LLM Comparison

Gemini 3.8 Flash vs MiniMax-M3: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.8 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 #8 vs #31AskClash overall scores 71.1 vs 42.9.
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 3.8 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 3.8 FlashMiniMax-M3
Overall Score71.142.9
Leaderboard Rank#8#31
ACB29.8
RWT8.5
HLE54.937.1
GPQA94.592.9
IFEval82.9
SWE-bench80.5
SWE-Pro59.0
Terminal-Bench89.466.0
DeepSWE71.0
GDPval-AA1545.058.4
OSWorld70.1
MCP Atlas74.2
Finance Agent61.448.3
CharXiv86.2
MMMU-Pro85.578.1
Tau288.9
MRCR97.0
Input Price (per 1M tokens)$1.50$0.30
Output Price (per 1M tokens)$7.50$1.20
Context Window1M1M
Benchmarks Published1014

Gemini 3.8 Flash vs MiniMax-M3 head-to-head charts

Gemini 3.8 Flash leads 7 and MiniMax-M3 leads 0 of 7 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.8 FlashMiniMax-M3
Overall
71.1Gemini 3.8 Flash
42.9MiniMax-M3
HLE
54.9Gemini 3.8 Flash
37.1MiniMax-M3
GPQA
94.5Gemini 3.8 Flash
92.9MiniMax-M3
Terminal-Bench
89.4Gemini 3.8 Flash
66.0MiniMax-M3
GDPval-AA
1545.0Gemini 3.8 Flash
58.4MiniMax-M3
Finance Agent
61.4Gemini 3.8 Flash
48.3MiniMax-M3
MMMU-Pro
85.5Gemini 3.8 Flash
78.1MiniMax-M3
Gemini 3.8 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 3.8 Flash and MiniMax-M3 comparisons

Explore how Gemini 3.8 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.