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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. Muse Spark 1.3MetaRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Voxtral Small 24B 2507 STTMistral AIRemove
muse-spark-1.3 vs perceptron-mk1.5 vs voxtral-small-24b-2507-stt
AttributeMuse Spark 1.3muse-spark-1.3Perceptron Mk1.5perceptron-mk1.5Voxtral Small 24B 2507 STTvoxtral-small-24b-2507-stt
Pricing
Input$1.25 / 1M$0.15 / 1M$0 / 1M
Output$4.25 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1M$0.15 / 1MNot applicable
Cache Write (1h)$1.25 / 1M$0.15 / 1MNot applicable
Cache Read$1.25 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9KN/A
Max outputN/AN/AN/A
Capabilities
VisionYesNoNo
Function CallingYesNoNo
JSON ModeYesNoNo
StreamingYesYesNo
Catalogue
ProviderMetaPerceptronMistral AI
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-252026-08-13
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Mistral AI Voxtral Small (24B) speech-to-text. Billed per second of audio.