Skip to content

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. Qwen3 32BAlibabaRemove
  2. GPT-6 AstraOpenAIRemove
  3. GPT-6 Astra ProOpenAIRemove
  4. Qwen3.8 27BAlibabaRemove

4 is the maximum. Remove one to add another.

qwen3-32b vs gpt-6-astra vs gpt-6-astra-pro vs qwen3.8-27b
AttributeQwen3 32Bqwen3-32bGPT-6 Astragpt-6-astraGPT-6 Astra Progpt-6-astra-proQwen3.8 27Bqwen3.8-27b
Pricing
Input$0.10 / 1M$10.00 / 1M$10.00 / 1M$0.45 / 1M
Output$0.30 / 1M$50.00 / 1M$50.00 / 1M$3.20 / 1M
Cache Write (5m)$0.10 / 1M$10.00 / 1M$10.00 / 1M$0.45 / 1M
Cache Write (1h)$0.10 / 1M$10.00 / 1M$10.00 / 1M$0.45 / 1M
Cache Read$0.10 / 1M$10.00 / 1M$10.00 / 1M$0.45 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context41.0K1M1M262K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderAlibabaOpenAIOpenAIAlibaba
Categorychatchatchatchat
Charge typePay As You GoPay 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.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.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.