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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 AstraOpenAIRemove
  2. S1Fish AudioRemove
  3. GPT-6 SolOpenAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs s1 vs gpt-6-sol vs perceptron-mk1.5
AttributeGPT-6 Astragpt-6-astraS1s1GPT-6 Solgpt-6-solPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$10.00 / 1M$0 / 1M$2.00 / 1M$0.15 / 1M
Output$50.00 / 1M$0 / 1M$10.00 / 1M$1.50 / 1M
Cache Write (5m)$10.00 / 1MNot applicable$2.00 / 1M$0.15 / 1M
Cache Write (1h)$10.00 / 1MNot applicable$2.00 / 1M$0.15 / 1M
Cache Read$10.00 / 1MNot applicable$2.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1.1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesNo
JSON ModeYesNoYesNo
StreamingYesNoYesYes
Catalogue
ProviderOpenAIFish AudioOpenAIPerceptron
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-29—2026-09-25
Description
SummaryGPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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 applicationsPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.