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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. GPT-6 AstraOpenAIRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gpt-6-astra vs glm-5.3-flash vs gemini-3.5-transcribe
AttributeGPT-6 Astragpt-6-astraGLM 5.3 Flashglm-5.3-flashGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$10.00 / 1M$0.075 / 1M— Not priced per input token
Output$50.00 / 1M$0.25 / 1M— Not priced per output token
Cache Write (5m)$10.00 / 1M$0.075 / 1MNot applicable
Cache Write (1h)$10.00 / 1M$0.075 / 1MNot applicable
Cache Read$10.00 / 1M$0.075 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderOpenAIZ.AIGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.