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

4 is the maximum. Remove one to add another.

s2-pro vs muse-spark-1.3 vs grok-stt-1.0 vs qwen3-asr-0.6b
AttributeS2 Pros2-proMuse Spark 1.3muse-spark-1.3Grok STT 1.0grok-stt-1.0Qwen3 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
ProviderFish AudioMetaxAIQwen
Categoryvoicechatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29—2026-07-232026-08-13
Description
SummaryFish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.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.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.