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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. GLM 5 TurboZ.AIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Transcribe 1 ProFish AudioRemove
  4. GPT-6.1 SolOpenAIRemove

4 is the maximum. Remove one to add another.

glm-5-turbo vs perceptron-mk1.5 vs transcribe-1-pro vs gpt-6.1-sol
AttributeGLM 5 Turboglm-5-turboPerceptron Mk1.5perceptron-mk1.5Transcribe 1 Protranscribe-1-proGPT-6.1 Solgpt-6.1-sol
Pricing
Input$0.96 / 1M$0.15 / 1M— Not priced per input token$2.00 / 1M
Output$3.20 / 1M$1.50 / 1M— Not priced per output token$10.00 / 1M
Cache Write (5m)$0.96 / 1M$0.15 / 1MNot applicable$2.00 / 1M
Cache Write (1h)$0.96 / 1M$0.15 / 1MNot applicable$2.00 / 1M
Cache Read$0.96 / 1M$0.15 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context202.8K36.9KN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesYesNoYes
Catalogue
ProviderZ.AIPerceptronFish AudioOpenAI
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-09-24—
Description
SummaryGLM-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.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.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.