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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. S2 ProFish AudioRemove
  2. Qwen3 ASR 0.6BQwenRemove
  3. Muse Spark 1.3MetaRemove
  4. Grok STT 1.0xAIRemove

4 is the maximum. Remove one to add another.

s2-pro vs qwen3-asr-0.6b vs muse-spark-1.3 vs grok-stt-1.0
AttributeS2 Pros2-proQwen3 ASR 0.6Bqwen3-asr-0.6bMuse Spark 1.3muse-spark-1.3Grok STT 1.0grok-stt-1.0
Pricing
Input$0 / 1M$0 / 1M$1.25 / 1M$0 / 1M
Output$0 / 1M$0 / 1M$4.25 / 1M$0 / 1M
Cache Write (5m)Not applicableNot applicable$1.25 / 1MNot applicable
Cache Write (1h)Not applicableNot applicable$1.25 / 1MNot applicable
Cache ReadNot applicableNot applicable$1.25 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesNo
Function CallingNoNoYesNo
JSON ModeNoNoYesNo
StreamingNoNoYesNo
Catalogue
ProviderFish AudioQwenMetaxAI
Categoryvoicevoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-292026-08-13—2026-07-23
Description
SummaryFish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.Qwen3-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.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.