Skip to content

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-4Z.AIRemove
  2. Hy4 previewTencentRemove
  3. GLM 5.3 FlashZ.AIRemove
  4. DeepSeek V4.1 FlashDeepSeekRemove

4 is the maximum. Remove one to add another.

glm-4 vs hy4-preview vs glm-5.3-flash vs deepseek-v4.1-flash
AttributeGLM-4glm-4Hy4 previewhy4-previewGLM 5.3 Flashglm-5.3-flashDeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Input$0.21 / 1M$0.834 / 1M$0.075 / 1M$0.30 / 1M
Output$0.21 / 1M$2.50 / 1M$0.25 / 1M$1.20 / 1M
Cache Write (5m)$0.21 / 1M$0.834 / 1M$0.075 / 1M$0.30 / 1M
Cache Write (1h)$0.21 / 1M$0.834 / 1M$0.075 / 1M$0.30 / 1M
Cache Read$0.21 / 1M$0.834 / 1M$0.075 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context128K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AITencentZ.AIDeepSeek
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-4V-9B is the open-source multimodal model in Zhipu AI’s GLM-4 series. It supports high-resolution (1120×1120) bilingual Chinese–English dialogue across multiple turns, and performs strongly in perception, reasoning, OCR, and chart understanding. Across many multimodal benchmarks, it outperforms models such as GPT-4-turbo-2024-04-09, Gemini 1.0 Pro, Qwen-VL-Max, and Claude 3 Opus.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.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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.