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Muse Spark 1.3

meta/muse-spark-1.3

reasoningtool callingimage inputvideo inputfile inputprompt caching

Muse Spark 1.3 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens with a 1.0M-token context window.

A reasoning, tool-calling model from meta, released Sep 2, 2026. On LiveBench it scores 63.0 overall — #19 of 28 benchmarked models — and ranks highest in data analysis (#8).

Input / 1M
$1.25
Output / 1M
$4.25
Context
1.0M
LiveBench overall
63.0 · #19

Specs and pricing

Input price

USD per 1M prompt tokens

$1.25
Output price

USD per 1M completion tokens, reasoning included

$4.25
Blended price

3:1 input:output — #96 most expensive of 350 listed models

$2.00
Cached input read

Blank means not priced separately — not free

$0.150
Cache write—
Context window1,048,576 tokens
Max output943,718 tokens
Input modalitiestext, image, video, file
Tool callingYes
Extended reasoningYes
Knowledge cutoff—
ListedSep 2, 2026
All Meta (meta) API pricing

Benchmarks by category

LiveBench scores out of 100, with Muse Spark 1.3's rank among the 28 benchmarked models listed here. Run: muse-spark-1.3.

Overall#19 of 28
63.0

$0.0137 measured per point

25.5

$0.3488 measured per point

Coding#9 of 28
90.2

$0.0152 measured per point

Reasoning#12 of 28
89.7

$0.0015 measured per point

Browser#21 of 28
30.9

$0.0966 measured per point

79.6

$0.0021 measured per point

Research#21 of 28
68.6

$0.0393 measured per point

74.8

$0.0111 measured per point

What Muse Spark 1.3 costs to run

Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.

WorkloadPer month
Support chatbot

1.2K in / 400 out × 200K requests

$560.80/mo
RAG assistant

8K in / 600 out × 100K requests

$815.00/mo
Coding agent

40K in / 4K out × 20K requests

$724.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$1,514/mo
Bulk classification

500 in / 20 out × 5M requests

$3,000/mo
Price your own workload

Compare Muse Spark 1.3 with

The benchmarked models closest to it on overall score.

Cheaper and stronger alternatives to Muse Spark 1.3

Muse Spark 1.3 FAQ

How much does Muse Spark 1.3 cost?

Muse Spark 1.3 lists at $1.25 per 1M input tokens and $4.25 per 1M output tokens, with cached input reads at $0.150 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $815.00 at list price.

What is the context window of Muse Spark 1.3?

Muse Spark 1.3 accepts up to 1,048,576 tokens of context and can return up to 943,718 output tokens per response.

Does Muse Spark 1.3 support tool calling?

Yes — Muse Spark 1.3 supports tool (function) calling and exposes extended reasoning. It accepts text, image, video, file input.

How does Muse Spark 1.3 score on benchmarks?

On LiveBench release 2026-10-25 (run: muse-spark-1.3), Muse Spark 1.3 scores 63.0 overall, ranking #19 of 28 benchmarked models.

What is the API model ID for Muse Spark 1.3?

On OpenRouter the model ID is "meta/muse-spark-1.3". It was listed on Sep 2, 2026.

More from meta

How these numbers are produced

  • Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores and ranks — LiveBench release 2026-10-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.