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Compare models

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. Muse Spark 1.3MetaRemove
  3. Gemini 3.5 TranscribeGoogleRemove
voxtral-small-24b-2507-stt vs muse-spark-1.3 vs gemini-3.5-transcribe
AttributeVoxtral Small 24B 2507 STTvoxtral-small-24b-2507-sttMuse Spark 1.3muse-spark-1.3Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0 / 1M$1.25 / 1M$0 / 1M
Output$0 / 1M$4.25 / 1M$0 / 1M
Cache Write (5m)Not applicable$1.25 / 1MNot applicable
Cache Write (1h)Not applicable$1.25 / 1MNot applicable
Cache ReadNot applicable$1.25 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderMistral AIMetaGoogle
Categoryvoicechatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released2026-08-13—2026-09-25
Description
SummaryMistral 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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.