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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 32BAlibabaRemove
  2. Claude Fable 5.1AnthropicRemove
  3. Muse Spark 1.3MetaRemove
  4. Qwen3.8 27BAlibabaRemove

4 is the maximum. Remove one to add another.

qwen3-32b vs claude-fable-5.1 vs muse-spark-1.3 vs qwen3.8-27b
AttributeQwen3 32Bqwen3-32bClaude Fable 5.1claude-fable-5.1Muse Spark 1.3muse-spark-1.3Qwen3.8 27Bqwen3.8-27b
Pricing
Input$0.10 / 1M$10.00 / 1M$1.25 / 1M$0.45 / 1M
Output$0.30 / 1M$50.00 / 1M$4.25 / 1M$3.20 / 1M
Cache Write (5m)$0.10 / 1M$12.50 / 1M$1.25 / 1M$0.45 / 1M
Cache Write (1h)$0.10 / 1M$20.00 / 1M$1.25 / 1M$0.45 / 1M
Cache Read$0.10 / 1M$1.00 / 1M$1.25 / 1M$0.45 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context41.0K1M1M262K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderAlibabaAnthropicMetaAlibaba
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.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.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.