Enterprise DNAEnterprise DNA
LModelsBest vision
Meta logo

Muse Spark 1.2

by Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token con

MS

Models

Muse Spark 1.2

Added 3 Sept 2026

#meta

Overview

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...

How to use / API access

Call via OpenRouter with model id `meta/muse-spark-1.2`.

  • openrouter · meta/muse-spark-1.2 Docs

OpenRouter id: meta/muse-spark-1.2

Benchmarks

  • Intelligence Index (artificial-analysis): 39.6 index
  • Coding Index (artificial-analysis): 72.2 index
  • Agentic Index (artificial-analysis): 43.2 index
  • Design Arena agenticgamedev (other): 1179 elo · #15
  • Design Arena androidnative (other): 1235 elo · #10
  • Design Arena fullstack (other): 1210 elo · #15
  • Design Arena htmlslides (other): 1135 elo · #20

Notes

Muse Spark 1.2 is listed in the EDNA Models directory from the OpenRouter catalogue.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

USAGE / OPENROUTER

How much Muse Spark 1.2 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
8.3B ▼15.1%
Requests, last 7 days
399K
Tool calls, last 7 days
26.9K
Intelligence score
39.6
People's vote
1482
Average cost per request
$2.14
Price per million tokens
$1.25 in · $4.25 out
02.5B5B19 Sept: 1.2B tokens, 63.4K requests20 Sept: 834M tokens, 39.1K requests21 Sept: 1.3B tokens, 71.4K requests22 Sept: 2.2B tokens, 72K requests23 Sept: 1.4B tokens, 50.9K requests24 Sept: 4.3B tokens, 305K requests25 Sept: 2B tokens, 81.2K requests26 Sept: 708M tokens, 34.1K requests27 Sept: 519M tokens, 21.2K requests28 Sept: 1.5B tokens, 60.1K requests29 Sept: 2.9B tokens, 87.5K requests30 Sept: 1.5B tokens, 56K requests1 Oct: 1.9B tokens, 85K requests2 Oct: 1B tokens, 68.2K requests3 Oct: 796M tokens, 61.3K requests4 Oct: 786M tokens, 64.1K requests5 Oct: 2.9B tokens, 106K requests6 Oct: 1.9B tokens, 118K requests7 Oct: 1.4B tokens, 102K requests8 Oct: 1.3B tokens, 92.1K requests9 Oct: 886M tokens, 69.3K requests10 Oct: 724M tokens, 49.6K requests11 Oct: 579M tokens, 40.2K requests12 Oct: 882M tokens, 56.7K requests13 Oct: 4.2B tokens, 118K requests14 Oct: 1.2B tokens, 83.3K requests15 Oct: 2.6B tokens, 84.4K requests16 Oct: 1.1B tokens, 68.9K requests17 Oct: 581M tokens, 37.9K requests18 Oct: 468M tokens, 38.4K requests19 Oct: 671M tokens, 47.2K requests20 Oct: 1.6B tokens, 58.8K requests21 Oct: 1.3B tokens, 63.9K requests19 Sept3 Oct17 Oct21 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 39.6 (2026-10-18) ↗Coding Index: 72.2 (2026-10-18) ↗Agentic Index: 43.2 (2026-10-18) ↗
Compare this model with alternatives →