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Meta Proprietary Released Aug 5, 2026 Updated

Muse Spark 1.2

ToolsGuide Scores, rankings, test results and price.

Model summary

  • Text #19 / 416

    579 / 1,000

    ToolsGuide Score· votes only

  • Vision #18 / 167

    573 / 1,000

    ToolsGuide Score· votes only

  • Coding #53 / 147

    384 / 1,000

    ToolsGuide Score· votes 387, tests 380

  • Agents #42 / 53

    418 / 1,000

    ToolsGuide Score· votes only

  • Price per 1M tokens

    In $0.10· Out $0.20

    $0.10

    Input · median text model $0.43

Summary

Muse Spark 1.2 is Meta's model, released Aug 5, 2026. It's ranked in 4 categories and does best at text: #19 of 416, with a ToolsGuide Score of 579 against a median of 235.

It also ranks #18 of 167 for vision (573), #53 of 147 for coding (384), #42 of 53 for agents (418).

Its text and vision and agents score uses votes only, because it has published fewer than two of the tests used for those categories.

It costs $0.10 per million input tokens and $0.20 per million output tokens, below the median text model ($0.43).

It has published results on 3 tests and has the top score on 1 of them, including Meta Internal Coding Bench.

Specifications

Creator
Meta
Licence
Proprietary
Released
Aug 5, 2026
Context window
1M tokens
Input price
$0.10 / 1M
Output price
$0.20 / 1M
Tests reported
3
Settings ranked
Muse Spark 1.2 (xHigh)

Model comparison

Against the ten best text models.

Text score

ToolsGuide Score out of 1,000 · Higher is better

Vision score

ToolsGuide Score out of 1,000 · Higher is better

Input price

USD per 1M input tokens · Lower is better

Leaderboards

Where Muse Spark 1.2 sits among the top 20 in each category.

Text

#19 of 416 · ToolsGuide Score out of 1,000, where 1,000 is a flawless model

Full text leaderboard →

Vision

#18 of 167 · ToolsGuide Score out of 1,000, where 1,000 is a flawless model

Full vision leaderboard →

Coding

#53 of 147 · ToolsGuide Score out of 1,000, where 1,000 is a flawless model

Full coding leaderboard →

Agents

#42 of 53 · ToolsGuide Score out of 1,000, where 1,000 is a flawless model

Full agents leaderboard →

By task

Scored from votes on each kind of prompt alone, on the same 1,000-point scale.

Score against price

Text · the 10 priced models ranked closest · up and to the left is better value

Against its nearest rivals

Text prompts by kind · ToolsGuide Score from votes · hover for values

Text

Muse Spark 1.2 (xHigh) · hover a bar for its rank

Vision

Muse Spark 1.2 (xHigh) · hover a bar for its rank

Coding

Muse Spark 1.2 (xHigh) · hover a bar for its rank

Test results

Every test Muse Spark 1.2 has a published result on, out of 100%, with its rank among the models that took it.

  • DeepSWE 1.1

    #34 / 50

    DeepSWE 1.1 evaluates software engineering agents using the mini-swe-agent harness.

    59.3%

    Self-reported · In the coding score

  • Terminal-Bench 2.1

    #19 / 46

    Terminal-Bench 2.1 is an updated release of the Terminal-Bench benchmark that tests AI agents' ability to operate a computer via the terminal. It evaluates how well models handle real-world, end-to-end tasks autonomously, including compiling code, training models, setting up servers, system administration, data science workflows, and security tasks.

    82.9%

    Self-reported

  • Meta Internal Coding Bench

    #1 / 1

    Meta's internal evaluation of coding-agent performance.

    70.6%

    Unverified