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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. GPT-4o TranscribeOpenAIRemove
  3. GLM 5.3Z.AIRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs gpt-4o-transcribe vs glm-5.3 vs gemini-3.7-flash
AttributeGPT-6 Astragpt-6-astraGPT-4o Transcribegpt-4o-transcribeGLM 5.3glm-5.3Gemini 3.7 Flashgemini-3.7-flash
Pricing
Input$10.00 / 1M$1.25 / 1M$1.40 / 1M$0.375 / 1M
Output$50.00 / 1M$0 / 1M$4.40 / 1M$1.88 / 1M
Cache Write (5m)$10.00 / 1MNot applicable$1.40 / 1M$0.375 / 1M
Cache Write (1h)$10.00 / 1MNot applicable$1.40 / 1M$0.375 / 1M
Cache Read$10.00 / 1MNot applicable$1.40 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M128K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoYesYes
JSON ModeYesYesYesYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIOpenAIZ.AIGoogle
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
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.GPT-4o Transcribe is OpenAI's high-quality speech-to-text model built on GPT-4o's audio capabilities. It delivers accurate transcription with strong language understanding, making it suitable for a wide range of audio processing tasks. Priced per token (input and output), it offers transparent, fine-grained billing, making it well suited for workflows that require scalable transcription, integration with LLM pipelines, and cost-aware processing.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.