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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. Gemini 3.5 TranscribeGoogleRemove
  3. GPT-6 SolOpenAIRemove
glm-5-turbo vs gemini-3.5-transcribe vs gpt-6-sol
AttributeGLM 5 Turboglm-5-turboGemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Solgpt-6-sol
Pricing
Input$0.96 / 1M— Not priced per input token$2.00 / 1M
Output$3.20 / 1M— Not priced per output token$10.00 / 1M
Cache Write (5m)$0.96 / 1MNot applicable$2.00 / 1M
Cache Write (1h)$0.96 / 1MNot applicable$2.00 / 1M
Cache Read$0.96 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context202.8K98.3K1.1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderZ.AIGoogleOpenAI
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications