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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. Muse Spark 1.3MetaRemove
  2. Voxtral Small 24B 2507 STTMistral AIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. S1Fish AudioRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs voxtral-small-24b-2507-stt vs perceptron-mk1.5 vs s1
AttributeMuse Spark 1.3muse-spark-1.3Voxtral Small 24B 2507 STTvoxtral-small-24b-2507-sttPerceptron Mk1.5perceptron-mk1.5S1s1
Pricing
Input$1.25 / 1M$0 / 1M$0.15 / 1M$0 / 1M
Output$4.25 / 1M$0 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1MNot applicable$0.15 / 1MNot applicable
Cache Write (1h)$1.25 / 1MNot applicable$0.15 / 1MNot applicable
Cache Read$1.25 / 1MNot applicable$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoNo
Function CallingYesNoNoNo
JSON ModeYesNoNoNo
StreamingYesNoYesNo
Catalogue
ProviderMetaMistral AIPerceptronFish Audio
Categorychatvoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-08-132026-09-252026-07-29
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.