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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. DeepSeek V4.1 FlashDeepSeekRemove
  3. GPT-6 AstraOpenAIRemove
  4. Qwen VL PlusAlibabaRemove

4 is the maximum. Remove one to add another.

qwen3.8-27b vs deepseek-v4.1-flash vs gpt-6-astra vs qwen-vl-plus
AttributeQwen3.8 27Bqwen3.8-27bDeepSeek V4.1 Flashdeepseek-v4.1-flashGPT-6 Astragpt-6-astraQwen VL Plusqwen-vl-plus
Pricing
Input$0.45 / 1M$0.30 / 1M$10.00 / 1M$0.21 / 1M
Output$3.20 / 1M$1.20 / 1M$50.00 / 1M$0.63 / 1M
Cache Write (5m)$0.45 / 1M$0.30 / 1M$10.00 / 1M$0.21 / 1M
Cache Write (1h)$0.45 / 1M$0.30 / 1M$10.00 / 1M$0.21 / 1M
Cache Read$0.45 / 1M$0.30 / 1M$10.00 / 1M$0.21 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1M1M7.5K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderAlibabaDeepSeekOpenAIAlibaba
Categorychatchatchatchat
Charge typePay As You GoPay 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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.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.