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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. Voxtral Small 24B 2507 STTMistral AIRemove
  3. Muse Spark 1.3MetaRemove
gemini-3.5-transcribe vs voxtral-small-24b-2507-stt vs muse-spark-1.3
AttributeGemini 3.5 Transcribegemini-3.5-transcribeVoxtral Small 24B 2507 STTvoxtral-small-24b-2507-sttMuse 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 context98.3KN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderGoogleMistral AIMeta
Categoryvoicevoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-252026-08-13—
Description
SummaryGoogle 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.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.