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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 5.3 FlashZ.AIRemove
  3. GPT Image 2OpenAIRemove
gemini-3.7-flash vs glm-5.3-flash vs gpt-image-2
AttributeGemini 3.7 Flashgemini-3.7-flashGLM 5.3 Flashglm-5.3-flashGPT Image 2gpt-image-2
Pricing
Input$0.375 / 1M$0.075 / 1M
Output$1.88 / 1M$0.25 / 1M
Cache Write (5m)$0.375 / 1M$0.075 / 1MNot applicable
Cache Write (1h)$0.375 / 1M$0.075 / 1MNot applicable
Cache Read$0.375 / 1M$0.075 / 1MNot applicable
Web Search$0 / 1M$0 / 1M
Request$0.04 / request
BillingPay Per Request
Context
Max context1M1M272K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleZ.AIOpenAI
Categorychatchatimage
Charge typePay As You GoPay As You GoPay Per Request
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-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.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.