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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. S1Fish AudioRemove
  3. Voxtral Small 24B 2507 STTMistral AIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs s1 vs voxtral-small-24b-2507-stt vs perceptron-mk1.5
AttributeMuse Spark 1.3muse-spark-1.3S1s1Voxtral Small 24B 2507 STTvoxtral-small-24b-2507-sttPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$1.25 / 1M$0 / 1M$0 / 1M$0.15 / 1M
Output$4.25 / 1M$0 / 1M$0 / 1M$1.50 / 1M
Cache Write (5m)$1.25 / 1MNot applicableNot applicable$0.15 / 1M
Cache Write (1h)$1.25 / 1MNot applicableNot applicable$0.15 / 1M
Cache Read$1.25 / 1MNot applicableNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/AN/A36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoNo
Function CallingYesNoNoNo
JSON ModeYesNoNoNo
StreamingYesNoNoYes
Catalogue
ProviderMetaFish AudioMistral AIPerceptron
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-292026-08-132026-09-25
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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.