LLM Comparison

Gemini 3.6 Flash vs Gemini 3.5 Flash-Lite: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.6 Flash 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 #17 vs #61AskClash overall scores 62.9 vs 14.2.
Pricing $1.50/$7.50 vs $0.30/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs Google.

Gemini 3.6 Flash 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.

MetricGemini 3.6 FlashGemini 3.5 Flash-Lite
Overall Score62.914.2
Leaderboard Rank#17#61
RWT7.0
HLE38.0
GPQA92.8
SWE-Pro58.754.2
Terminal-Bench78.054.0
DeepSWE49.0
OSWorld83.074.0
CharXiv85.2
MMMU-Pro83.2
MRCR91.872.2
Input Price (per 1M tokens)$1.50$0.30
Output Price (per 1M tokens)$7.50$2.50
Context Window1M1M
Benchmarks Published116

Gemini 3.6 Flash vs Gemini 3.5 Flash-Lite head-to-head charts

Gemini 3.6 Flash leads 5 and Gemini 3.5 Flash-Lite leads 0 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.

Gemini 3.6 FlashGemini 3.5 Flash-Lite
Overall
62.9Gemini 3.6 Flash
14.2Gemini 3.5 Flash-Lite
SWE-Pro
58.7Gemini 3.6 Flash
54.2Gemini 3.5 Flash-Lite
Terminal-Bench
78.0Gemini 3.6 Flash
54.0Gemini 3.5 Flash-Lite
OSWorld
83.0Gemini 3.6 Flash
74.0Gemini 3.5 Flash-Lite
MRCR
91.8Gemini 3.6 Flash
72.2Gemini 3.5 Flash-Lite
Gemini 3.6 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M
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 Gemini 3.6 Flash and Gemini 3.5 Flash-Lite comparisons

Explore how Gemini 3.6 Flash 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.