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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. mai-ds-r1:freeNot in the catalogueRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Muse Spark 1.3MetaRemove
mai-ds-r1:free vs gemini-3.5-transcribe vs muse-spark-1.3
Attributemai-ds-r1:freeNot in the catalogueGemini 3.5 Transcribegemini-3.5-transcribeMuse Spark 1.3muse-spark-1.3
Pricing
Input—— Not priced per input token$1.25 / 1M
Output—— Not priced per output token$4.25 / 1M
Cache Write (5m)—Not applicable$1.25 / 1M
Cache Write (1h)—Not applicable$1.25 / 1M
Cache Read—Not applicable$1.25 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context—98.3K1M
Max output—N/AN/A
Capabilities
Vision—YesYes
Function Calling—YesYes
JSON Mode—NoYes
Streaming—NoYes
Catalogue
Provider—GoogleMeta
Category—voicechat
Charge type—Pay As You GoPay As You Go
Released—2026-09-25—
Description
Summary—Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.