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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. Perceptron Mk1.5PerceptronRemove
  3. GPT-6 Sol ProOpenAIRemove
  4. GPT-6.1 SolOpenAIRemove

4 is the maximum. Remove one to add another.

minimax-m2 vs perceptron-mk1.5 vs gpt-6-sol-pro vs gpt-6.1-sol
AttributeMiniMax M2minimax-m2Perceptron Mk1.5perceptron-mk1.5GPT-6 Sol Progpt-6-sol-proGPT-6.1 Solgpt-6.1-sol
Pricing
Input$0.15 / 1M$0.15 / 1M$2.00 / 1M$2.00 / 1M
Output$0.45 / 1M$1.50 / 1M$10.00 / 1M$10.00 / 1M
Cache Write (5m)$0.15 / 1M$0.15 / 1M$2.00 / 1M$2.00 / 1M
Cache Write (1h)$0.15 / 1M$0.15 / 1M$2.00 / 1M$2.00 / 1M
Cache Read$0.15 / 1M$0.15 / 1M$2.00 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context196.6K36.9K1.1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesYesYesYes
Catalogue
ProviderMiniMaxPerceptronOpenAIOpenAI
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.