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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. GPT-6 Sol ProOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. MiniMax M2MiniMaxRemove
  4. GPT-6.1 SolOpenAIRemove

4 is the maximum. Remove one to add another.

gpt-6-sol-pro vs perceptron-mk1.5 vs minimax-m2 vs gpt-6.1-sol
AttributeGPT-6 Sol Progpt-6-sol-proPerceptron Mk1.5perceptron-mk1.5MiniMax M2minimax-m2GPT-6.1 Solgpt-6.1-sol
Pricing
Input$2.00 / 1M$0.15 / 1M$0.15 / 1M$2.00 / 1M
Output$10.00 / 1M$1.50 / 1M$0.45 / 1M$10.00 / 1M
Cache Write (5m)$2.00 / 1M$0.15 / 1M$0.15 / 1M$2.00 / 1M
Cache Write (1h)$2.00 / 1M$0.15 / 1M$0.15 / 1M$2.00 / 1M
Cache Read$2.00 / 1M$0.15 / 1M$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M36.9K196.6K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAIPerceptronMiniMaxOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25——
Description
SummaryGPT-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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.MiniMax-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.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.