Skip to content

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. Muse Spark OpenMetaRemove
  2. Muse WonderMetaRemove
  3. MiniMax M1 (Extended)MiniMaxRemove
  4. Nemotron 3.5 Super VLNVIDIARemove

4 is the maximum. Remove one to add another.

muse-spark-open vs muse-wonder vs minimax-m1:extended vs nemotron-3.5-super-vl
AttributeMuse Spark Openmuse-spark-openMuse Wondermuse-wonderMiniMax M1 (Extended)minimax-m1:extendedNemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input$1.25 / 1M$4.00 / 1M$0.55 / 1M$0.10 / 1M
Output$4.25 / 1M$20.00 / 1M$2.20 / 1M$0.40 / 1M
Cache Write (5m)$1.25 / 1M$4.00 / 1M$0.55 / 1M$0.10 / 1M
Cache Write (1h)$1.25 / 1M$4.00 / 1M$0.55 / 1M$0.10 / 1M
Cache Read$1.25 / 1M$4.00 / 1M$0.55 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M128K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderMetaMetaMiniMaxNVIDIA
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released————
Description
SummaryMuse 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.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.—NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.