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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. Universal-3.5 ProAssemblyAIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6 SolOpenAIRemove

4 is the maximum. Remove one to add another.

minimax-m2 vs universal-3-5-pro vs perceptron-mk1.5 vs gpt-6-sol
AttributeMiniMax M2minimax-m2Universal-3.5 Prouniversal-3-5-proPerceptron Mk1.5perceptron-mk1.5GPT-6 Solgpt-6-sol
Pricing
Input$0.15 / 1M— Not priced per input token$0.15 / 1M$2.00 / 1M
Output$0.45 / 1M— Not priced per output token$1.50 / 1M$10.00 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$0.15 / 1M$2.00 / 1M
Cache Write (1h)$0.15 / 1MNot applicable$0.15 / 1M$2.00 / 1M
Cache Read$0.15 / 1MNot applicable$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context196.6KN/A36.9K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesNoYesYes
Catalogue
ProviderMiniMaxAssemblyAIPerceptronOpenAI
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-222026-09-25—
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.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications