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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. Hy4 previewTencentRemove
  4. GPT Image 2OpenAIRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs glm-5.3 vs hy4-preview vs gpt-image-2
AttributeGemini 3.8 Flashgemini-3.8-flashGLM 5.3glm-5.3Hy4 previewhy4-previewGPT Image 2gpt-image-2
Pricing
Input$0.75 / 1M$1.40 / 1M$0.834 / 1M
Output$3.75 / 1M$4.40 / 1M$2.50 / 1M
Cache Write (5m)$0.75 / 1M$1.40 / 1M$0.834 / 1MNot applicable
Cache Write (1h)$0.75 / 1M$1.40 / 1M$0.834 / 1MNot applicable
Cache Read$0.75 / 1M$1.40 / 1M$0.834 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$0.04 / request
BillingPay Per Request
Context
Max context1M1M1M272K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderGoogleZ.AITencentOpenAI
Categorychatchatchatimage
Charge typePay As You GoPay As You GoPay As You GoPay Per Request
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.GPT Image 2 combines OpenAI's GPT-5.4 with advanced image generation capabilities from GPT Image 2, enabling fully integrated multimodal workflows. It allows users to seamlessly transition between reasoning, coding, and visual generation within a single interaction, making it well suited for creative, development, and agent-driven applications that require both intelligence and visual output.