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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.

Muse WonderMeta Remove
Nemotron 3.5 LightningNVIDIA Remove
Universal-3.5 ProAssemblyAI Remove

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DeepSeek V4.1 Flash 1017
Nemotron 3.5 Super VL (Free)
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Muse Spark Open
Gemini 4 Argon
Gemini 3.1 Flash Lite Image (Google Vertex AI)
Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access
Gemini 3.1 Flash Image (Google Vertex AI)Enterprise & partner access

muse-wonder vs nemotron-3.5-lightning vs universal-3-5-pro
Attribute	Muse Wondermuse-wonder	Nemotron 3.5 Lightningnemotron-3.5-lightning	Universal-3.5 Prouniversal-3-5-pro
Pricing
Input	$4.00 / 1M	— Not priced per input token	— Not priced per input token
Output	$20.00 / 1M	— Not priced per output token	— Not priced per output token
Cache Write (5m)	$4.00 / 1M	$0.00 / 1M	Not applicable
Cache Write (1h)	$4.00 / 1M	$0.00 / 1M	Not applicable
Cache Read	$4.00 / 1M	$0.00 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	N/A
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	Yes	Yes	No
JSON Mode	Yes	Yes	No
Streaming	Yes	Yes	No
Catalogue
Provider	Meta	NVIDIA	AssemblyAI
Category	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-22
Description
Summary	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 Lightning is an open Mixture-of-Experts (MoE) model with 30B total parameters and 3B active per token, optimized for high-throughput agentic workloads and efficient inference. Its lightweight active compute and open design make it well suited for specialized agents, domain-specific customization, and scalable production deployments where speed, cost efficiency, and adaptability are key.	AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.