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Qwen3.8 27BAlibaba Remove
Llama 3.2 3B InstructMeta Remove
GLM 5.3 FlashZ.AI Remove

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qwen3.8-27b vs llama-3.2-3b-instruct vs glm-5.3-flash
Attribute	Qwen3.8 27Bqwen3.8-27b	Llama 3.2 3B Instructllama-3.2-3b-instruct	GLM 5.3 Flashglm-5.3-flash
Pricing
Input	$0.45 / 1M	$0.324 / 1M	$0.075 / 1M
Output	$3.20 / 1M	$0.324 / 1M	$0.25 / 1M
Cache Write (5m)	$0.45 / 1M	$0.324 / 1M	$0.075 / 1M
Cache Write (1h)	$0.45 / 1M	$0.324 / 1M	$0.075 / 1M
Cache Read	$0.45 / 1M	$0.324 / 1M	$0.075 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	262K	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	Alibaba	Meta	Z.AI
Category	chat	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	—
Description
Summary	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.	—	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.