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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. GLM 5V TurboZ.AIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Transcribe 1 ProFish AudioRemove
glm-5v-turbo vs perceptron-mk1.5 vs transcribe-1-pro
AttributeGLM 5V Turboglm-5v-turboPerceptron Mk1.5perceptron-mk1.5Transcribe 1 Protranscribe-1-pro
Pricing
Input$1.20 / 1M$0.15 / 1M— Not priced per input token
Output$4.00 / 1M$1.50 / 1M— Not priced per output token
Cache Write (5m)$1.20 / 1M$0.15 / 1MNot applicable
Cache Write (1h)$1.20 / 1M$0.15 / 1MNot applicable
Cache Read$1.20 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context202.8K36.9KN/A
Max outputN/AN/AN/A
Capabilities
VisionYesNoNo
Function CallingYesNoNo
JSON ModeYesNoNo
StreamingYesYesNo
Catalogue
ProviderZ.AIPerceptronFish Audio
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-252026-09-24
Description
SummaryGLM-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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.