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MiniMax M2.5 vs Gemini 3.1 Pro

Comprehensive comparison between MiniMax's MiniMax M2.5 and Google's Gemini 3.1 Pro. Compare pricing, performance, features, and user reviews.

minimax vs geminiminimax m2.5 vs geminibudget ai alternative

Specs Comparison

SpecificationMiniMax M2.5Gemini 3.1 Pro
Context Window197K1000K
Max Output32K66K
Input (per 1M tokens)$0.30$2.00
Output (per 1M tokens)$2.40$12.00
Reasoning
Open Source

Scenario Score Comparison

Coding
vs
85
Writing
vs
86

MiniMax M2.5

Pros

  • + Extremely cheap ($0.20/1M input)
  • + Strong tool calling & function calling
  • + 197K context window
  • + Excellent agentic performance
  • + Supports Shell, Browser, Python, MCP

Cons

  • Less known in Western markets
  • Documentation mainly in Chinese
  • Smaller ecosystem than Claude/GPT
  • Rate limits on free tier

Gemini 3.1 Pro

Pros

  • + Cheapest frontier model ($2/$12)
  • + Highest ARC-AGI-2 score (77.1%)
  • + Native multimodal (text/image/audio/video)
  • + 1M context window
  • + Free tier via AI Studio
  • + Best for frontend/web design

Cons

  • Weaker at agentic tasks
  • Context window issues reported
  • Sometimes skips lines in code edits
  • CLI/agent harness quality inconsistent

Recommendation

Choose MiniMax M2.5 if you:

  • Need extremely cheap ($0.20/1m input)
  • Need strong tool calling & function calling
  • Need 197k context window

Choose Gemini 3.1 Pro if you:

  • Need cheapest frontier model ($2/$12)
  • Need highest arc-agi-2 score (77.1%)
  • Need native multimodal (text/image/audio/video)

Based on scores across 2 scenarios, Gemini 3.1 Pro performs better overall.

Get Started with MiniMax M2.5

1Visit the provider's website
2Create an account
3Start using the model

Get Started with Gemini 3.1 Pro

2Sign in with Google account
3Upgrade to Advanced ($20/mo) for Pro

💡 Gemini Advanced is included in Google One AI Premium.

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