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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. MiniMax M2MiniMaxRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6 Luna ProOpenAIRemove

4 is the maximum. Remove one to add another.

minimax-m2 vs claude-sonnet-5.5 vs perceptron-mk1.5 vs gpt-6-luna-pro
AttributeMiniMax M2minimax-m2Claude Sonnet 5.5claude-sonnet-5.5Perceptron Mk1.5perceptron-mk1.5GPT-6 Luna Progpt-6-luna-pro
Pricing
Input$0.15 / 1M$2.00 / 1M$0.15 / 1M$0.10 / 1M
Output$0.45 / 1M$10.00 / 1M$1.50 / 1M$0.50 / 1M
Cache Write (5m)$0.15 / 1M$2.50 / 1M$0.15 / 1M$0.10 / 1M
Cache Write (1h)$0.15 / 1M$4.00 / 1M$0.15 / 1M$0.10 / 1M
Cache Read$0.15 / 1M$0.20 / 1M$0.15 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context196.6K1M36.9K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesYesYes
Catalogue
ProviderMiniMaxAnthropicPerceptronOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-25—
Description
SummaryMiniMax-M2 is a compact, high-efficiency model with 10B active (230B total) parameters, optimized for coding and agentic workflows. It delivers near-frontier reasoning and tool use, excels at multi-file coding tasks and compile-run-fix loops, and performs strongly on benchmarks like SWE-Bench and Terminal-Bench. It also handles long-horizon planning and recovery in agent evaluations, ranking among the top open models across reasoning domains. With fast inference and low cost, it’s ideal for large-scale agents and developer assistants — and works best when reasoning is preserved across turns.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.