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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
Gemini 3.1 Flash Lite Image (Google Vertex AI)Google Remove
Qwen3 Max ThinkingAlibaba Remove

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GPT-6.1 Terra
Kimi K3.1 Pro
DeepSeek V4.1 Flash 1017
Nemotron 3.5 Super VL (Free)
Nemotron 3.5 Super VL
Muse Spark Open
Gemini 4 Argon
Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access

muse-wonder vs gemini-3.1-flash-lite-image-vertex vs qwen3-max-thinking
Attribute	Muse Wondermuse-wonder	Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex	Qwen3 Max Thinkingqwen3-max-thinking
Pricing
Input	$4.00 / 1M	—	$1.20 / 1M
Output	$20.00 / 1M	—	$6.00 / 1M
Cache Write (5m)	$4.00 / 1M	Not applicable	$1.20 / 1M
Cache Write (1h)	$4.00 / 1M	Not applicable	$1.20 / 1M
Cache Read	$4.00 / 1M	Not applicable	$1.20 / 1M
Web Search	$0 / 1M	—	$0 / 1M
Request	—	$0.0336 / request	—
Billing	—	Pay Per Request	—
Context
Max context	1M	N/A	262.1K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	Yes
Function Calling	Yes	No	Yes
JSON Mode	Yes	No	Yes
Streaming	Yes	No	Yes
Catalogue
Provider	Meta	Google	Alibaba
Category	chat	image	chat
Charge type	Pay As You Go	Pay Per Request	Pay As You Go
Released	—	—	—
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.	Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.	Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it achieves substantial improvements in factual accuracy, complex reasoning, instruction following, alignment with human preferences, and agentic behavior. Optimized for advanced problem solving and long-horizon tasks, Qwen3-Max-Thinking is well suited for research, complex analysis, and agentic applications where reliability and structured reasoning are critical.