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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-6.1 SolOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Gemini 3.5 FlashGoogleRemove
  4. Transcribe 1 ProFish AudioRemove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs perceptron-mk1.5 vs gemini-3.5-flash vs transcribe-1-pro
AttributeGPT-6.1 Solgpt-6.1-solPerceptron Mk1.5perceptron-mk1.5Gemini 3.5 Flashgemini-3.5-flashTranscribe 1 Protranscribe-1-pro
Pricing
Input$2.00 / 1M$0.15 / 1M$1.50 / 1M$0 / 1M
Output$10.00 / 1M$1.50 / 1M$9.00 / 1M$0 / 1M
Cache Write (5m)$2.00 / 1M$0.15 / 1M$1.50 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.15 / 1M$1.50 / 1MNot applicable
Cache Read$2.00 / 1M$0.15 / 1M$1.50 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesNo
JSON ModeYesNoYesNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIPerceptronGoogleFish Audio
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-09-24
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Gemini 3.5 Flash is Google's high-efficiency multimodal model, delivering near-Pro level performance in coding and reasoning at Flash-tier speed and cost. It supports text, image, video, audio, and PDF inputs, making it well suited for diverse multimodal workflows. Optimized for coding proficiency and parallel agentic execution, the model defaults to medium thinking effort for faster, cost-efficient responses while supporting configurable thinking levels (minimal, low, medium, high) for fine-grained cost–performance control.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.