Price Per TokenPrice Per Token
Minimax
Minimax
vs
OpenAI
OpenAI

MiniMax M2.7 vs GPT-3.5 Turbo

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

MiniMax M2.7 wins:

  • Cheaper input tokens
  • Larger context window
  • Higher intelligence benchmark
  • Better at coding

GPT-3.5 Turbo wins:

  • Cheaper output tokens
  • Faster response time
Price Advantage
MiniMax M2.7
Benchmark Advantage
MiniMax M2.7
Context Window
MiniMax M2.7
Speed
GPT-3.5 Turbo

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureMiniMax M2.7GPT-3.5 Turbo
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyMiniMax M2.7GPT-3.5 Turbo
LicenseProprietaryProprietary
AuthorMinimaxOpenAI
ReleasedMar 2026May 2023

MiniMax M2.7 Modalities

Input
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Output
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GPT-3.5 Turbo Modalities

Input
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Output
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Related Comparisons

Compare MiniMax M2.7 with:

Compare GPT-3.5 Turbo with:

Frequently Asked Questions

MiniMax M2.7 has cheaper input pricing at $0.30/M tokens. GPT-3.5 Turbo has cheaper output pricing at $1.00/M tokens.
MiniMax M2.7 scores higher on coding benchmarks with a score of 41.9, compared to GPT-3.5 Turbo's score of 10.7.
MiniMax M2.7 has a 204,800 token context window, while GPT-3.5 Turbo has a 16,385 token context window.
MiniMax M2.7 does not support vision. GPT-3.5 Turbo does not support vision.