Muse Spark 1.1

Meta audiochatreasoningtool_usevideovision Long

API ID: meta/muse-spark-1.1-20260709

Input Price
$1.25
/1M tokens
Output Price
$4.25
/1M tokens
Cached Input
$0.15
Save 88%

About Muse Spark 1.1

Muse Spark 1.1 is a mid-range general-purpose model from Meta with ultra-long context (1.0M), suitable for conversations, content creation, and general AI tasks.

๐Ÿ’ฐ
Price Ranking
#32 lowest price among 47 Audio models

Model Specifications

Context Length
1.0M
Max Output
โ€”
Release Date
2026-07-16
Capabilities
audio chat reasoning tool_use video vision
Input Modalities
textimagevideofileaudio
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$1.84
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$57.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$79.13
/month
500 analyses/day, ~2k tokens each

Meta Model Lineup

Compare all models from Meta to find the best fit

Model Input Output Context Capabilities
Muse Spark 1.1 Current Free Free 1.0M audio chat reasoning tool_use video vision
Llama 3 70B (Base) Free Free 8k chat
Llama 3 70B (Base) Free Free 8k chat
LlamaGuard 2 8B Free Free 8k chat
Llama 3 8B (Base) Free Free 8k chat
Llama 3 8B (Base) Free Free 8k chat

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Google Gemini 2.5 Pro (batch)
Input: $0.63
Output: $5.00
Context: 1.0M
Google Gemini 3.5 Flash (batch)
Input: $0.75
Output: $4.50
Context: 1.0M
Thinkingmachines Inkling
Input: $1.00
Output: $4.05
Context: 1.0M
Google Gemini 3.6 Flash (batch)
Input: $0.75
Output: $3.75
Context: 1.0M

๐Ÿš€ Quick Start

Get started with Muse Spark 1.1 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="meta/muse-spark-1.1-20260709",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)