Price Per TokenPrice Per Token
Arcee AI
vs
Minimax
Minimax

Virtuoso Large vs MiniMax M2.7

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Virtuoso Large wins:

  • No clear advantages in compared metrics

MiniMax M2.7 wins:

  • Cheaper input tokens
  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
Price Advantage
MiniMax M2.7
Benchmark Advantage
MiniMax M2.7
Context Window
MiniMax M2.7
Speed
MiniMax M2.7

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureVirtuoso LargeMiniMax M2.7
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyVirtuoso LargeMiniMax M2.7
LicenseOpen SourceProprietary
AuthorArcee AIMinimax
ReleasedMay 2025Mar 2026

Virtuoso Large Modalities

Input
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Output
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MiniMax M2.7 Modalities

Input
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Output
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Related Comparisons

Compare Virtuoso Large with:

Compare MiniMax M2.7 with:

Frequently Asked Questions

MiniMax M2.7 has cheaper input pricing at $0.30/M tokens. Virtuoso Large has cheaper output pricing at $1.20/M tokens.
MiniMax M2.7 scores higher on coding benchmarks with a score of 41.9, compared to Virtuoso Large's score of N/A.
Virtuoso Large has a 131,072 token context window, while MiniMax M2.7 has a 204,800 token context window.
Virtuoso Large does not support vision. MiniMax M2.7 does not support vision.