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GLM 5.3 FlashZ.AI Remove
Ministral 3 14B 2512Mistral AI Remove
Muse Spark 1.3Meta Remove

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glm-5.3-flash vs ministral-14b-2512 vs muse-spark-1.3
Attribute	GLM 5.3 Flashglm-5.3-flash	Ministral 3 14B 2512ministral-14b-2512	Muse Spark 1.3muse-spark-1.3
Pricing
Input	$0.075 / 1M	$0.20 / 1M	$1.25 / 1M
Output	$0.25 / 1M	$0.20 / 1M	$4.25 / 1M
Cache Write (5m)	$0.075 / 1M	$0.20 / 1M	$1.25 / 1M
Cache Write (1h)	$0.075 / 1M	$0.20 / 1M	$1.25 / 1M
Cache Read	$0.075 / 1M	$0.20 / 1M	$1.25 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	262.1K	1M
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	Yes
Function Calling	Yes	Yes	Yes
JSON Mode	Yes	Yes	Yes
Streaming	Yes	Yes	Yes
Catalogue
Provider	Z.AI	Mistral AI	Meta
Category	chat	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	—
Description
Summary	GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.	Ministral 3 14B is the largest model in the Ministral 3 lineup, delivering near–frontier performance similar to the larger Mistral Small 3.2 24B. It's a powerful yet efficient language model that also includes vision capabilities.	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.