LLM Comparison

Gemini 3.6 Flash vs MiniMax-M3: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.6 Flash vs MiniMax-M3 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 #18AskClash overall scores 62.9 vs 59.7.
Pricing $1.50/$7.50 vs $0.30/$1.20Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs MiniMax.

Gemini 3.6 Flash vs MiniMax-M3 benchmark comparison

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

MetricGemini 3.6 FlashMiniMax-M3
Overall Score62.959.7
Leaderboard Rank#17#18
RWT8.5
HLE38.037.1
GPQA92.892.9
IFEval82.9
SWE-bench80.5
SWE-Pro58.759.0
Terminal-Bench78.066.0
DeepSWE49.0
OSWorld83.070.1
MCP Atlas74.2
Finance Agent48.3
CharXiv85.2
MMMU-Pro83.278.1
Tau288.9
MRCR91.8
Input Price (per 1M tokens)$1.50$0.30
Output Price (per 1M tokens)$7.50$1.20
Context Window1M1M
Benchmarks Published1113

Gemini 3.6 Flash vs MiniMax-M3 head-to-head charts

Gemini 3.6 Flash leads 5 and MiniMax-M3 leads 2 of 7 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.6 FlashMiniMax-M3
Overall
62.9Gemini 3.6 Flash
59.7MiniMax-M3
HLE
38.0Gemini 3.6 Flash
37.1MiniMax-M3
GPQA
92.8Gemini 3.6 Flash
92.9MiniMax-M3
SWE-Pro
58.7Gemini 3.6 Flash
59.0MiniMax-M3
Terminal-Bench
78.0Gemini 3.6 Flash
66.0MiniMax-M3
OSWorld
83.0Gemini 3.6 Flash
70.1MiniMax-M3
MMMU-Pro
83.2Gemini 3.6 Flash
78.1MiniMax-M3
Gemini 3.6 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M
MiniMax-M3
Input$0.30
Output$1.20
Workload$0.54
Context1M

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

More Gemini 3.6 Flash and MiniMax-M3 comparisons

Explore how Gemini 3.6 Flash and MiniMax-M3 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.