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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. GPT-6 AstraOpenAIRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Qwen3.8 27BAlibabaRemove

4 is the maximum. Remove one to add another.

veo3 vs gpt-6-astra vs gemini-3.8-flash vs qwen3.8-27b
AttributeVeo 3veo3GPT-6 Astragpt-6-astraGemini 3.8 Flashgemini-3.8-flashQwen3.8 27Bqwen3.8-27b
Pricing
Request$1.26 / request
BillingPay Per Request
Cache Write (5m)Not applicable$10.00 / 1M$0.75 / 1M$0.45 / 1M
Cache Write (1h)Not applicable$10.00 / 1M$0.75 / 1M$0.45 / 1M
Cache ReadNot applicable$10.00 / 1M$0.75 / 1M$0.45 / 1M
Input$10.00 / 1M$0.75 / 1M$0.45 / 1M
Output$50.00 / 1M$3.75 / 1M$3.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M262K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleOpenAIGoogleAlibaba
Categoryvideochatchatchat
Charge typePay Per RequestPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.Gemini 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.Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.