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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. Muse Spark 1.3MetaRemove
  2. Grok STT 1.0xAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. S2 ProFish AudioRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs grok-stt-1.0 vs gemini-3.5-transcribe vs s2-pro
AttributeMuse Spark 1.3muse-spark-1.3Grok STT 1.0grok-stt-1.0Gemini 3.5 Transcribegemini-3.5-transcribeS2 Pros2-pro
Pricing
Input$1.25 / 1M$0 / 1M$0 / 1M$0 / 1M
Output$4.25 / 1M$0 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1MNot applicableNot applicableNot applicable
Cache Write (1h)$1.25 / 1MNot applicableNot applicableNot applicable
Cache Read$1.25 / 1MNot applicableNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A98.3KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesNo
JSON ModeYesNoNoNo
StreamingYesNoNoNo
Catalogue
ProviderMetaxAIGoogleFish Audio
Categorychatvoicevoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-232026-09-252026-07-29
Description
SummaryMuse 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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.