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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. Veo 3GoogleRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. GPT-6 AstraOpenAIRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

veo3 vs gemini-3.8-flash vs gpt-6-astra vs glm-5.3-flash
AttributeVeo 3veo3Gemini 3.8 Flashgemini-3.8-flashGPT-6 Astragpt-6-astraGLM 5.3 Flashglm-5.3-flash
Pricing
Request$1.26 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.75 / 1M$10.00 / 1M$0.075 / 1M
Cache Write (1h)Not applicable$0.75 / 1M$10.00 / 1M$0.075 / 1M
Cache ReadNot applicable$0.75 / 1M$10.00 / 1M$0.075 / 1M
Input$0.75 / 1M$10.00 / 1M$0.075 / 1M
Output$3.75 / 1M$50.00 / 1M$0.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleGoogleOpenAIZ.AI
Categoryvideochatchatchat
Charge typePay Per RequestPay 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.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.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.