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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. Universal-3.5 ProAssemblyAIRemove
  3. GLM 5V TurboZ.AIRemove
transcribe-1-pro vs universal-3-5-pro vs glm-5v-turbo
AttributeTranscribe 1 Protranscribe-1-proUniversal-3.5 Prouniversal-3-5-proGLM 5V Turboglm-5v-turbo
Pricing
Input— Not priced per input token— Not priced per input token$1.20 / 1M
Output— Not priced per output token— Not priced per output token$4.00 / 1M
Cache Write (5m)Not applicableNot applicable$1.20 / 1M
Cache Write (1h)Not applicableNot applicable$1.20 / 1M
Cache ReadNot applicableNot applicable$1.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A202.8K
Max outputN/AN/AN/A
Capabilities
VisionNoNoYes
Function CallingNoNoYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderFish AudioAssemblyAIZ.AI
Categoryvoicevoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-242026-09-22—
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.AssemblyAI Universal-3.5 Pro speech-to-text. 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.