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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. Gemini 2.5 Pro DeepSearchGoogleRemove
  2. GLM 5.3Z.AIRemove
  3. Hy4 previewTencentRemove
  4. Gemini 3.8 FlashGoogleRemove

4 is the maximum. Remove one to add another.

gemini-2.5-pro-deepsearch vs glm-5.3 vs hy4-preview vs gemini-3.8-flash
AttributeGemini 2.5 Pro DeepSearchgemini-2.5-pro-deepsearchGLM 5.3glm-5.3Hy4 previewhy4-previewGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$7.00 / 1M$1.40 / 1M$0.834 / 1M$0.75 / 1M
Output$56.00 / 1M$4.40 / 1M$2.50 / 1M$3.75 / 1M
Cache Write (5m)$7.00 / 1M$1.40 / 1M$0.834 / 1M$0.75 / 1M
Cache Write (1h)$7.00 / 1M$1.40 / 1M$0.834 / 1M$0.75 / 1M
Cache Read$7.00 / 1M$1.40 / 1M$0.834 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.0M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderGoogleZ.AITencentGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 2.5 Pro is Google's top reasoning model for coding, math, and scientific work. It uses built-in “thinking” to deliver more accurate, context-aware answers and ranks at the top of major benchmarks like LMArena, showing strong alignment and problem-solving ability.GLM-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.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.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.