Skip to content

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. Gemini 4 ArgonGoogleRemove
  2. mai-ds-r1:freeNot in the catalogueRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

gemini-4-argon vs mai-ds-r1:free vs perceptron-mk1.5 vs gpt-6-astra
AttributeGemini 4 Argongemini-4-argonmai-ds-r1:freeNot in the cataloguePerceptron Mk1.5perceptron-mk1.5GPT-6 Astragpt-6-astra
Pricing
Input$2.00 / 1M—$0.15 / 1M$10.00 / 1M
Output$10.00 / 1M—$1.50 / 1M$50.00 / 1M
Cache Write (5m)$2.00 / 1M—$0.15 / 1M$10.00 / 1M
Cache Write (1h)$2.00 / 1M—$0.15 / 1M$10.00 / 1M
Cache Read$2.00 / 1M—$0.15 / 1M$10.00 / 1M
Web Search$0 / 1M—$0 / 1M$0 / 1M
Context
Max context1M—36.9K1M
Max outputN/A—N/AN/A
Capabilities
VisionYes—NoYes
Function CallingYes—NoYes
JSON ModeYes—NoYes
StreamingYes—YesYes
Catalogue
ProviderGoogle—PerceptronOpenAI
Categorychat—chatchat
Charge typePay As You Go—Pay As You GoPay As You Go
Released——2026-09-25—
Description
SummaryGemini 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.—Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.