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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 5.3 FlashZ.AIRemove
  2. Moonshot V1 32kMoonshot AIRemove
  3. Qwen3.8 27BAlibabaRemove
glm-5.3-flash vs moonshot-v1-32k vs qwen3.8-27b
AttributeGLM 5.3 Flashglm-5.3-flashMoonshot V1 32kmoonshot-v1-32kQwen3.8 27Bqwen3.8-27b
Pricing
Input$0.075 / 1M$3.29 / 1M$0.45 / 1M
Output$0.25 / 1M$3.29 / 1M$3.20 / 1M
Cache Write (5m)$0.075 / 1M$3.29 / 1M$0.45 / 1M
Cache Write (1h)$0.075 / 1M$3.29 / 1M$0.45 / 1M
Cache Read$0.075 / 1M$3.29 / 1M$0.45 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M32K262K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderZ.AIMoonshot AIAlibaba
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-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.Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.