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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. Muse Spark 1.3MetaRemove
  2. Voxtral Small 24B 2507 STTMistral AIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
muse-spark-1.3 vs voxtral-small-24b-2507-stt vs gemini-3.5-transcribe
AttributeMuse Spark 1.3muse-spark-1.3Voxtral Small 24B 2507 STTvoxtral-small-24b-2507-sttGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$1.25 / 1M$0 / 1M$0 / 1M
Output$4.25 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1MNot applicableNot applicable
Cache Write (1h)$1.25 / 1MNot applicableNot applicable
Cache Read$1.25 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderMetaMistral AIGoogle
Categorychatvoicevoice
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-08-132026-09-25
Description
SummaryMuse 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.Mistral AI Voxtral Small (24B) speech-to-text. Billed per second of audio.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.