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Apertis

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. S1Fish AudioRemove
  2. Muse Spark 1.3MetaRemove
  3. S2 ProFish AudioRemove
  4. Voxtral Small 24B 2507 STTMistral AIRemove

4 is the maximum. Remove one to add another.

s1 vs muse-spark-1.3 vs s2-pro vs voxtral-small-24b-2507-stt
AttributeS1s1Muse Spark 1.3muse-spark-1.3S2 Pros2-proVoxtral Small 24B 2507 STTvoxtral-small-24b-2507-stt
Pricing
Input$0 / 1M$1.25 / 1M$0 / 1M$0 / 1M
Output$0 / 1M$4.25 / 1M$0 / 1M$0 / 1M
Cache Write (5m)Not applicable$1.25 / 1MNot applicableNot applicable
Cache Write (1h)Not applicable$1.25 / 1MNot applicableNot applicable
Cache ReadNot applicable$1.25 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1MN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesNoNo
Catalogue
ProviderFish AudioMetaFish AudioMistral AI
Categoryvoicechatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29—2026-07-292026-08-13
Description
SummaryFish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.Mistral AI Voxtral Small (24B) speech-to-text. Billed per second of audio.