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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. MAI-Transcribe 2MicrosoftRemove
  2. Nova-3DeepgramRemove
  3. Claude Sonnet 5.5AnthropicRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

mai-transcribe-2 vs nova-3 vs claude-sonnet-5.5 vs gpt-6-luna
AttributeMAI-Transcribe 2mai-transcribe-2Nova-3nova-3Claude Sonnet 5.5claude-sonnet-5.5GPT-6 Lunagpt-6-luna
Pricing
Input$0 / 1M$0 / 1M$2.00 / 1M$0.10 / 1M
Output$0 / 1M$0 / 1M$10.00 / 1M$0.50 / 1M
Cache Write (5m)Not applicableNot applicable$2.50 / 1M$0.10 / 1M
Cache Write (1h)Not applicableNot applicable$4.00 / 1M$0.10 / 1M
Cache ReadNot applicableNot applicable$0.20 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1M1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderMicrosoftDeepgramAnthropicOpenAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-032026-07-15——
Description
SummaryMicrosoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.Deepgram Nova-3 speech-to-text. Billed per second of audio.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.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.