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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.

GLM 5.3 FlashZ.AI Remove
Qwen3.8 27BAlibaba Remove
Gemma 3 1BGoogle Remove

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glm-5.3-flash vs qwen3.8-27b vs gemma-3-1b-it
Attribute	GLM 5.3 Flashglm-5.3-flash	Qwen3.8 27Bqwen3.8-27b	Gemma 3 1Bgemma-3-1b-it
Pricing
Input	$0.075 / 1M	$0.45 / 1M	$0 / 1M
Output	$0.25 / 1M	$3.20 / 1M	$0 / 1M
Cache Write (5m)	$0.075 / 1M	$0.45 / 1M	$0.00 / 1M
Cache Write (1h)	$0.075 / 1M	$0.45 / 1M	$0.00 / 1M
Cache Read	$0.075 / 1M	$0.45 / 1M	$0.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	262K	32.8K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	Yes	Yes	No
JSON Mode	Yes	Yes	No
Streaming	Yes	Yes	No
Catalogue
Provider	Z.AI	Alibaba	Google
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.	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.	—