Price Per TokenPrice Per Token
Minimax
Minimax
vs
Sao10k

MiniMax M2.7 vs Llama 3.1 70B Hanami x1

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

MiniMax M2.7 wins:

  • Cheaper input tokens
  • Cheaper output tokens
  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding

Llama 3.1 70B Hanami x1 wins:

  • Has reasoning mode
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

FeatureMiniMax M2.7Llama 3.1 70B Hanami x1
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyMiniMax M2.7Llama 3.1 70B Hanami x1
LicenseProprietaryOpen Source
AuthorMinimaxSao10k
ReleasedMar 2026Jan 2025

MiniMax M2.7 Modalities

Input
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Output
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Llama 3.1 70B Hanami x1 Modalities

Input
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Output
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Related Comparisons

Compare MiniMax M2.7 with:

Compare Llama 3.1 70B Hanami x1 with:

Frequently Asked Questions

MiniMax M2.7 has cheaper input pricing at $0.30/M tokens. MiniMax M2.7 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 Llama 3.1 70B Hanami x1's score of N/A.
MiniMax M2.7 has a 204,800 token context window, while Llama 3.1 70B Hanami x1 has a 16,000 token context window.
MiniMax M2.7 does not support vision. Llama 3.1 70B Hanami x1 does not support vision.