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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. MiniMax M2.5 (Lightning)MiniMaxRemove
  2. Muse WonderMetaRemove
minimax-m2.5-lightning vs muse-wonder
AttributeMiniMax M2.5 (Lightning)minimax-m2.5-lightningMuse Wondermuse-wonder
Pricing
Input$0.30 / 1M$4.00 / 1M
Output$2.20 / 1M$20.00 / 1M
Cache Write (5m)$0.30 / 1M$4.00 / 1M
Cache Write (1h)$0.30 / 1M$4.00 / 1M
Cache Read$0.30 / 1M$4.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context128K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMiniMaxMeta
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryMiniMax-M2.5-Lightning is the high-speed variant of the M2.5 series, optimized for low latency, real-time responsiveness, and high-frequency workloads. It retains the core planning and execution strengths of M2.5 while further improving inference efficiency and response speed, making it ideal for interactive applications, rapid coding assistance, and workflow automation. With enhanced cost efficiency and reduced latency, M2.5-Lightning is particularly well suited for high-throughput, always-on deployments and production environments where speed and scalability are critical.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.