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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-4o Mini TTSOpenAIRemove
  2. Muse WonderMetaRemove
gpt-4o-mini-tts-2025-12-15 vs muse-wonder
AttributeGPT-4o Mini TTSgpt-4o-mini-tts-2025-12-15Muse Wondermuse-wonder
Pricing
Input$0.30 / 1M$4.00 / 1M
Output— Not priced per output token$20.00 / 1M
Cache Write (5m)Not applicable$4.00 / 1M
Cache Write (1h)Not applicable$4.00 / 1M
Cache ReadNot applicable$4.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context4.1K1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingNoYes
JSON ModeYesYes
StreamingNoYes
Catalogue
ProviderOpenAIMeta
Categoryvoicechat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGPT-4o Mini TTS is OpenAI's cost-efficient text-to-speech model, designed to convert text into natural-sounding audio output. It supports a variety of voices and tones, enabling flexible and expressive speech generation. Optimized for scalability and low cost, it is well suited for real-time voice applications, content narration, and high-volume audio generation workflows.Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision.