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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. DeepSeek R1 SearchingDeepSeekRemove
  3. Qwen3.8 27BAlibabaRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs deepseek-r1-searching vs qwen3.8-27b vs muse-spark-1.3
AttributeGPT-6 Astragpt-6-astraDeepSeek R1 Searchingdeepseek-r1-searchingQwen3.8 27Bqwen3.8-27bMuse Spark 1.3muse-spark-1.3
Pricing
Input$10.00 / 1M$5.60 / 1M$0.45 / 1M$1.25 / 1M
Output$50.00 / 1M$22.40 / 1M$3.20 / 1M$4.25 / 1M
Cache Write (5m)$10.00 / 1M$5.60 / 1M$0.45 / 1M$1.25 / 1M
Cache Write (1h)$10.00 / 1M$5.60 / 1M$0.45 / 1M$1.25 / 1M
Cache Read$10.00 / 1M$5.60 / 1M$0.45 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M163.8K262K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIDeepSeekAlibabaMeta
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.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.