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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-4o TranscribeOpenAIRemove
  2. GPT-6 AstraOpenAIRemove
  3. Gemini 3.8 FlashGoogleRemove
gpt-4o-transcribe vs gpt-6-astra vs gemini-3.8-flash
AttributeGPT-4o Transcribegpt-4o-transcribeGPT-6 Astragpt-6-astraGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$1.25 / 1M$10.00 / 1M$0.75 / 1M
Output$0 / 1M$50.00 / 1M$3.75 / 1M
Cache Write (5m)Not applicable$10.00 / 1M$0.75 / 1M
Cache Write (1h)Not applicable$10.00 / 1M$0.75 / 1M
Cache ReadNot applicable$10.00 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context128K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeYesYesYes
StreamingNoYesYes
Catalogue
ProviderOpenAIOpenAIGoogle
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.GPT-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.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.