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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. Qwen3 ASR 1.7BQwenRemove
  2. Muse Spark 1.3MetaRemove
  3. Transcribe 1 ProFish AudioRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

qwen3-asr-1.7b vs muse-spark-1.3 vs transcribe-1-pro vs perceptron-mk1.5
AttributeQwen3 ASR 1.7Bqwen3-asr-1.7bMuse Spark 1.3muse-spark-1.3Transcribe 1 Protranscribe-1-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0 / 1M$1.25 / 1M$0 / 1M$0.15 / 1M
Output$0 / 1M$4.25 / 1M$0 / 1M$1.50 / 1M
Cache Write (5m)Not applicable$1.25 / 1MNot applicable$0.15 / 1M
Cache Write (1h)Not applicable$1.25 / 1MNot applicable$0.15 / 1M
Cache ReadNot applicable$1.25 / 1MNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1MN/A36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesNoYes
Catalogue
ProviderQwenMetaFish AudioPerceptron
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-13—2026-09-242026-09-25
Description
SummaryQwen3-ASR 1.7B 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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.