Skip to content

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. Hy4 previewTencentRemove
  2. Universal-3.5 ProAssemblyAIRemove
  3. Muse Spark OpenMetaRemove
hy4-preview vs universal-3-5-pro vs muse-spark-open
AttributeHy4 previewhy4-previewUniversal-3.5 Prouniversal-3-5-proMuse Spark Openmuse-spark-open
Pricing
Input$0.834 / 1M— Not priced per input token$1.25 / 1M
Output$2.50 / 1M— Not priced per output token$4.25 / 1M
Cache Write (5m)$0.834 / 1MNot applicable$1.25 / 1M
Cache Write (1h)$0.834 / 1MNot applicable$1.25 / 1M
Cache Read$0.834 / 1MNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderTencentAssemblyAIMeta
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-22—
Description
SummaryTencent 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.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.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.