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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 5.3Z.AIRemove
  2. GLM-4Z.AIRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs glm-4 vs gemini-3.8-flash vs hy4-preview
AttributeGLM 5.3glm-5.3GLM-4glm-4Gemini 3.8 Flashgemini-3.8-flashHy4 previewhy4-preview
Pricing
Input$1.40 / 1M$0.21 / 1M$0.75 / 1M$0.834 / 1M
Output$4.40 / 1M$0.21 / 1M$3.75 / 1M$2.50 / 1M
Cache Write (5m)$1.40 / 1M$0.21 / 1M$0.75 / 1M$0.834 / 1M
Cache Write (1h)$1.40 / 1M$0.21 / 1M$0.75 / 1M$0.834 / 1M
Cache Read$1.40 / 1M$0.21 / 1M$0.75 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M128K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIZ.AIGoogleTencent
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.GLM-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.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.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.