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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. GPT Image 2OpenAIRemove
gemini-3.8-flash vs glm-5.3 vs gpt-image-2
AttributeGemini 3.8 Flashgemini-3.8-flashGLM 5.3glm-5.3GPT Image 2gpt-image-2
Pricing
Input$0.75 / 1M$1.40 / 1M
Output$3.75 / 1M$4.40 / 1M
Cache Write (5m)$0.75 / 1M$1.40 / 1MNot applicable
Cache Write (1h)$0.75 / 1M$1.40 / 1MNot applicable
Cache Read$0.75 / 1M$1.40 / 1MNot applicable
Web Search$0 / 1M$0 / 1M
Request$0.04 / request
BillingPay Per Request
Context
Max context1M1M272K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleZ.AIOpenAI
Categorychatchatimage
Charge typePay 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.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.