What is the difference between Gemini Pro 1.0 and MiniMax M3?

Gemini Pro 1.0 is developed by Google AI while MiniMax M3 is developed by MiniMax. Gemini Pro 1.0 has a 33K token context window vs MiniMax M3's 1.0M. You can compare their actual outputs across 26 challenges on Rival to see how they differ in practice.

Which is better, Gemini Pro 1.0 or MiniMax M3?

It depends on your use case. Gemini Pro 1.0 and MiniMax M3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 26 challenges so you can judge which fits your needs best.

How much does Gemini Pro 1.0 cost compared to MiniMax M3?

Gemini Pro 1.0 costs $0.5/M input tokens and MiniMax M3 costs $0.3/M input tokens. MiniMax M3 is $0.20/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare Gemini Pro 1.0 and MiniMax M3 on Rival?

This page shows a side-by-side comparison of Gemini Pro 1.0 and MiniMax M3 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

Updated Jun 2026

Gemini Pro 1.0vsMiniMax M3

MiniMax M3 is cheaper than Gemini Pro 1.0 at $0.3/M vs $0.5/M input tokens.

Gemini Pro 1.0 and MiniMax M3 compared across 26 shared prompts
Spec	Gemini Pro 1.0	MiniMax M3
Input price	$0.5/M tokens	$0.3/M tokens
Output price	$1.5/M tokens	$1.2/M tokens
Context window	33K tokens	1.0M tokens
Weights	—	Open
Free API (OpenRouter)	No	No
Released	Dec 2023	Jun 2026