Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

Qwen3.8 27BAlibaba Remove
GLM 5.3 FlashZ.AI Remove
Qwen2.5 Coder 7B InstructAlibaba Remove
Hy4 previewTencent Remove

4 is the maximum. Remove one to add another.

qwen3.8-27b vs glm-5.3-flash vs qwen2.5-coder-7b-instruct vs hy4-preview
Attribute	Qwen3.8 27Bqwen3.8-27b	GLM 5.3 Flashglm-5.3-flash	Qwen2.5 Coder 7B Instructqwen2.5-coder-7b-instruct	Hy4 previewhy4-preview
Pricing
Input	$0.45 / 1M	$0.075 / 1M	$0.20 / 1M	$0.834 / 1M
Output	$3.20 / 1M	$0.25 / 1M	$0.20 / 1M	$2.50 / 1M
Cache Write (5m)	$0.45 / 1M	$0.075 / 1M	$0.20 / 1M	$0.834 / 1M
Cache Write (1h)	$0.45 / 1M	$0.075 / 1M	$0.20 / 1M	$0.834 / 1M
Cache Read	$0.45 / 1M	$0.075 / 1M	$0.20 / 1M	$0.834 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	262K	1M	32.8K	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	Yes
Function Calling	Yes	Yes	No	Yes
JSON Mode	Yes	Yes	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Alibaba	Z.AI	Alibaba	Tencent
Category	chat	chat	chat	chat
Charge type	Pay As You Go	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.	—	Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.