Gemini 3.5 Flash Lite vs Kimi K2.7 Code

Kimi K2.7 Code leads Gemini 3.5 Flash Lite on coding, 53.4 to 49.0 on the Vibe Coding Index, and Gemini 3.5 Flash Lite costs 1.6x less per output token ($2.50 vs $4.00 per million). Updated October 21, 2026; 25 benchmarks have a result for both.

Replace Gemini 3.5 Flash Lite Replace Kimi K2.7 Code

Gemini 3.5 Flash LiteGoogle

Coding: 49.0
Overall: 49.8
Output $/M: $2.50

Kimi K2.7 CodeMoonshot AI

Coding: 53.4
Overall: 56.7
Output $/M: $4.00

vs boards won of 25 shared, 1 tied

Gemini 3.5 Flash Lite or Kimi K2.7 Code: which to pick

Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite for output tokens 1.6x cheaper ($2.50 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).

Model AGemini 3.5 Flash LiteGoogle49.0/1003 independent benchmarks$0.41 per solved task Model BKimi K2.7 CodeMoonshot AI53.4/1004 independent benchmarks$0.35 per solved task

256026

Shared results: 25
Gemini 3.5 Flash Lite only: 60
Kimi K2.7 Code only: 26
Like-for-like categories: 6 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
Kimi K2.7 Code
Kimi K2.7 Code scores 53.4 against 49.0.
3 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 25.8 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 21.0 against 14.3.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.5 Flash Lite has a GPQA Diamond result, 83.8%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.5 Flash Lite has a MMLU Pro result, 85.8%.
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 3.5 Flash Lite
Gemini 3.5 Flash Lite takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite $0.0015, Kimi K2.7 Code $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
Gemini 3.5 Flash Lite $0.41, Kimi K2.7 Code $0.35.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
Widest category: Math, 21.6 points apart on average over 3 shared benchmarks.
Widest single gap: FrontierMath, tiers 1 to 3: Gemini 3.5 Flash Lite 26.0% against Kimi K2.7 Code 54.0%, 28.1 points apart on a 0 to 100 scale.
Output price: Gemini 3.5 Flash Lite $2.50 against Kimi K2.7 Code $4.00 per million output tokens, 1.6x apart.
Context window: Gemini 3.5 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 3.5 Flash Lite	Kimi K2.7 Code	Ties
Coding	0	12	1 tie
Intelligence	0	2
Agentic work	0	2
Reasoning	1	3
Math	0	3
General	0	1
All shared boards	1	23	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index012

Coding benchmarks for Gemini 3.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 3.5 Flash Lite	Kimi K2.7 Code	Leader
LMArena WebDev	1435	1474	Kimi K2.7 Code
AA Coding Index	49.3	60.8	Kimi K2.7 Code
LiveCodeBench (Vals AI)	79.0%	82.0%	Kimi K2.7 Code
SWE-bench Verified (Vals AI)	75.0%	78.2%	Kimi K2.7 Code
Vibe Code Bench (Vals AI)	37.2%	47.2%	Kimi K2.7 Code
Code migration (Vals AI)	6.2%	25.4%	Kimi K2.7 Code
ProgramBench (Vals AI)	0.0%	0.0%	Tie
Terminal-Bench 2.1 (Vals AI)	50.2%	67.0%	Kimi K2.7 Code
SkillsBench (Vals AI)	Not measured	50.0%	Only Kimi K2.7 Code measured
CyberBench (Vals AI)	59.1%	Not measured	Only Gemini 3.5 Flash Lite measured
SciCode	41.3%	47.8%	Kimi K2.7 Code
Terminal-Bench Hard (Artificial Analysis run)	Not measured	44.7%	Only Kimi K2.7 Code measured
FrontierCode	Not measured	30.1%	Only Kimi K2.7 Code measured
WeirdML	39.0%	54.1%	Kimi K2.7 Code
ALE-Bench	765.3	886.2	Kimi K2.7 Code
LMArena Text: coding	1453	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: software and IT	1451	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena WebDev: React	1408	1475	Kimi K2.7 Code
LMArena WebDev: HTML	Not measured	1451	Only Kimi K2.7 Code measured
LMArena WebDev: from an image	1448	1513	Kimi K2.7 Code
SciCode	6.2%	Not measured	Only Gemini 3.5 Flash Lite measured
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 3.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 3.5 Flash Lite	Kimi K2.7 Code	Leader
AA Intelligence Index	22.2	25.8	Kimi K2.7 Code
Epoch Capabilities Index	144.9	150.1	Kimi K2.7 Code

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

Agentic work benchmarks for Gemini 3.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 3.5 Flash Lite	Kimi K2.7 Code	Leader
AA Agentic Index	14.3	21.0	Kimi K2.7 Code
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
Finance Agent (Vals AI)	47.4%	Not measured	Only Gemini 3.5 Flash Lite measured
Tax Agent Bench (Vals AI)	7.2%	Not measured	Only Gemini 3.5 Flash Lite measured
Legal Research Bench (Vals AI)	13.9%	Not measured	Only Gemini 3.5 Flash Lite measured
Excel Modeling Benchmark (Vals AI)	43.2%	Not measured	Only Gemini 3.5 Flash Lite measured
τ²-Bench Telecom	Not measured	90.1%	Only Kimi K2.7 Code measured
APEX-Agents	29.3%	37.6%	Kimi K2.7 Code
Vending-Bench 2	Not measured	$5,083	Only Kimi K2.7 Code measured
Neither model has a result on the other 25 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index13

Reasoning benchmarks for Gemini 3.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 3.5 Flash Lite	Kimi K2.7 Code	Leader
GPQA Diamond	83.8%	Not measured	Only Gemini 3.5 Flash Lite measured
MMMU Pro (Vals AI)	83.6%	Not measured	Only Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)	83.8%	89.6%	Kimi K2.7 Code
Humanity's Last Exam (Artificial Analysis run)	18.8%	35.0%	Kimi K2.7 Code
GPQA Diamond (Epoch AI run)	83.3%	87.9%	Kimi K2.7 Code
ARC-AGI	53.5%	Not measured	Only Gemini 3.5 Flash Lite measured
ARC-AGI-2	10.3%	Not measured	Only Gemini 3.5 Flash Lite measured
SimpleBench	Not measured	57.9%	Only Kimi K2.7 Code measured
Chess puzzles	21.0%	14.0%	Gemini 3.5 Flash Lite
Mystery game puzzles	19.0%	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts	1441	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: expert	1434	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts in English	1440	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision: diagrams	1284	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision: homework	1291	Not measured	Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 7 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index03

Math benchmarks for Gemini 3.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 3.5 Flash Lite	Kimi K2.7 Code	Leader
OTIS Mock AIME	71.1%	95.6%	Kimi K2.7 Code
FrontierMath, tiers 1 to 3	26.0%	54.0%	Kimi K2.7 Code
FrontierMath, tier 4	0.0%	12.2%	Kimi K2.7 Code
ProofBench	13.0%	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: math	1434	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: mathematical work	1433	Not measured	Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 7 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared

Knowledge benchmarks for Gemini 3.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 3.5 Flash Lite	Kimi K2.7 Code	Leader
MMLU Pro	85.8%	Not measured	Only Gemini 3.5 Flash Lite measured
LegalBench (Vals AI)	84.1%	Not measured	Only Gemini 3.5 Flash Lite measured
CorpFin (Vals AI)	60.7%	Not measured	Only Gemini 3.5 Flash Lite measured
TaxEval (Vals AI)	72.6%	Not measured	Only Gemini 3.5 Flash Lite measured
MortgageTax (Vals AI)	68.7%	Not measured	Only Gemini 3.5 Flash Lite measured
MedCode (Vals AI)	43.5%	Not measured	Only Gemini 3.5 Flash Lite measured
SimpleQA Verified	Not measured	36.5%	Only Kimi K2.7 Code measured
LMArena Text: science	1451	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: medicine and healthcare	1438	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: legal and government	1431	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: business and finance	1423	Not measured	Only Gemini 3.5 Flash Lite measured
FACTS Benchmark Suite	53.5%	Not measured	Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 6 boards here

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

Web design benchmarks for Gemini 3.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 3.5 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 index01

General benchmarks for Gemini 3.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 3.5 Flash Lite	Kimi K2.7 Code	Leader
Public Benefits Bench (Vals AI)	51.8%	Not measured	Only Gemini 3.5 Flash Lite measured
SAGE (Vals AI)	47.3%	Not measured	Only Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)	70.9%	Not measured	Only Gemini 3.5 Flash Lite measured
IFBench	Not measured	63.1%	Only Kimi K2.7 Code measured
Long context reasoning (AA-LCR)	76.0%	79.3%	Kimi K2.7 Code
DTBench	83.5%	Not measured	Only Gemini 3.5 Flash Lite measured
LMCA	37.6%	Not measured	Only Gemini 3.5 Flash Lite measured
Surface Evolver Bench	Not measured	48.8%	Only Kimi K2.7 Code measured
LMArena Text	1435	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: instruction following	1419	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: creative writing	1421	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision	1269	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: English	1438	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: non-English	1427	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: Chinese	1468	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: German	1454	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: Japanese	1426	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: Korean	1407	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: French	1451	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: Spanish	1441	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: Russian	1443	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: Polish	1437	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: multi-turn	1445	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: longer queries	1435	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: writing and language	1428	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: entertainment and media	1414	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision: English	1269	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision: Chinese	1311	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision: reading text	1280	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision: humor	1287	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision: creative writing	1260	Not measured	Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 15 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Gemini 3.5 Flash Lite and Kimi K2.7 Code
Benchmark	Gemini 3.5 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 3.5 Flash Lite$0.0015Fits in one request

Kimi K2.7 Code$0.0029Fits in one request

Gemini 3.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request

Kimi K2.7 Code$0.059Fits in one request

Gemini 3.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits in one request

Kimi K2.7 Code$0.230Fits in one request

Gemini 3.5 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 3.5 Flash Lite and Kimi K2.7 Code
Specification	Google Gemini 3.5 Flash Lite	MoonshotAI Kimi K2.7 Code
Maker	Google	Moonshot AI
Weights	No public weights listed	Open weights
Released	July 21, 2026	June 12, 2026
Context window	1.05M	262K
Input $/Mtok	$0.30	$0.95
Output $/Mtok	$2.50	$4.00
Coding index	49.0	53.4
Independent measurements behind it	3	4
Cost per solved task	$0.41	$0.35
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than Kimi K2.7 Code for coding?

Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite for output tokens 1.6x cheaper ($2.50 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, Gemini 3.5 Flash Lite or Kimi K2.7 Code?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and Kimi K2.7 Code $0.35.

Which has the bigger context window, Gemini 3.5 Flash Lite or Kimi K2.7 Code?

Gemini 3.5 Flash Lite, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.5 Flash Lite vs Kimi K2.7 Code comparison based on?

25 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 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.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-5-flash-lite-vs-kimi-k2-7-code" title="Gemini 3.5 Flash Lite vs Kimi K2.7 Code, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-5-flash-lite-vs-kimi-k2-7-code">LLMBenchmark.ai, Gemini 3.5 Flash Lite vs Kimi K2.7 Code</a></p>

Gemini 3.5 Flash Lite or Kimi K2.7 Code: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

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

Compare next