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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. Voxtral Small 24B 2507 STTMistral AIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Muse Spark 1.3MetaRemove
voxtral-small-24b-2507-stt vs gemini-3.5-transcribe vs muse-spark-1.3
AttributeVoxtral Small 24B 2507 STTvoxtral-small-24b-2507-sttGemini 3.5 Transcribegemini-3.5-transcribeMuse Spark 1.3muse-spark-1.3
Pricing
Input$0 / 1M$0 / 1M$1.25 / 1M
Output$0 / 1M$0 / 1M$4.25 / 1M
Cache Write (5m)Not applicableNot applicable$1.25 / 1M
Cache Write (1h)Not applicableNot applicable$1.25 / 1M
Cache ReadNot applicableNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A98.3K1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderMistral AIGoogleMeta
Categoryvoicevoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-08-132026-09-25—
Description
SummaryMistral 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.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.