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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. Pixtral Large 2411Mistral AIRemove
  2. Claude Fable 5.1AnthropicRemove
  3. GPT-6 AstraOpenAIRemove
  4. Qwen3.8 27BAlibabaRemove

4 is the maximum. Remove one to add another.

pixtral-large-2411 vs claude-fable-5.1 vs gpt-6-astra vs qwen3.8-27b
AttributePixtral Large 2411pixtral-large-2411Claude Fable 5.1claude-fable-5.1GPT-6 Astragpt-6-astraQwen3.8 27Bqwen3.8-27b
Pricing
Input$2.00 / 1M$10.00 / 1M$10.00 / 1M$0.45 / 1M
Output$6.00 / 1M$50.00 / 1M$50.00 / 1M$3.20 / 1M
Cache Write (5m)$2.00 / 1M$12.50 / 1M$10.00 / 1M$0.45 / 1M
Cache Write (1h)$2.00 / 1M$20.00 / 1M$10.00 / 1M$0.45 / 1M
Cache Read$2.00 / 1M$1.00 / 1M$10.00 / 1M$0.45 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context131.1K1M1M262K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderMistral AIAnthropicOpenAIAlibaba
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryClaude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.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.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.