Muse Spark 1.3 API

Meta Muse Spark 1.3 is a multimodal reasoning model from Meta that is especially good at agentic and coding workflows, including longer-horizon work across multiple steps.

Modalities
Image, TextText
In / Out price
$1.32/$4.5per 1M
Context window
1.05M tokens
Released
Sep 2, 2026

Muse Spark 1.3 overview

The pelican test: one prompt, every text model, unedited SVG output from Nov 3, 2026.

SVG of a pelican riding a bicycle, written by Muse Spark 1.3 through AI/ML API

Muse Spark 1.3 by Meta

Muse Spark 1.3 takes text, image, and video input and returns text or tool calls through the Meta Model API.

Muse Spark 1.3 specs

Model ID
meta/muse-spark-1.3
Developer
Meta
Context window
1,048,576 tokens
Input
Image, Text
Output
Text
API
OpenAI-compatible, base URL https://api.aimlapi.com/v1

What Is Muse Spark 1.3 API?

Muse Spark 1.3 is a Meta model available today in Muse Code and in the Meta Model API.

Meta describes it as part of its latest rollout for coding and agentic workflows.

Technical Reference

DeveloperMeta
Model IDmeta/muse-spark-1.3
Release DateSeptember 2, 2026
Context Window1,048,576 tokens (~1.0M)
ModalitiesImage, Text → Text
Capabilitiesfile input, parallel tool calls, reasoning, streaming, structured (JSON schema) output, tool/function calling, vision, web search

What Muse Spark 1.3 Brings to the Table

Availability
Muse Spark 1.3 is rolling out in Muse Code and the Meta Model API.

Launch timing
Meta’s announcement for Muse Spark 1.3 was published on September 2, 2026.

Product positioning
The model is presented as Meta’s newest update in its Muse Spark line.

Reported focus
Coverage around the release says the update improves coding and agentic work performance.

Where Muse Spark 1.3 Makes the Most Sense

Coding workflows
Muse Spark 1.3 is available in Muse Code, indicating use in coding-focused workflows.

API-based integration
The model is also available through the Meta Model API for developer integration.

Sources: https://research.meta.ai/blog/introducing-muse-spark-1-3 · https://www.datacamp.com/blog/muse-spark-1-3 · https://codersera.com/blog/muse-spark-complete-guide-2026/

Use cases

Muse Spark 1.3 is documented as suited for agentic workflows, including multi-step tool use, browser-based tasks, and long-horizon work in a single thread. It is also positioned for software engineering and coding assistance, with improved coding performance and long-running coding tasks across repositories.

It is documented for use with chat completion, image understanding, video and audio understanding, tool calling, structured output, and search grounding. It is also described as useful for web research and automation, professional and computer-use agents, and long-context retrieval.

Capabilities

  • File input
  • Reasoning
  • Streaming
  • Structured outputs
  • Function calling
  • Vision
  • Web search

Muse Spark 1.3 benchmarks by Artificial Analysis

See how Muse Spark 1.3 compares in intelligence, generation speed, cost per task and latency. Data retrieved Nov 3, 2026.

Intelligence

Index v5.0

Speed

Output tokens / second

Cost per task

USD / benchmark task

Benchmark results

Compare 6 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

Muse Spark 1.3 API pricing

Muse Spark 1.3 pricing in US dollars
UsagePriceUnit
Input$1.321M tokens
Output$4.51M tokens
Cached input$0.15871M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Muse Spark 1.3 vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
ModelInputOutput
Muse Spark 1.3$1.32$4.5
Muse Glimmer 30B$0.3703$1.59
Muse Spark Open$1.32$4.5
Muse Spark 1.2$1.32$4.5
Muse Wonder$4.23$21.16

How to use the Muse Spark 1.3 API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "meta/muse-spark-1.3",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

Muse Spark 1.3 FAQ

What is the context window of Muse Spark 1.3?

Muse Spark 1.3 has a 1,048,576 tokens context window.

What inputs and outputs does Muse Spark 1.3 support?

Muse Spark 1.3 takes image, text as input and returns text.

What is the model ID for Muse Spark 1.3?

Use meta/muse-spark-1.3 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was Muse Spark 1.3 released?

Muse Spark 1.3 became available on September 2, 2026.

How much does Muse Spark 1.3 cost?

Muse Spark 1.3 costs $1.32 input and $4.5 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does Muse Spark 1.3 support streaming?

Yes, Muse Spark 1.3 can stream responses as they are generated.

Can Muse Spark 1.3 read images?

Yes, Muse Spark 1.3 accepts image input alongside text.

Who created Muse Spark 1.3?

Muse Spark 1.3 was built by Meta.

Can Muse Spark 1.3 call external tools or functions during a conversation?

Yes, it supports function calling along with parallel tool calls and structured outputs.

Start building with Muse Spark 1.3

Muse Spark 1.3 API

meta/muse-spark-1.3

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "meta/muse-spark-1.3",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'