Price Per TokenPrice Per Token
Minimax
Minimax
vs
Nvidia
Nvidia

MiniMax M2.7 vs Llama 3.3 Nemotron Super 49B V1.5

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

MiniMax M2.7 wins:

  • Larger context window
  • Higher intelligence benchmark
  • Better at coding

Llama 3.3 Nemotron Super 49B V1.5 wins:

  • Cheaper input tokens
  • Cheaper output tokens
  • Faster response time
  • Better at math
  • Has reasoning mode
Price Advantage
Llama 3.3 Nemotron Super 49B V1.5
Benchmark Advantage
MiniMax M2.7
Context Window
MiniMax M2.7
Speed
Llama 3.3 Nemotron Super 49B V1.5

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureMiniMax M2.7Llama 3.3 Nemotron Super 49B V1.5
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyMiniMax M2.7Llama 3.3 Nemotron Super 49B V1.5
LicenseProprietaryProprietary
AuthorMinimaxNvidia
ReleasedMar 2026Oct 2025

MiniMax M2.7 Modalities

Input
text
Output
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Llama 3.3 Nemotron Super 49B V1.5 Modalities

Input
text
Output
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Frequently Asked Questions

Llama 3.3 Nemotron Super 49B V1.5 has cheaper input pricing at $0.10/M tokens. Llama 3.3 Nemotron Super 49B V1.5 has cheaper output pricing at $0.40/M tokens.
MiniMax M2.7 scores higher on coding benchmarks with a score of 41.9, compared to Llama 3.3 Nemotron Super 49B V1.5's score of 10.5.
MiniMax M2.7 has a 204,800 token context window, while Llama 3.3 Nemotron Super 49B V1.5 has a 131,072 token context window.