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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. mai-ds-r1:freeNot in the catalogueRemove
  3. Muse Spark 1.3MetaRemove
gemini-3.5-transcribe vs mai-ds-r1:free vs muse-spark-1.3
AttributeGemini 3.5 Transcribegemini-3.5-transcribemai-ds-r1:freeNot in the catalogueMuse 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 ReadNot applicable—$1.25 / 1M
Web Search$0 / 1M—$0 / 1M
Context
Max context98.3K—1M
Max outputN/A—N/A
Capabilities
VisionYes—Yes
Function CallingYes—Yes
JSON ModeNo—Yes
StreamingNo—Yes
Catalogue
ProviderGoogle—Meta
Categoryvoice—chat
Charge typePay As You Go—Pay As You Go
Released2026-09-25——
Description
SummaryGoogle 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.