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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. Transcribe 1 ProFish AudioRemove
  2. GLM 5V TurboZ.AIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6 SolOpenAIRemove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs glm-5v-turbo vs perceptron-mk1.5 vs gpt-6-sol
AttributeTranscribe 1 Protranscribe-1-proGLM 5V Turboglm-5v-turboPerceptron Mk1.5perceptron-mk1.5GPT-6 Solgpt-6-sol
Pricing
Input— Not priced per input token$1.20 / 1M$0.15 / 1M$2.00 / 1M
Output— Not priced per output token$4.00 / 1M$1.50 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$1.20 / 1M$0.15 / 1M$2.00 / 1M
Cache Write (1h)Not applicable$1.20 / 1M$0.15 / 1M$2.00 / 1M
Cache ReadNot applicable$1.20 / 1M$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A202.8K36.9K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesNoYes
JSON ModeNoYesNoYes
StreamingNoYesYesYes
Catalogue
ProviderFish AudioZ.AIPerceptronOpenAI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-24—2026-09-25—
Description
SummaryFish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.GLM-5V-Turbo is Z.ai's first native multimodal agent foundation model, designed for vision-based coding and agent-driven workflows. It natively supports image, video, and text inputs, enabling integrated multimodal reasoning and execution. The model excels at long-horizon planning, complex coding, and multi-step task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute”, making it well suited for advanced multimodal automation and real-world agent systems.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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 applications