LLM Comparison

Kimi K3 vs Gemini 3.6 Flash: benchmark scores, pricing & comparison.

Side-by-side Kimi K3 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.

Rank #3 vs #17AskClash overall scores 82.1 vs 62.9.
Pricing $3.00/$15.0 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Google.

Kimi K3 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 K3Gemini 3.6 Flash
Overall Score82.162.9
Leaderboard Rank#3#17
RWT8.0
HLE43.538.0
GPQA93.592.8
SWE-Pro58.7
Terminal-Bench88.378.0
DeepSWE68.549.0
OSWorld83.0
MCP Atlas84.2
Finance Agent54.4
CharXiv84.885.2
MMMU-Pro81.683.2
MRCR91.8
Input Price (per 1M tokens)$3.00$1.50
Output Price (per 1M tokens)$15.0$7.50
Context Window1M1M
Benchmarks Published1011

Kimi K3 vs Gemini 3.6 Flash head-to-head charts

Kimi K3 leads 5 and Gemini 3.6 Flash leads 2 of 7 shared benchmarks. Gemini 3.6 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3Gemini 3.6 Flash
Overall
82.1Kimi K3
62.9Gemini 3.6 Flash
HLE
43.5Kimi K3
38.0Gemini 3.6 Flash
GPQA
93.5Kimi K3
92.8Gemini 3.6 Flash
Terminal-Bench
88.3Kimi K3
78.0Gemini 3.6 Flash
DeepSWE
68.5Kimi K3
49.0Gemini 3.6 Flash
CharXiv
84.8Kimi K3
85.2Gemini 3.6 Flash
MMMU-Pro
81.6Kimi K3
83.2Gemini 3.6 Flash
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
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 K3 and Gemini 3.6 Flash comparisons

Explore how Kimi K3 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.