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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Gemini 3.5 TranscribeGoogleRemove
  2. Gemini 4 ArgonGoogleRemove
  3. GPT-6 AstraOpenAIRemove
gemini-3.5-transcribe vs gemini-4-argon vs gpt-6-astra
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGemini 4 Argongemini-4-argonGPT-6 Astragpt-6-astra
Pricing
Input— Not priced per input token$2.00 / 1M$10.00 / 1M
Output— Not priced per output token$10.00 / 1M$50.00 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$10.00 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$10.00 / 1M
Cache ReadNot applicable$2.00 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleGoogleOpenAI
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.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.