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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. GPT-6 AstraOpenAIRemove
  3. GLM 5.3 FlashZ.AIRemove
  4. Veo 3GoogleRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs gpt-6-astra vs glm-5.3-flash vs veo3
AttributeGemini 3.8 Flashgemini-3.8-flashGPT-6 Astragpt-6-astraGLM 5.3 Flashglm-5.3-flashVeo 3veo3
Pricing
Input$0.75 / 1M$10.00 / 1M$0.075 / 1M
Output$3.75 / 1M$50.00 / 1M$0.25 / 1M
Cache Write (5m)$0.75 / 1M$10.00 / 1M$0.075 / 1MNot applicable
Cache Write (1h)$0.75 / 1M$10.00 / 1M$0.075 / 1MNot applicable
Cache Read$0.75 / 1M$10.00 / 1M$0.075 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$1.26 / request
BillingPay Per Request
Context
Max context1M1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderGoogleOpenAIZ.AIGoogle
Categorychatchatchatvideo
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.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.