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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.

  1. Gemini 3.7 FlashGoogleRemove
  2. GLM 5Z.AIRemove
  3. Hy4 previewTencentRemove
gemini-3.7-flash vs glm-5 vs hy4-preview
AttributeGemini 3.7 Flashgemini-3.7-flashGLM 5glm-5Hy4 previewhy4-preview
Pricing
Input$0.375 / 1M$0.60 / 1M$0.834 / 1M
Output$1.88 / 1M$2.20 / 1M$2.50 / 1M
Cache Write (5m)$0.375 / 1M$0.60 / 1M$0.834 / 1M
Cache Write (1h)$0.375 / 1M$0.60 / 1M$0.834 / 1M
Cache Read$0.375 / 1M$0.60 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M202.8K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleZ.AITencent
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.GLM-5 is Z.AI's flagship open-source foundation model, engineered for complex systems design and long-horizon agent workflows. Built with expert developers in mind, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction capabilities, GLM-5 extends beyond traditional code generation to support full-system construction and autonomous execution, making it well suited for advanced engineering and agent-driven development environments.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.