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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 3.8 FlashGoogleRemove
  2. GLM 5.3Z.AIRemove
  3. Gemma 3 1BGoogleRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs glm-5.3 vs gemma-3-1b-it vs hy4-preview
AttributeGemini 3.8 Flashgemini-3.8-flashGLM 5.3glm-5.3Gemma 3 1Bgemma-3-1b-itHy4 previewhy4-preview
Pricing
Input$0.75 / 1M$1.40 / 1M$0 / 1M$0.834 / 1M
Output$3.75 / 1M$4.40 / 1M$0 / 1M$2.50 / 1M
Cache Write (5m)$0.75 / 1M$1.40 / 1M$0.00 / 1M$0.834 / 1M
Cache Write (1h)$0.75 / 1M$1.40 / 1M$0.00 / 1M$0.834 / 1M
Cache Read$0.75 / 1M$1.40 / 1M$0.00 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M32.8K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderGoogleZ.AIGoogleTencent
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 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.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.