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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 SolOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. GPT-6 AstraOpenAIRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

gpt-6-sol vs perceptron-mk1.5 vs gpt-6-astra vs gemini-3.5-transcribe
AttributeGPT-6 Solgpt-6-solPerceptron Mk1.5perceptron-mk1.5GPT-6 Astragpt-6-astraGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$2.00 / 1M$0.15 / 1M$10.00 / 1M$0 / 1M
Output$10.00 / 1M$1.50 / 1M$50.00 / 1M$0 / 1M
Cache Write (5m)$2.00 / 1M$0.15 / 1M$10.00 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.15 / 1M$10.00 / 1MNot applicable
Cache Read$2.00 / 1M$0.15 / 1M$10.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M36.9K1M98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIPerceptronOpenAIGoogle
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-09-25
Description
SummaryGPT-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.GPT-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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.