Meta

Meta: Muse Spark 1.1

meta/muse-spark-1.1
Context

1M

Input

text, image, audio, video

Output

text

Tool calling

Supported

About this model

Muse Spark 1.1 is Meta's flagship proprietary multimodal frontier model developed by Meta Superintelligence Labs (MSL). Designed for complex reasoning and agentic tasks, it can actively manage a 1-million-token context window, orchestrate multi-agent systems, and natively process text, image, video, and audio inputs. It excels at long-horizon software development, tool use, and computer-use workflows.

Input modalities

text

Accepted as model input

image

Accepted as model input

audio

Accepted as model input

video

Accepted as model input

Providers

Available routing options for this model through OneInfer.

Available

Input tokens

$1.250 / 1M tokens

Output tokens

$4.250 / 1M tokens

Routing

OneInfer optimized

Pricing

Current OneInfer pricing for this model.

UsagePrice
Input tokens$1.250 / 1M tokens
Output tokens$4.250 / 1M tokens
Cached input tokens$0.150 / 1M tokens

Performance & Benchmarks

Independent evaluations and live cluster operational metrics

We haven’t measured this model yet. Published academic results are under Academic Evaluations.

API Guide

API docs
  1. 1

    Generate your access token

    Use your API key to generate the JWT access token required by the Models API.

  2. 2

    Add the JWT token

    Copy the generated JWT token and replace JWT_TOKEN in the example below.

  3. 3

    Check your credits

    If your balance is too low, before calling the model.

  4. 4

    Run the API example

    Choose your preferred language, copy the example, and send your first model request.

    curl https://staging-api.oneinfer.ai/v1/ula/chat/completions \
      -H "Authorization: Bearer $JWT_TOKEN" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "meta/muse-spark-1.1",
        "messages": [
          { "role": "user", "content": "Hello!" }
        ]
      }'

Community Model Reviews & Ratings

Verified visitor & developer evaluations on Meta: Muse Spark 1.1's real-world intelligence, code accuracy, and speed

4.8
Community consensus rating
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