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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. Grok STT 1.0xAIRemove
  2. Muse Spark 1.3MetaRemove
  3. S1Fish AudioRemove
  4. Qwen3 ASR 0.6BQwenRemove

4 is the maximum. Remove one to add another.

grok-stt-1.0 vs muse-spark-1.3 vs s1 vs qwen3-asr-0.6b
AttributeGrok STT 1.0grok-stt-1.0Muse Spark 1.3muse-spark-1.3S1s1Qwen3 ASR 0.6Bqwen3-asr-0.6b
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/A1MN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesNoNo
Catalogue
ProviderxAIMetaFish AudioQwen
Categoryvoicechatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-23—2026-07-292026-08-13
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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.