LLM Comparison

Kimi K2.7 vs Gemini 3.6 Flash: benchmark scores, pricing & comparison.

Side-by-side Kimi K2.7 vs Gemini 3.6 Flash 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.

Verdict: Kimi K2.7 ranks higher (#40 vs #45); Gemini 3.6 Flash wins 4 of 5 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $1.50/$7.50 per 1M tokens).

Rank #40 vs #45AskClash overall scores 42.0 vs 47.0.
Pricing $0.95/$4.00 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Google.

Kimi K2.7 vs Gemini 3.6 Flash benchmark comparison

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

MetricKimi K2.7Gemini 3.6 Flash
Overall Score42.047.0
Leaderboard Rank#40#45
ACB43.033.8
RWT7.5—
HLE35.038.0
GPQA89.692.8
IFEval63.1—
SWE-Pro—58.7
DeepSWE30.546.7
GDPval-AA1040.51421.0
OSWorld—83.0
MCP Atlas76.0—
CharXiv—85.2
MMMU-Pro—83.2
Tau290.1—
MRCR—91.8
Input Price (per 1M tokens)$0.95$1.50
Output Price (per 1M tokens)$4.00$7.50
Context Window256K1M
Benchmarks Published99

Kimi K2.7 vs Gemini 3.6 Flash head-to-head charts

Kimi K2.7 leads 1 and Gemini 3.6 Flash leads 5 of 6 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K2.7Gemini 3.6 Flash
Overall
42.0Kimi K2.7
47.0Gemini 3.6 Flash
ACB
43.0Kimi K2.7
33.8Gemini 3.6 Flash
HLE
35.0Kimi K2.7
38.0Gemini 3.6 Flash
GPQA
89.6Kimi K2.7
92.8Gemini 3.6 Flash
DeepSWE
30.5Kimi K2.7
46.7Gemini 3.6 Flash
GDPval-AA
1040.5Kimi K2.7
1421.0Gemini 3.6 Flash
Kimi K2.7
Input$0.95
Output$4.00
Workload$1.75
Context256K
Gemini 3.6 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M

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

More Kimi K2.7 and Gemini 3.6 Flash comparisons

Explore how Kimi K2.7 and Gemini 3.6 Flash 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.