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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. Grok 4.20 Multi-Agent BetaxAIRemove
gpt-6-sol-pro vs perceptron-mk1.5 vs grok-4.20-multi-agent-beta
AttributeGPT-6 Sol Progpt-6-sol-proPerceptron Mk1.5perceptron-mk1.5Grok 4.20 Multi-Agent Betagrok-4.20-multi-agent-beta
Pricing
Input$2.00 / 1M$0.15 / 1M$2.00 / 1M
Output$10.00 / 1M$1.50 / 1M$6.00 / 1M
Cache Write (5m)$2.00 / 1M$0.15 / 1M$2.00 / 1M
Cache Write (1h)$2.00 / 1M$0.15 / 1M$2.00 / 1M
Cache Read$2.00 / 1M$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M36.9K2M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderOpenAIPerceptronxAI
Categorychatchatchat
Charge typePay 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.Grok 4.20 Multi-Agent Beta is a specialized variant of xAI's Grok 4.20 designed for collaborative, agent-based workflows. It enables multiple agents to operate in parallel, coordinating tool use and information synthesis to handle complex tasks. Optimized for deep research and multi-step problem solving, the model supports parallel reasoning, coordinated execution, and structured knowledge synthesis across large and complex workflows.