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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.

Hy4 previewTencent Remove
Phi-3.5 Mini 128K InstructMicrosoft Remove
Muse Spark 1.3Meta Remove

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hy4-preview vs phi-3.5-mini-128k-instruct vs muse-spark-1.3
Attribute	Hy4 previewhy4-preview	Phi-3.5 Mini 128K Instructphi-3.5-mini-128k-instruct	Muse Spark 1.3muse-spark-1.3
Pricing
Input	$0.834 / 1M	$0.03 / 1M	$1.25 / 1M
Output	$2.50 / 1M	$0.09 / 1M	$4.25 / 1M
Cache Write (5m)	$0.834 / 1M	$0.03 / 1M	$1.25 / 1M
Cache Write (1h)	$0.834 / 1M	$0.03 / 1M	$1.25 / 1M
Cache Read	$0.834 / 1M	$0.03 / 1M	$1.25 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	131.1K	1M
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes
Function Calling	Yes	No	Yes
JSON Mode	Yes	No	Yes
Streaming	Yes	No	Yes
Catalogue
Provider	Tencent	Microsoft	Meta
Category	chat	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	—
Description
Summary	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 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.