Gemini 2.5 Flash Lite vs Kimi K2.7 Code

Kimi K2.7 Code leads Gemini 2.5 Flash Lite on the Artificial Analysis Intelligence Index, 25.8 to 10.4, and Gemini 2.5 Flash Lite costs 10.0x less per output token ($0.40 vs $4.00 per million). Updated October 21, 2026; 9 benchmarks have a result for both.

Replace Gemini 2.5 Flash Lite Replace Kimi K2.7 Code

Gemini 2.5 Flash LiteGoogle

Coding: No data
Overall: 10.4
Output $/M: $0.40

Kimi K2.7 CodeMoonshot AI

Coding: 53.4
Overall: 25.8
Output $/M: $4.00

vs boards won of 9 shared

Gemini 2.5 Flash Lite or Kimi K2.7 Code: which to pick

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash Lite for output tokens 10.0x cheaper ($0.40 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).

Model AGemini 2.5 Flash LiteGoogleNot benchmarkedNo coding benchmarkNo cost per solved task Model BKimi K2.7 CodeMoonshot AI53.4/1004 independent benchmarks$0.35 per solved task

91942

Shared results: 9
Gemini 2.5 Flash Lite only: 19
Kimi K2.7 Code only: 42
Like-for-like categories: 5 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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Kimi K2.7 Code has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 25.8 against 10.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Kimi K2.7 Code has a AA Agentic Index result, 21.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 2.5 Flash Lite has a GPQA Diamond result, 70.2%.
Directional only
Math
AIME
No call
Only Gemini 2.5 Flash Lite has a AIME result, 42.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 2.5 Flash Lite has a MMLU Pro result, 79.1%.
Directional only
Web design
Design Arena: websites
No call
Only Kimi K2.7 Code has a Design Arena: websites result, 1264.
Directional only
Long documents
Listed context window
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite $0.0003, Kimi K2.7 Code $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K2.7 Code has the number, $0.35.
Directional only

At a glance

Coding index: Gemini 2.5 Flash Lite not benchmarked, Kimi K2.7 Code 53.4 from 4 benchmarks.
Widest category: Agentic work, 71.1 points apart on average over 1 shared benchmark.
Widest single gap: τ²-Bench Telecom: Gemini 2.5 Flash Lite 19.0% against Kimi K2.7 Code 90.1%, 71.1 points apart on a 0 to 100 scale.
Output price: Gemini 2.5 Flash Lite $0.40 against Kimi K2.7 Code $4.00 per million output tokens, 10.0x apart.
Context window: Gemini 2.5 Flash Lite takes 1.05M tokens, Kimi K2.7 Code 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
Category	Gemini 2.5 Flash Lite	Bars	Kimi K2.7 Code	Ties
Coding	0		2
Intelligence	0		2
Agentic work	0		1
Reasoning	0		2
General	0		2
All shared boards	0		9

CodingLike-for-likeSix of these boards feed the Vibe Coding Index02

Coding benchmarks for Gemini 2.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 2.5 Flash Lite	Kimi K2.7 Code	Leader
LMArena WebDev	Not measured	1474	Only Kimi K2.7 Code measured
AA Coding Index	Not measured	60.8	Only Kimi K2.7 Code measured
LiveCodeBench (Vals AI)	71.4%	82.0%	Kimi K2.7 Code
SWE-bench Verified (Vals AI)	Not measured	78.2%	Only Kimi K2.7 Code measured
Vibe Code Bench (Vals AI)	Not measured	47.2%	Only Kimi K2.7 Code measured
Code migration (Vals AI)	Not measured	25.4%	Only Kimi K2.7 Code measured
ProgramBench (Vals AI)	Not measured	0.0%	Only Kimi K2.7 Code measured
Terminal-Bench 2.1 (Vals AI)	Not measured	67.0%	Only Kimi K2.7 Code measured
SkillsBench (Vals AI)	Not measured	50.0%	Only Kimi K2.7 Code measured
LiveCodeBench (Artificial Analysis run)	59.3%	Not measured	Only Gemini 2.5 Flash Lite measured
SciCode	Not measured	47.8%	Only Kimi K2.7 Code measured
Terminal-Bench Hard (Artificial Analysis run)	4.5%	44.7%	Kimi K2.7 Code
FrontierCode	Not measured	30.1%	Only Kimi K2.7 Code measured
WeirdML	Not measured	54.1%	Only Kimi K2.7 Code measured
ALE-Bench	Not measured	886.2	Only Kimi K2.7 Code measured
LMArena WebDev: React	Not measured	1475	Only Kimi K2.7 Code measured
LMArena WebDev: HTML	Not measured	1451	Only Kimi K2.7 Code measured
LMArena WebDev: from an image	Not measured	1513	Only Kimi K2.7 Code measured
Neither model has a result on the other 20 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for Gemini 2.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 2.5 Flash Lite	Kimi K2.7 Code	Leader
AA Intelligence Index	10.4	25.8	Kimi K2.7 Code
Epoch Capabilities Index	133.8	150.1	Kimi K2.7 Code

Agentic workLike-for-likePublic boards, shown as published, kept out of the index01

Agentic work benchmarks for Gemini 2.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 2.5 Flash Lite	Kimi K2.7 Code	Leader
AA Agentic Index	Not measured	21.0	Only Kimi K2.7 Code measured
Design Arena: agents building web apps	Not measured	1176	Only Kimi K2.7 Code measured
Design Arena: agents building full-stack apps	Not measured	1175	Only Kimi K2.7 Code measured
Design Arena: agents building mobile apps	Not measured	1143	Only Kimi K2.7 Code measured
Design Arena: agents building Android apps	Not measured	1137	Only Kimi K2.7 Code measured
Design Arena: agents building Godot games	Not measured	1147	Only Kimi K2.7 Code measured
Design Arena: agents building games	Not measured	1131	Only Kimi K2.7 Code measured
Design Arena: HTML slides	Not measured	1201	Only Kimi K2.7 Code measured
Design Arena: PowerPoint slides	Not measured	1154	Only Kimi K2.7 Code measured
τ²-Bench Telecom	19.0%	90.1%	Kimi K2.7 Code
APEX-Agents	Not measured	37.6%	Only Kimi K2.7 Code measured
Vending-Bench 2	Not measured	$5,083	Only Kimi K2.7 Code measured
Neither model has a result on the other 27 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index02

Reasoning benchmarks for Gemini 2.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 2.5 Flash Lite	Kimi K2.7 Code	Leader
GPQA Diamond	70.2%	Not measured	Only Gemini 2.5 Flash Lite measured
MMMU Pro (Vals AI)	75.4%	Not measured	Only Gemini 2.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)	62.5%	89.6%	Kimi K2.7 Code
Humanity's Last Exam (Artificial Analysis run)	6.8%	35.0%	Kimi K2.7 Code
GPQA Diamond (Epoch AI run)	Not measured	87.9%	Only Kimi K2.7 Code measured
SimpleBench	Not measured	57.9%	Only Kimi K2.7 Code measured
Chess puzzles	Not measured	14.0%	Only Kimi K2.7 Code measured
Neither model has a result on the other 14 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared

Math benchmarks for Gemini 2.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 2.5 Flash Lite	Kimi K2.7 Code	Leader
AIME	42.1%	Not measured	Only Gemini 2.5 Flash Lite measured
MGSM (Vals AI)	89.5%	Not measured	Only Gemini 2.5 Flash Lite measured
AA Math Index	53.3	Not measured	Only Gemini 2.5 Flash Lite measured
AIME 2025 (Artificial Analysis run)	53.3%	Not measured	Only Gemini 2.5 Flash Lite measured
OTIS Mock AIME	Not measured	95.6%	Only Kimi K2.7 Code measured
FrontierMath, tiers 1 to 3	Not measured	54.0%	Only Kimi K2.7 Code measured
FrontierMath, tier 4	Not measured	12.2%	Only Kimi K2.7 Code measured
Neither model has a result on the other 6 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared

Knowledge benchmarks for Gemini 2.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 2.5 Flash Lite	Kimi K2.7 Code	Leader
MMLU Pro	79.1%	Not measured	Only Gemini 2.5 Flash Lite measured
LegalBench (Vals AI)	82.0%	Not measured	Only Gemini 2.5 Flash Lite measured
CorpFin (Vals AI)	57.6%	Not measured	Only Gemini 2.5 Flash Lite measured
TaxEval (Vals AI)	66.2%	Not measured	Only Gemini 2.5 Flash Lite measured
MortgageTax (Vals AI)	57.6%	Not measured	Only Gemini 2.5 Flash Lite measured
MedQA (Vals AI)	88.9%	Not measured	Only Gemini 2.5 Flash Lite measured
MedCode (Vals AI)	34.2%	Not measured	Only Gemini 2.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)	75.9%	Not measured	Only Gemini 2.5 Flash Lite measured
SimpleQA Verified	Not measured	36.5%	Only Kimi K2.7 Code measured
Neither model has a result on the other 8 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared

Web design benchmarks for Gemini 2.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 2.5 Flash Lite	Kimi K2.7 Code	Leader
Design Arena: websites	Not measured	1264	Only Kimi K2.7 Code measured
Design Arena: UI components	Not measured	1259	Only Kimi K2.7 Code measured
Design Arena: game dev	Not measured	1220	Only Kimi K2.7 Code measured
Design Arena: data viz	Not measured	1227	Only Kimi K2.7 Code measured
Design Arena: 3D	Not measured	1241	Only Kimi K2.7 Code measured
Design Arena: all code categories	Not measured	1253	Only Kimi K2.7 Code measured
Design Arena: SVG	Not measured	1176	Only Kimi K2.7 Code measured
Design Arena: ASCII art	Not measured	1196	Only Kimi K2.7 Code measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index02

General benchmarks for Gemini 2.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 2.5 Flash Lite	Kimi K2.7 Code	Leader
SAGE (Vals AI)	30.8%	Not measured	Only Gemini 2.5 Flash Lite measured
MedScribe (Vals AI)	75.8%	Not measured	Only Gemini 2.5 Flash Lite measured
IFBench	49.9%	63.1%	Kimi K2.7 Code
Long context reasoning (AA-LCR)	55.7%	79.3%	Kimi K2.7 Code
DTBench	62.8%	Not measured	Only Gemini 2.5 Flash Lite measured
LMCA	18.1%	Not measured	Only Gemini 2.5 Flash Lite measured
Surface Evolver Bench	Not measured	48.8%	Only Kimi K2.7 Code measured
Neither model has a result on the other 39 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 Lite and Kimi K2.7 Code
Benchmark	Gemini 2.5 Flash Lite	Kimi K2.7 Code	Leader
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 Lite$0.0003Fits in one request

Kimi K2.7 Code$0.0029Fits in one request

Gemini 2.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash Lite$0.0062Fits in one request

Kimi K2.7 Code$0.059Fits in one request

Gemini 2.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash Lite$0.024Fits in one request

Kimi K2.7 Code$0.230Fits in one request

Gemini 2.5 Flash Lite 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 Lite and Kimi K2.7 Code
Specification	Google Gemini 2.5 Flash Lite	MoonshotAI Kimi K2.7 Code
Maker	Google	Moonshot AI
Weights	No public weights listed	Open weights
Released	July 22, 2025	June 12, 2026
Context window	1.05M	262K
Input $/Mtok	$0.10	$0.95
Output $/Mtok	$0.40	$4.00
Coding index	Not benchmarked	53.4
Independent measurements behind it	0	4
Cost per solved task	Not computable	$0.35
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 2.5 Flash Lite better than Kimi K2.7 Code for coding?

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for output tokens 10.0x cheaper ($0.40 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, Gemini 2.5 Flash Lite or Kimi K2.7 Code?

Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Cost per solved task is known for Kimi K2.7 Code only.

Which has the bigger context window, Gemini 2.5 Flash Lite or Kimi K2.7 Code?

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

How many benchmarks is the Gemini 2.5 Flash Lite vs Kimi K2.7 Code comparison based on?

9 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 independent benchmarks and Kimi K2.7 Code's on 4. Where only one model has a result, the page says so instead of naming a winner.

Gemini 2.5 Flash Lite or Kimi K2.7 Code: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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