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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. DeepSeek V4.1 FlashDeepSeekRemove
  2. mai-ds-r1:freeNot in the catalogueRemove
  3. Muse WonderMetaRemove
  4. Claude Sonnet 5.5AnthropicRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash vs mai-ds-r1:free vs muse-wonder vs claude-sonnet-5.5
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashmai-ds-r1:freeNot in the catalogueMuse Wondermuse-wonderClaude Sonnet 5.5claude-sonnet-5.5
Pricing
Input$0.30 / 1M—$4.00 / 1M$2.00 / 1M
Output$1.20 / 1M—$20.00 / 1M$10.00 / 1M
Cache Write (5m)$0.30 / 1M—$4.00 / 1M$2.50 / 1M
Cache Write (1h)$0.30 / 1M—$4.00 / 1M$4.00 / 1M
Cache Read$0.30 / 1M—$4.00 / 1M$0.10 / 1M
Web Search$0 / 1M—$0 / 1M$0 / 1M
Context
Max context1M—1M1M
Max outputN/A—N/AN/A
Capabilities
VisionYes—YesYes
Function CallingYes—YesYes
JSON ModeYes—YesYes
StreamingYes—YesYes
Catalogue
ProviderDeepSeek—MetaAnthropic
Categorychat—chatchat
Charge typePay As You Go—Pay As You GoPay As You Go
Released————
Description
SummaryDeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.—Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision.Claude 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.