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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. Qwen3 ASR 0.6BQwenRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

grok-stt-1.0 vs qwen3-asr-0.6b vs perceptron-mk1.5 vs muse-spark-1.3
AttributeGrok STT 1.0grok-stt-1.0Qwen3 ASR 0.6Bqwen3-asr-0.6bPerceptron Mk1.5perceptron-mk1.5Muse Spark 1.3muse-spark-1.3
Pricing
Input$0 / 1M$0 / 1M$0.15 / 1M$1.25 / 1M
Output$0 / 1M$0 / 1M$1.50 / 1M$4.25 / 1M
Cache Write (5m)Not applicableNot applicable$0.15 / 1M$1.25 / 1M
Cache Write (1h)Not applicableNot applicable$0.15 / 1M$1.25 / 1M
Cache ReadNot applicableNot applicable$0.15 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A36.9K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoNoYes
Function CallingNoNoNoYes
JSON ModeNoNoNoYes
StreamingNoNoYesYes
Catalogue
ProviderxAIQwenPerceptronMeta
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-232026-08-132026-09-25—
Description
SummaryxAI Grok STT 1.0 speech-to-text. Billed per second of audio.Qwen3-ASR 0.6B 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.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.