Model comparison

Gemini 2.5 Flash-Lite vs Kimi K2.7 Code

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 9.8× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

Gemini 2.5 Flash-Lite Google

36.4

Rank #208 Confirmed

Kimi K2.7 Code Moonshot AI

43.0

Rank #90 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 1 category and Kimi K2.7 Code in 4 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Kimi K2.7 Code leads 53.6 to 32.1.
  • The biggest single-benchmark swing is WeirdML: 35.2% for Gemini 2.5 Flash-Lite and 54.1% for Kimi K2.7 Code.
  • Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 262K.
  • Kimi K2.7 Code has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-Lite and Kimi K2.7 Code specifications
Gemini 2.5 Flash-LiteKimi K2.7 Code
ProviderGoogleMoonshot AI
Noometry Index36.443.0
Released2025-06-172026-06-12
WeightsProprietaryOpen
Context window1.05M262K
Max output66K262K
Input $ / M tokens$0.10$0.95
Output $ / M tokens$0.40$4
Results tracked3319

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Category by category

Coding Kimi K2.7 Code leads

Gemini 2.5 Flash-Lite: 38.0 (#167), Kimi K2.7 Code: 42.4 (#92)

Coding benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
WeirdML35.2%54.1%
ALE-Bench325.9886.23
DeepSWE—30.5%
FrontierCode—30.1%
LMArena WebDev—1473
SciCode—47.5%
LMArena Coding1373—

Agentic & Tool Use Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 27.8 (#89), Kimi K2.7 Code: 23.9 (#115)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
APEX-Agents—37.6%
Berkeley Function Calling Leaderboard36.9%—
GBAEval—0.9%
Vending-Bench 2—5,083

Reasoning Kimi K2.7 Code leads

Gemini 2.5 Flash-Lite: 21.5 (#196), Kimi K2.7 Code: 38.2 (#56)

Reasoning benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
Epoch Capabilities Index133.93150.01
SimpleBench—57.9%
Kagi LLM Benchmark40.5%—
CritPt—10%
Chess Puzzles—21%
LMArena Hard Prompts1377—
DTBench62.8%—
LMCA18.1%—
Surface Evolver Bench—48.8%

Math Kimi K2.7 Code leads

Gemini 2.5 Flash-Lite: 35.5 (#144), Kimi K2.7 Code: 52.6 (#39)

Math benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
FrontierMath (Tiers 1-3)—54%
FrontierMath Tier 4—12.2%
OTIS Mock AIME 2024-2025—95.6%
Omni-MATH48%—
LMArena Math1373—

Knowledge Kimi K2.7 Code leads

Gemini 2.5 Flash-Lite: 32.1 (#206), Kimi K2.7 Code: 53.6 (#51)

Knowledge benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
GPQA Diamond—87.9%
SimpleQA Verified—36.5%
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
LMArena Expert1373—

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 28.6 (#109), Kimi K2.7 Code: —

Multimodal benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
LMArena Vision1198—
VPCT30%—

Multilingual Not comparable

Gemini 2.5 Flash-Lite: 49.5 (#129), Kimi K2.7 Code: —

Multilingual benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
LMArena Non-English1369—
LMArena Chinese1404—
LMArena French1388—
LMArena German1390—
LMArena Japanese1359—
LMArena Korean1358—
LMArena Russian1373—
LMArena Spanish1396—

Instruction Following Not comparable

Gemini 2.5 Flash-Lite: 70.2 (#163), Kimi K2.7 Code: —

Instruction Following benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
IFEval81%—
LMArena Instruction Following1366—

Long Context Not comparable

Gemini 2.5 Flash-Lite: 33.3 (#257), Kimi K2.7 Code: —

Long Context benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
Fiction.LiveBench47.2%—
LMArena Longer Query1373—

Writing & Preference Not comparable

Gemini 2.5 Flash-Lite: 57.0 (#130), Kimi K2.7 Code: —

Writing & Preference benchmarks
BenchmarkGemini 2.5 Flash-LiteKimi K2.7 Code
LMArena Text1379—
LMArena Creative Writing1366—
WildBench81.8%—
LMArena Multi-Turn1367—

Frequently asked questions

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

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 9.8× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

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

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

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

Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 38.0 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Gemini 2.5 Flash-Lite and Kimi K2.7 Code share?

3 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Kimi K2.7 Code has 19.

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