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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.

  1. GLM 5.3 FlashZ.AIRemove
  2. Hy4 previewTencentRemove
  3. Grok 3 BetaxAIRemove
  4. Qwen3.8 27BAlibabaRemove

4 is the maximum. Remove one to add another.

glm-5.3-flash vs hy4-preview vs grok-3-beta vs qwen3.8-27b
AttributeGLM 5.3 Flashglm-5.3-flashHy4 previewhy4-previewGrok 3 Betagrok-3-betaQwen3.8 27Bqwen3.8-27b
Pricing
Input$0.075 / 1M$0.834 / 1M$3.00 / 1M$0.45 / 1M
Output$0.25 / 1M$2.50 / 1M$15.00 / 1M$3.20 / 1M
Cache Write (5m)$0.075 / 1M$0.834 / 1M$3.00 / 1M$0.45 / 1M
Cache Write (1h)$0.075 / 1M$0.834 / 1M$3.00 / 1M$0.45 / 1M
Cache Read$0.075 / 1M$0.834 / 1M$3.00 / 1M$0.45 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M131.1K262K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderZ.AITencentxAIAlibaba
Categorychatchatchatchat
Charge typePay As You GoPay 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.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.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.