Price Per TokenPrice Per Token
Arcee AI
vs
Minimax
Minimax

Trinity Large Thinking vs MiniMax M2.5

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Trinity Large Thinking wins:

  • Cheaper output tokens

MiniMax M2.5 wins:

  • Cheaper input tokens
  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
  • Has reasoning mode
  • Supports tool calls
Price Advantage
Trinity Large Thinking
Benchmark Advantage
MiniMax M2.5
Context Window
MiniMax M2.5
Speed
MiniMax M2.5

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureTrinity Large ThinkingMiniMax M2.5
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyTrinity Large ThinkingMiniMax M2.5
LicenseProprietaryOpen Source
AuthorArcee AIMinimax
ReleasedUnknownFeb 2026

Trinity Large Thinking Modalities

Input
Output

MiniMax M2.5 Modalities

Input
text
Output
text

Related Comparisons

Compare Trinity Large Thinking with:

Compare MiniMax M2.5 with:

Frequently Asked Questions

MiniMax M2.5 has cheaper input pricing at $0.12/M tokens. Trinity Large Thinking has cheaper output pricing at $0.85/M tokens.
MiniMax M2.5 scores higher on coding benchmarks with a score of 37.4, compared to Trinity Large Thinking's score of N/A.
Trinity Large Thinking has a unknown token context window, while MiniMax M2.5 has a 196,608 token context window.
Trinity Large Thinking does not support vision. MiniMax M2.5 does not support vision.