Meta · Efficient

Muse Spark 1.3 Contributor

Added Sep 2, 2026

Meta's Muse Spark 1.3 Contributor is a frontier multimodal reasoning model for long-horizon coding and agentic workflows, with strong gains in computer use, browsing, professional tool use, codebase understanding, and million-token retrieval. It accepts text, images, audio, video, and files, supports tool calling and structured output, and always reasons before answering. Prompts and outputs may be used by Meta for training and to improve its products.

Reasoning
Tools
Vision
Structured output
PDF input
Audio input
Video input

Input: Text, Images, Video, Audio
Output: Text
Reasoning effort: minimal · low · medium · high · xhigh
Discovery tier: Efficient

Pricing

USD per 1M tokens

Input: $0.10
Output: $0.20
Cache read: $0.002

Reference prices as published by the model provider. API example

Specifications

Context window: 1M
Max output: —
Average output (7 days): 1.2K tokens; Longer than 77% of 473 models

Side by side

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Put Muse Spark 1.3 Contributor next to up to three other models. The comparison stays in the link, so you can share it.

TryMercury 3 Claude Haiku 5.5 GPT 6 Luna All 3

Public evaluations

Benchmarks

There are no public benchmark results for Muse Spark 1.3 Contributor yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput: 221.3 tok/s; Faster than 87% of 257 models
Time to first token: 3.9 s; Quicker than 40% of 257 models
Prompt cache hits: 64.5%; About $0.0368 per 1M input tokens with caching
Request success (24h): 99.4%; Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 89.4%

Healthy (98% or more)
Degraded (90–98%)
Down (under 90%)
No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta/muse-spark-1.3-contributor",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="meta/muse-spark-1.3-contributor",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)