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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Qwen3.8 27BAlibabaRemove
  2. GPT-6 AstraOpenAIRemove
  3. ERNIE Speed 128KBaiduRemove
qwen3.8-27b vs gpt-6-astra vs ERNIE-Speed-128K
AttributeQwen3.8 27Bqwen3.8-27bGPT-6 Astragpt-6-astraERNIE Speed 128KERNIE-Speed-128K
Pricing
Input$0.45 / 1M$10.00 / 1M$1.46 / 1M
Output$3.20 / 1M$50.00 / 1M$2.92 / 1M
Cache Write (5m)$0.45 / 1M$10.00 / 1M$1.457 / 1M
Cache Write (1h)$0.45 / 1M$10.00 / 1M$1.457 / 1M
Cache Read$0.45 / 1M$10.00 / 1M$1.457 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1M131.1K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderAlibabaOpenAIBaidu
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryQwen3.8 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.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.