AIHubMixAIHubMix
Models
Muse Spark 1.3
Compare
Meta logo

Muse Spark 1.3

muse-spark-1.3llms.txt
Meta
Muse Spark 1.3 is Meta’s multimodal reasoning model, designed for long-running agentic, multi-agent, and complex coding workflows. It can maintain context and task constraints across extended workflows, reconcile conflicting information, and request clarification or confirmation when needed. Compared with Muse Spark 1.2, Muse Spark 1.3 improves efficiency across long-horizon agentic and coding tasks, with fewer unnecessary turns, tool calls, and tokens, while producing more concise outputs.

Pricing

  • Input Tokens: $1.375 /M tokens
  • Output Tokens: $4.675 /M tokens
  • Cache Read: $0.165 /M tokens

Input Modalities

  • Text
  • Vision
  • Audio
  • Video

Output Modalities

  • Text

Capabilities

  • Thinking
  • Tools

Providers

Meta meta-muse-spark-1.3
Pricing$1.375$4.675
Cache$0.165
Context1M
Max output1M
Latency2.6S
Throughput82.3TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
100.00% uptime today

Performance for muse-spark-1.3

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
Loading...
Latency
Loading...
Throughput
Loading...

Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="muse-spark-1.3",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Muse Spark 1.3?

Muse Spark 1.3 is Meta’s multimodal reasoning model, designed for long-running agentic, multi-agent, and complex coding workflows. It can maintain context and task constraints across extended workflows, reconcile conflicting information, and request clarification or confirmation when needed. Compared with Muse Spark 1.2, Muse Spark 1.3 improves efficiency across long-horizon agentic and coding tasks, with fewer unnecessary turns, tool calls, and tokens, while producing more concise outputs.
AIHubMix

© 2023 - 2026 AIHubMix, LLC

Product

Company

Developer

Connect