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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. GPT-6 AstraOpenAIRemove
  2. Qwen3.8 27BAlibabaRemove
  3. GLM 5.3 FlashZ.AIRemove
  4. Qwen MaxAlibabaRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs qwen3.8-27b vs glm-5.3-flash vs qwen-max
AttributeGPT-6 Astragpt-6-astraQwen3.8 27Bqwen3.8-27bGLM 5.3 Flashglm-5.3-flashQwen Maxqwen-max
Pricing
Input$10.00 / 1M$0.45 / 1M$0.075 / 1M$1.60 / 1M
Output$50.00 / 1M$3.20 / 1M$0.25 / 1M$6.40 / 1M
Cache Write (5m)$10.00 / 1M$0.45 / 1M$0.075 / 1M$1.60 / 1M
Cache Write (1h)$10.00 / 1M$0.45 / 1M$0.075 / 1M$1.60 / 1M
Cache Read$10.00 / 1M$0.45 / 1M$0.075 / 1M$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262K1M32.8K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIAlibabaZ.AIAlibaba
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.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.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.