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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 WonderMetaRemove
  2. mai-ds-r1:freeNot in the catalogueRemove
  3. Hy4 previewTencentRemove
  4. Transcribe 1 ProFish AudioRemove

4 is the maximum. Remove one to add another.

muse-wonder vs mai-ds-r1:free vs hy4-preview vs transcribe-1-pro
AttributeMuse Wondermuse-wondermai-ds-r1:freeNot in the catalogueHy4 previewhy4-previewTranscribe 1 Protranscribe-1-pro
Pricing
Input$4.00 / 1M—$0.834 / 1M— Not priced per input token
Output$20.00 / 1M—$2.50 / 1M— Not priced per output token
Cache Write (5m)$4.00 / 1M—$0.834 / 1MNot applicable
Cache Write (1h)$4.00 / 1M—$0.834 / 1MNot applicable
Cache Read$4.00 / 1M—$0.834 / 1MNot applicable
Web Search$0 / 1M—$0 / 1M$0 / 1M
Context
Max context1M—1MN/A
Max outputN/A—N/AN/A
Capabilities
VisionYes—YesNo
Function CallingYes—YesNo
JSON ModeYes—YesNo
StreamingYes—YesNo
Catalogue
ProviderMeta—TencentFish Audio
Categorychat—chatvoice
Charge typePay As You Go—Pay As You GoPay As You Go
Released———2026-09-24
Description
SummaryMuse 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.—Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.