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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. Perceptron Mk1.5PerceptronRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. MAI-Transcribe 2MicrosoftRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs claude-sonnet-5.5 vs mai-transcribe-2 vs gpt-6-astra
AttributePerceptron Mk1.5perceptron-mk1.5Claude Sonnet 5.5claude-sonnet-5.5MAI-Transcribe 2mai-transcribe-2GPT-6 Astragpt-6-astra
Pricing
Input$0.15 / 1M$2.00 / 1M$0 / 1M$10.00 / 1M
Output$1.50 / 1M$10.00 / 1M$0 / 1M$50.00 / 1M
Cache Write (5m)$0.15 / 1M$2.50 / 1MNot applicable$10.00 / 1M
Cache Write (1h)$0.15 / 1M$4.00 / 1MNot applicable$10.00 / 1M
Cache Read$0.15 / 1M$0.20 / 1MNot applicable$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesNoYes
JSON ModeNoYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderPerceptronAnthropicMicrosoftOpenAI
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-03—
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.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.