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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. S1Fish AudioRemove
  2. Muse Spark 1.3MetaRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. GPT-6 Luna ProOpenAIRemove

4 is the maximum. Remove one to add another.

s1 vs muse-spark-1.3 vs gemini-3.5-transcribe vs gpt-6-luna-pro
AttributeS1s1Muse Spark 1.3muse-spark-1.3Gemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Luna Progpt-6-luna-pro
Pricing
Input$0 / 1M$1.25 / 1M$0 / 1M$0.10 / 1M
Output$0 / 1M$4.25 / 1M$0 / 1M$0.50 / 1M
Cache Write (5m)Not applicable$1.25 / 1MNot applicable$0.10 / 1M
Cache Write (1h)Not applicable$1.25 / 1MNot applicable$0.10 / 1M
Cache ReadNot applicable$1.25 / 1MNot applicable$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M98.3K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesNoYes
StreamingNoYesNoYes
Catalogue
ProviderFish AudioMetaGoogleOpenAI
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29—2026-09-25—
Description
SummaryFish Audio S1 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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.