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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. Perceptron Mk1.5PerceptronRemove
  2. GLM 5 TurboZ.AIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. Transcribe 1 ProFish AudioRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs glm-5-turbo vs gemini-3.5-transcribe vs transcribe-1-pro
AttributePerceptron Mk1.5perceptron-mk1.5GLM 5 Turboglm-5-turboGemini 3.5 Transcribegemini-3.5-transcribeTranscribe 1 Protranscribe-1-pro
Pricing
Input$0.15 / 1M$0.96 / 1M— Not priced per input token— Not priced per input token
Output$1.50 / 1M$3.20 / 1M— Not priced per output token— Not priced per output token
Cache Write (5m)$0.15 / 1M$0.96 / 1MNot applicableNot applicable
Cache Write (1h)$0.15 / 1M$0.96 / 1MNot applicableNot applicable
Cache Read$0.15 / 1M$0.96 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K202.8K98.3KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesNo
Function CallingNoYesYesNo
JSON ModeNoYesNoNo
StreamingYesYesNoNo
Catalogue
ProviderPerceptronZ.AIGoogleFish Audio
Categorychatchatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-252026-09-24
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output 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.