Skip to content
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 0.6BQwenRemove
  2. Muse Spark 1.3MetaRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. S1Fish AudioRemove

4 is the maximum. Remove one to add another.

qwen3-asr-0.6b vs muse-spark-1.3 vs gemini-3.5-transcribe vs s1
AttributeQwen3 ASR 0.6Bqwen3-asr-0.6bMuse Spark 1.3muse-spark-1.3Gemini 3.5 Transcribegemini-3.5-transcribeS1s1
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/A1M98.3KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesNo
Function CallingNoYesYesNo
JSON ModeNoYesNoNo
StreamingNoYesNoNo
Catalogue
ProviderQwenMetaGoogleFish Audio
Categoryvoicechatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-13—2026-09-252026-07-29
Description
SummaryQwen3-ASR 0.6B 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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.