Meta: Muse WonderMeta
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
Context 1M
NewSpecs
Model ID
meta/muse-spark-openContext window1M tokens
Inputs → outputsText, Image, Video, File, Audio → Text
Open weightsYes
How to use Meta: Muse Spark Open in your app
The quickest way is through an API gateway such as OpenRouter, which uses the same format as the OpenAI API. Create a key, then send a request with the model ID meta/muse-spark-open:
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta/muse-spark-open",
"messages": [{"role": "user", "content": "Explain this in simple words..."}]
}'
Prefer no code? Many tools in our AI tools directory run on models like this one.
More models from Meta
Questions about Meta: Muse Spark Open
What is Meta: Muse Spark Open?
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...
How big is the context window of Meta: Muse Spark Open?
Meta: Muse Spark Open can read up to 1,048,576 tokens in one request, roughly 786,432 words.
Is Meta: Muse Spark Open open source?
Meta: Muse Spark Open has open weights, so you can download and run it yourself, subject to its licence.
What can Meta: Muse Spark Open take as input?
Meta: Muse Spark Open accepts text, image, video, file, audio and produces text.
Latest AI models
MiniMax: MiniMax M3.1 Flash (free)Minimax
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
Context 1M
NewDeepSeek: DeepSeek V4.1 Flash 1017Deepseek
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
Context 1M
NewOpen weightsElorian: GlimpseElorian
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
Context 262K
NewXingChen: Xing4.0 29B A4B (free)Xingchen Agi
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
Context 262K
NewOpen weightsReflection: Beam 1.0 501B A23BReflection
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
Context 1M
NewOpen weightsInception: Mercury 3Inception
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
Context 1M
NewSpecs and prices come from OpenRouter and the provider, and are refreshed daily. Last checked 15 Oct 2026.