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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. Gemini 3.5 TranscribeGoogleRemove
  3. Voxtral Small 24B 2507 STTMistral AIRemove
muse-spark-1.3 vs gemini-3.5-transcribe vs voxtral-small-24b-2507-stt
AttributeMuse Spark 1.3muse-spark-1.3Gemini 3.5 Transcribegemini-3.5-transcribeVoxtral Small 24B 2507 STTvoxtral-small-24b-2507-stt
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 context1M98.3KN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderMetaGoogleMistral AI
Categorychatvoicevoice
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-252026-08-13
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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Mistral AI Voxtral Small (24B) speech-to-text. Billed per second of audio.