AI model comparison

Muse Spark 1.2 vs Muse Spark 1.1

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

Input / 1M
$1.25
Output / 1M
$4.25
Context
1.05M

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.

Input / 1M
$1.25
Output / 1M
$4.25
Context
1.05M

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

Tie

Same price for a typical chat

Higher intelligence score

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Muse Spark 1.2

39.6 vs 33.7 on Artificial Analysis

Larger context window

Tie

1.05M vs 1.05M tokens

Newer release

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Muse Spark 1.2

Released August 5, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

meta logoMuse Spark 1.239.6
meta logoMuse Spark 1.133.7

Coding index

meta logoMuse Spark 1.272.2
meta logoMuse Spark 1.171.3

Agentic index

meta logoMuse Spark 1.243.2
meta logoMuse Spark 1.125.8

Pricing

Muse Spark 1.2 vs Muse Spark 1.1 API pricing

Per-token API rates. Cheaper option highlighted.

Metricmeta logoMuse Spark 1.2meta logoMuse Spark 1.1
Input tokensPer 1M tokens$1.25$1.25
Output tokensPer 1M tokens$4.25$4.25
Cached input (read)Per 1M tokens$0.15$0.15
Cache writePer 1M tokensNot availableNot available
Web searchPer request$0.0025$0.0025

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

meta logoMuse Spark 1.2$4.63
meta logoMuse Spark 1.1$4.63

Coding task

30K in, 4K out

meta logoMuse Spark 1.2$54.50$21.50 cached
meta logoMuse Spark 1.1$54.50$21.50 cached

Long document summary

150K in, 2K out

meta logoMuse Spark 1.2$196$31 cached
meta logoMuse Spark 1.1$196$31 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricmeta logoMuse Spark 1.2meta logoMuse Spark 1.1
Context window1.05M tokens1.05M tokens
Max output944K tokens944K tokens
Input typesFile, Image, Text, VideoFile, Image, Text, Video
Output typesTextText
Reasoning effort levelsExtra high, High, Medium, Low, MinimalExtra high, High, Medium, Low, Minimal
Default reasoning effortMediumMedium
Release dateAugust 5, 2026July 16, 2026

Features

Supported features

API features available for each model.

Metricmeta logoMuse Spark 1.2meta logoMuse Spark 1.1
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesNot supportedNot supported
Deterministic seedNot supportedNot supported
Verbosity controlNot supportedNot supported

Our take

Muse Spark 1.2 scores higher on the Artificial Analysis Intelligence Index (39.6 vs 33.7). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Muse Spark 1.2 or Muse Spark 1.1 cheaper?

Muse Spark 1.2 and Muse Spark 1.1 cost the same for a typical chat (2K input tokens and 500 output tokens). Muse Spark 1.2 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens, and Muse Spark 1.1 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens.

Which has a bigger context window, Muse Spark 1.2 or Muse Spark 1.1?

Muse Spark 1.2 supports up to 1.05M tokens of context, compared with 1.05M for Muse Spark 1.1.

Is Muse Spark 1.2 smarter than Muse Spark 1.1?

On the Artificial Analysis Intelligence Index, Muse Spark 1.2 scores 39.6 and Muse Spark 1.1 scores 33.7, putting Muse Spark 1.2 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use Muse Spark 1.2 and Muse Spark 1.1 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Spark 1.2 and Muse Spark 1.1 answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to Muse Spark 1.2 and Muse Spark 1.1 at the same time. Compare the answers side by side and keep the best one.