kimi K2 Thinking
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K2 ThinkingLeader
AIMENot measured85.4%Only Kimi K2 Thinking measured
MGSM (Vals AI)Not measured90.2%Only Kimi K2 Thinking measured
AA Math IndexNot measured94.7Only Kimi K2 Thinking measured
AIME 2025 (Artificial Analysis run)Not measured94.7%Only Kimi K2 Thinking measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K2 ThinkingLeader
MMLU ProNot measured81.1%Only Kimi K2 Thinking measured
LegalBench (Vals AI)Not measured80.2%Only Kimi K2 Thinking measured
CaseLaw (Vals AI)Not measured65.7%Only Kimi K2 Thinking measured
CorpFin (Vals AI)Not measured60.6%Only Kimi K2 Thinking measured
TaxEval (Vals AI)Not measured71.7%Only Kimi K2 Thinking measured
MedQA (Vals AI)Not measured92.6%Only Kimi K2 Thinking measured
MMLU Pro (Artificial Analysis run)85.8%84.8%Gemini 2.5 Pro Preview 06-05
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K2 ThinkingLeader
Design Arena: websitesNot measured1113Only Kimi K2 Thinking measured
Neither model has a result on the other 8 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K2 ThinkingLeader
IFBenchNot measured68.1%Only Kimi K2 Thinking measured
Long context reasoning (AA-LCR)Not measured72.0%Only Kimi K2 Thinking measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
CL-benchNot measured17.6%Only Kimi K2 Thinking measured
Neither model has a result on the other 42 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 Preview 06-05 and Kimi K2 Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K2 ThinkingLeader
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 Preview 06-05$0.0063Fits in one request
Kimi K2 Thinking$0.0019Fits in one request

Kimi K2 Thinking costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
Kimi K2 Thinking$0.037Fits in one request

Kimi K2 Thinking costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
Kimi K2 Thinking$0.145Fits in one request

Kimi K2 Thinking 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 Preview 06-05 and Kimi K2 Thinking
SpecificationGoogle Gemini 2.5 Pro Preview 06-05MoonshotAI Kimi K2 Thinking
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedJune 5, 2025November 6, 2025
Context window1.05M262K
Input $/Mtok$1.25$0.60
Output $/Mtok$10.00$2.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.61
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than Kimi K2 Thinking for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 262K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or METR time horizons, where it leads.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Kimi K2 Thinking?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; Kimi K2 Thinking costs $0.60 and $2.50. Cost per solved task is known for Kimi K2 Thinking only.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or Kimi K2 Thinking?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs Kimi K2 Thinking comparison based on?

6 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 0 independent benchmarks and Kimi K2 Thinking's on 1. Where only one model has a result, the page says so instead of naming a winner.

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