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Gemini 3.5 Flash Lite vs Kimi K2 Thinking

Gemini 3.5 Flash Lite leads Kimi K2 Thinking on the Artificial Analysis Intelligence Index, 22.2 to 22.0, at about the same output price ($2.50 vs $2.50 per million). Updated October 22, 2026; 14 benchmarks have a result for both.

Gemini 3.5 Flash LiteGoogle
Coding
49.0
Overall
49.8
Output $/M
$2.50
10
Kimi K2 ThinkingMoonshot AI
Coding
No data
Overall
No data
Output $/M
$2.50
3
vs boards won of 14 shared, 1 tied

Gemini 3.5 Flash Lite or Kimi K2 Thinking: which to pick

Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding.

Pick Kimi K2 Thinking for work measured by WeirdML or Epoch Capabilities Index, where it leads.

Shared results
14
Gemini 3.5 Flash Lite only
71
Kimi K2 Thinking only
16
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.

At a glance

Coding index
Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, Kimi K2 Thinking not benchmarked.
Widest category
Coding, 10.0 points apart on average over 4 shared benchmarks.
Widest single gap
LiveCodeBench (Vals AI): Gemini 3.5 Flash Lite 79.0% against Kimi K2 Thinking 63.1%, 15.9 points apart on a 0 to 100 scale.
Output price
Both cost $2.50 per million output tokens.
Context window
Gemini 3.5 Flash Lite 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 3.5 Flash LiteBarsKimi K2 ThinkingTies
Coding31
Intelligence11
Reasoning111 tie
Knowledge40
General10
All shared boards1031 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for Gemini 3.5 Flash Lite and Kimi K2 Thinking
BenchmarkGemini 3.5 Flash LiteKimi K2 ThinkingLeader
SWE-bench VerifiedNot measured63.4%Only Kimi K2 Thinking measured
LMArena WebDev1435Not measuredOnly Gemini 3.5 Flash Lite measured
AA Coding Index49.3Not measuredOnly Gemini 3.5 Flash Lite measured
LiveCodeBench (Vals AI)79.0%63.1%Gemini 3.5 Flash Lite
SWE-bench Verified (Vals AI)75.0%60.2%Gemini 3.5 Flash Lite
Vibe Code Bench (Vals AI)37.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Code migration (Vals AI)6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly Gemini 3.5 Flash Lite measured
CyberBench (Vals AI)59.1%Not measuredOnly Gemini 3.5 Flash Lite measured
LiveCodeBench (Artificial Analysis run)Not measured85.3%Only Kimi K2 Thinking measured
SciCode41.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.1%Only Kimi K2 Thinking measured
Terminal-BenchNot measured35.7%Only Kimi K2 Thinking measured
WeirdML39.0%42.8%Kimi K2 Thinking
ALE-Bench765.3597.5Gemini 3.5 Flash Lite
LMArena Text: coding1453Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: software and IT1451Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena WebDev: React1408Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena WebDev: from an image1448Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode6.2%Not measuredOnly 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 index11
Intelligence benchmarks for Gemini 3.5 Flash Lite and Kimi K2 Thinking
BenchmarkGemini 3.5 Flash LiteKimi K2 ThinkingLeader
AA Intelligence Index22.222.0Gemini 3.5 Flash Lite
Epoch Capabilities Index144.9145.8Kimi K2 Thinking
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for Gemini 3.5 Flash Lite and Kimi K2 Thinking
BenchmarkGemini 3.5 Flash LiteKimi K2 ThinkingLeader
AA Agentic Index14.3Not measuredOnly Gemini 3.5 Flash Lite measured
Finance Agent (Vals AI)47.4%Not measuredOnly Gemini 3.5 Flash Lite measured
Tax Agent Bench (Vals AI)7.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Legal Research Bench (Vals AI)13.9%Not measuredOnly Gemini 3.5 Flash Lite measured
Excel Modeling Benchmark (Vals AI)43.2%Not measuredOnly Gemini 3.5 Flash Lite measured
τ²-Bench TelecomNot measured93.0%Only Kimi K2 Thinking measured
APEX-Agents29.3%Not measuredOnly Gemini 3.5 Flash Lite measured
METR time horizonsNot measured59.2%Only Kimi K2 Thinking measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
Reasoning benchmarks for Gemini 3.5 Flash Lite and Kimi K2 Thinking
BenchmarkGemini 3.5 Flash LiteKimi K2 ThinkingLeader
GPQA Diamond83.8%78.5%Gemini 3.5 Flash Lite
MMMU Pro (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)83.8%83.8%Tie
Humanity's Last Exam (Artificial Analysis run)18.8%23.8%Kimi K2 Thinking
GPQA Diamond (Epoch AI run)83.3%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI-210.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Chess puzzles21.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Mystery game puzzles19.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts1441Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: expert1434Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts in English1440Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: diagrams1284Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: homework1291Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 8 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Math benchmarks for Gemini 3.5 Flash Lite and Kimi K2 Thinking
BenchmarkGemini 3.5 Flash LiteKimi 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
OTIS Mock AIME71.1%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tiers 1 to 326.0%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ProofBench13.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: math1434Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: mathematical work1433Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemini 3.5 Flash Lite and Kimi K2 Thinking
BenchmarkGemini 3.5 Flash LiteKimi K2 ThinkingLeader
MMLU Pro85.8%81.1%Gemini 3.5 Flash Lite
LegalBench (Vals AI)84.1%80.2%Gemini 3.5 Flash Lite
CaseLaw (Vals AI)Not measured65.7%Only Kimi K2 Thinking measured
CorpFin (Vals AI)60.7%60.6%Gemini 3.5 Flash Lite
TaxEval (Vals AI)72.6%71.7%Gemini 3.5 Flash Lite
MortgageTax (Vals AI)68.7%Not measuredOnly Gemini 3.5 Flash Lite measured
MedQA (Vals AI)Not measured92.6%Only Kimi K2 Thinking measured
MedCode (Vals AI)43.5%Not measuredOnly Gemini 3.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)Not measured84.8%Only Kimi K2 Thinking measured
LMArena Text: science1451Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: medicine and healthcare1438Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: legal and government1431Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: business and finance1423Not measuredOnly Gemini 3.5 Flash Lite measured
FACTS Benchmark Suite53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Gemini 3.5 Flash Lite and Kimi K2 Thinking
BenchmarkGemini 3.5 Flash LiteKimi K2 ThinkingLeader
Design Arena: websitesNot measured1113Only Kimi K2 Thinking measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Gemini 3.5 Flash Lite and Kimi K2 Thinking
BenchmarkGemini 3.5 Flash LiteKimi K2 ThinkingLeader
Public Benefits Bench (Vals AI)51.8%Not measuredOnly Gemini 3.5 Flash Lite measured
SAGE (Vals AI)47.3%Not measuredOnly Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)70.9%Not measuredOnly Gemini 3.5 Flash Lite measured
IFBenchNot measured68.1%Only Kimi K2 Thinking measured
Long context reasoning (AA-LCR)76.0%72.0%Gemini 3.5 Flash Lite
DTBench83.5%Not measuredOnly Gemini 3.5 Flash Lite measured
LMCA37.6%Not measuredOnly Gemini 3.5 Flash Lite measured
CL-benchNot measured17.6%Only Kimi K2 Thinking measured
LMArena Text1435Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: instruction following1419Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: creative writing1421Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: English1438Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: non-English1427Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Chinese1468Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: German1454Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Japanese1426Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Korean1407Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: French1451Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Spanish1441Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Russian1443Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Polish1437Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: multi-turn1445Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: longer queries1435Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: writing and language1428Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: entertainment and media1414Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: English1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: Chinese1311Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: reading text1280Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: humor1287Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: creative writing1260Not measuredOnly 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 Thinking
BenchmarkGemini 3.5 Flash LiteKimi 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 3.5 Flash Lite$0.0015Fits in one request
Kimi K2 Thinking$0.0019Fits 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 Thinking$0.037Fits 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 Thinking$0.145Fits 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 Thinking
SpecificationGoogle Gemini 3.5 Flash LiteMoonshotAI Kimi K2 Thinking
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026November 6, 2025
Context window1.05M262K
Input $/Mtok$0.30$0.60
Output $/Mtok$2.50$2.50
Coding index49.0Not benchmarked
Independent measurements behind it31
Cost per solved task$0.41$0.61
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than Kimi K2 Thinking for coding?

Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding. Pick Kimi K2 Thinking for work measured by WeirdML or Epoch Capabilities Index, where it leads.

Which is cheaper, Gemini 3.5 Flash Lite or Kimi K2 Thinking?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Kimi K2 Thinking costs $0.60 and $2.50. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and Kimi K2 Thinking $0.61.

Which has the bigger context window, Gemini 3.5 Flash Lite or Kimi K2 Thinking?

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

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

14 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 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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