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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. Hy4 previewTencentRemove
  3. mai-ds-r1:freeNot in the catalogueRemove
  4. Muse Spark OpenMetaRemove

4 is the maximum. Remove one to add another.

muse-wonder vs hy4-preview vs mai-ds-r1:free vs muse-spark-open
AttributeMuse Wondermuse-wonderHy4 previewhy4-previewmai-ds-r1:freeNot in the catalogueMuse Spark Openmuse-spark-open
Pricing
Input$4.00 / 1M$0.834 / 1M—$1.25 / 1M
Output$20.00 / 1M$2.50 / 1M—$4.25 / 1M
Cache Write (5m)$4.00 / 1M$0.834 / 1M—$1.25 / 1M
Cache Write (1h)$4.00 / 1M$0.834 / 1M—$1.25 / 1M
Cache Read$4.00 / 1M$0.834 / 1M—$1.25 / 1M
Web Search$0 / 1M$0 / 1M—$0 / 1M
Context
Max context1M1M—1M
Max outputN/AN/A—N/A
Capabilities
VisionYesYes—Yes
Function CallingYesYes—Yes
JSON ModeYesYes—Yes
StreamingYesYes—Yes
Catalogue
ProviderMetaTencent—Meta
Categorychatchat—chat
Charge typePay As You GoPay As You Go—Pay As You Go
Released————
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.—Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.