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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. Claude Sonnet 5.5AnthropicRemove
  2. Qwen3.8 27BAlibabaRemove
  3. Muse Spark 1.3MetaRemove
  4. Muse Spark OpenMetaRemove

4 is the maximum. Remove one to add another.

claude-sonnet-5.5 vs qwen3.8-27b vs muse-spark-1.3 vs muse-spark-open
AttributeClaude Sonnet 5.5claude-sonnet-5.5Qwen3.8 27Bqwen3.8-27bMuse Spark 1.3muse-spark-1.3Muse Spark Openmuse-spark-open
Pricing
Input$2.00 / 1M$0.45 / 1M$1.25 / 1M$1.25 / 1M
Output$10.00 / 1M$3.20 / 1M$4.25 / 1M$4.25 / 1M
Cache Write (5m)$2.50 / 1M$0.45 / 1M$1.25 / 1M$1.25 / 1M
Cache Write (1h)$4.00 / 1M$0.45 / 1M$1.25 / 1M$1.25 / 1M
Cache Read$0.10 / 1M$0.45 / 1M$1.25 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderAnthropicAlibabaMetaMeta
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released————
Description
SummaryClaude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.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.Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.