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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.

  1. GLM 5.3Z.AIRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Ministral 3 14B 2512Mistral AIRemove
glm-5.3 vs glm-5.3-flash vs ministral-14b-2512
AttributeGLM 5.3glm-5.3GLM 5.3 Flashglm-5.3-flashMinistral 3 14B 2512ministral-14b-2512
Pricing
Input$1.40 / 1M$0.075 / 1M$0.20 / 1M
Output$4.40 / 1M$0.25 / 1M$0.20 / 1M
Cache Write (5m)$1.40 / 1M$0.075 / 1M$0.20 / 1M
Cache Write (1h)$1.40 / 1M$0.075 / 1M$0.20 / 1M
Cache Read$1.40 / 1M$0.075 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M262.1K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderZ.AIZ.AIMistral AI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.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.