LLM Comparison

Kimi K2.7 vs Gemini 3.5 Flash-Lite: benchmark scores, pricing & comparison.

Side-by-side Kimi K2.7 vs Gemini 3.5 Flash-Lite comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Rank #20 vs #61AskClash overall scores 56.4 vs 14.2.
Pricing $0.95/$4.00 vs $0.30/$2.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Google.

Kimi K2.7 vs Gemini 3.5 Flash-Lite benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricKimi K2.7Gemini 3.5 Flash-Lite
Overall Score56.414.2
Leaderboard Rank#20#61
RWT7.57.0
HLE54.0
GPQA90.5
SWE-bench80.2
SWE-Pro58.654.2
Terminal-Bench66.754.0
DeepSWE30.5
OSWorld73.174.0
MCP Atlas76.0
Finance Agent44.9
CharXiv80.4
MMMU-Pro79.4
Tau290.1
MRCR72.2
Input Price (per 1M tokens)$0.95$0.30
Output Price (per 1M tokens)$4.00$2.50
Context Window256K1M
Benchmarks Published136

Kimi K2.7 vs Gemini 3.5 Flash-Lite head-to-head charts

Kimi K2.7 leads 4 and Gemini 3.5 Flash-Lite leads 1 of 5 shared benchmarks. Gemini 3.5 Flash-Lite is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K2.7Gemini 3.5 Flash-Lite
Overall
56.4Kimi K2.7
14.2Gemini 3.5 Flash-Lite
RWT
7.5Kimi K2.7
7.0Gemini 3.5 Flash-Lite
SWE-Pro
58.6Kimi K2.7
54.2Gemini 3.5 Flash-Lite
Terminal-Bench
66.7Kimi K2.7
54.0Gemini 3.5 Flash-Lite
OSWorld
73.1Kimi K2.7
74.0Gemini 3.5 Flash-Lite
Kimi K2.7
Input$0.95
Output$4.00
Workload$1.75
Context256K
Gemini 3.5 Flash-Lite
Input$0.30
Output$2.50
Workload$0.80
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Kimi K2.7 and Gemini 3.5 Flash-Lite comparisons

Explore how Kimi K2.7 and Gemini 3.5 Flash-Lite stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.