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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. Qwen3.8 27BAlibabaRemove
  2. Qwen VL PlusAlibabaRemove
  3. GPT-6 AstraOpenAIRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

qwen3.8-27b vs qwen-vl-plus vs gpt-6-astra vs muse-spark-1.3
AttributeQwen3.8 27Bqwen3.8-27bQwen VL Plusqwen-vl-plusGPT-6 Astragpt-6-astraMuse Spark 1.3muse-spark-1.3
Pricing
Input$0.45 / 1M$0.21 / 1M$10.00 / 1M$1.25 / 1M
Output$3.20 / 1M$0.63 / 1M$50.00 / 1M$4.25 / 1M
Cache Write (5m)$0.45 / 1M$0.21 / 1M$10.00 / 1M$1.25 / 1M
Cache Write (1h)$0.45 / 1M$0.21 / 1M$10.00 / 1M$1.25 / 1M
Cache Read$0.45 / 1M$0.21 / 1M$10.00 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K7.5K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderAlibabaAlibabaOpenAIMeta
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.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.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.