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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. Perceptron Mk1.5PerceptronRemove
  3. GPT-6.1 SolOpenAIRemove
  4. GLM 5 TurboZ.AIRemove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs perceptron-mk1.5 vs gpt-6.1-sol vs glm-5-turbo
AttributeTranscribe 1 Protranscribe-1-proPerceptron Mk1.5perceptron-mk1.5GPT-6.1 Solgpt-6.1-solGLM 5 Turboglm-5-turbo
Pricing
Input— Not priced per input token$0.15 / 1M$2.00 / 1M$0.96 / 1M
Output— Not priced per output token$1.50 / 1M$10.00 / 1M$3.20 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$2.00 / 1M$0.96 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$2.00 / 1M$0.96 / 1M
Cache ReadNot applicable$0.15 / 1M$2.00 / 1M$0.96 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A36.9K1M202.8K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingNoYesYesYes
Catalogue
ProviderFish AudioPerceptronOpenAIZ.AI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-242026-09-25——
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-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.GLM-5 Turbo is a high-performance model from Z.ai optimized for fast inference and agent-driven workflows. Designed for real-world environments such as OpenClaw scenarios, it delivers strong performance across long execution chains and complex task pipelines. The model features improved instruction decomposition, tool integration, scheduled and persistent execution, and enhanced stability for extended multi-step tasks, making it well suited for autonomous agents and production automation workflows.