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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. Grok STT 1.0xAIRemove
  2. Muse Spark 1.3MetaRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Transcribe 1 ProFish AudioRemove

4 is the maximum. Remove one to add another.

grok-stt-1.0 vs muse-spark-1.3 vs perceptron-mk1.5 vs transcribe-1-pro
AttributeGrok STT 1.0grok-stt-1.0Muse Spark 1.3muse-spark-1.3Perceptron Mk1.5perceptron-mk1.5Transcribe 1 Protranscribe-1-pro
Pricing
Input$0 / 1M$1.25 / 1M$0.15 / 1M$0 / 1M
Output$0 / 1M$4.25 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)Not applicable$1.25 / 1M$0.15 / 1MNot applicable
Cache Write (1h)Not applicable$1.25 / 1M$0.15 / 1MNot applicable
Cache ReadNot applicable$1.25 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesYesNo
Catalogue
ProviderxAIMetaPerceptronFish Audio
Categoryvoicechatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-23—2026-09-252026-09-24
Description
SummaryxAI Grok STT 1.0 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.