SWE-PI

Muse Spark 1.3 0% Only in system cards

A coding agent does a bug-fix task in a repository seeded with an injected payload that tries to exfiltrate a secret. Reports attack success rate.

In-house Meta benchmark. 142 scenarios from 50 SWE-bench instances.

Made by Meta Secure code and review Tasks kept private Last in a system card Oct 2026 Last model added Oct 2026

Level: Expert Specialists with years of training, often over hours of work
Scored: Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers: Agent task Many steps in a terminal, browser, desktop, app, game or robot.

Model scored in lab cards

System cards report it, from 1 lab

Muse Spark 1.3 leads with 0%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

Bars Table

1 Muse Spark 1.3 0%

#	Model	Score	Setting	Date	Source
1	Muse Spark 1.3	0%		Oct 2026	Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card

Labs report it only in system cards

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.

2 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

Date	Document	Score	As the document writes it	Section
23 Oct 2026	Muse Spark 1.3 system card	0	SWE-PI pass@1 ASR (secret exfiltration via prompt injection), Muse Spark 1.3 (API) (Figure 26)	Robustness
9 Jul 2026	Muse Spark 1.1 system card		SWE-PI Synthetic and SWE-PI Agent subsets, no overall (Figure 29, 30). Synthetic pass@1 ASR 0.0	Robustness

Muse Spark 1.3 leads with 0%

Scores over time

Labs report it only in system cards

2 system cards report it, from 1 lab

More in Cybersecurity