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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-6.1 SolOpenAIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. GPT-6 SolOpenAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs gemini-3.5-transcribe vs gpt-6-sol vs perceptron-mk1.5
AttributeGPT-6.1 Solgpt-6.1-solGemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Solgpt-6-solPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$2.00 / 1M$0 / 1M$2.00 / 1M$0.15 / 1M
Output$10.00 / 1M$0 / 1M$10.00 / 1M$1.50 / 1M
Cache Write (5m)$2.00 / 1MNot applicable$2.00 / 1M$0.15 / 1M
Cache Write (1h)$2.00 / 1MNot applicable$2.00 / 1M$0.15 / 1M
Cache Read$2.00 / 1MNot applicable$2.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M98.3K1.1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesNoYesNo
StreamingYesNoYesYes
Catalogue
ProviderOpenAIGoogleOpenAIPerceptron
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-09-25
Description
SummaryGPT-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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.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.