Benchmark Almanac

Agent JSK

GPT-5.6 Sol 100% leads since June 2026
Only in system cards

Agents read simulated email connectors that contain prompt injection attacks. Scored on resisting the injected instructions.

In-house OpenAI evaluation drawn from a split of training data.

Made by
OpenAI
Released
December 2025
Kind
Jailbreaks and prompt injection
Level
Expert
Scored
Graded by a model
Answers
Agent task
Tasks
Kept private
Strongest model tested
GPT-5.6 Sol #13 on the capability index
Last in a system card
August 2026
Last model added
August 2026
7
Models scored in lab cards
11
System cards report it, from 1 lab

2 models share the top score of 100% among models released by July 2026

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.

The newest model with a score here came out in July 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 100.0 GPT-5.6 Sol
  2. 100.0 GPT-5.6 Terra
  3. 99.9 GPT-5.6 Luna
  4. 99.8 GPT-5.4
  5. 99.2 GPT-5.5 Instant
  6. 97.8 GPT-5.2
  7. 96.3 GPT-5.5
  1. 1 GPT-5.6 Sol 100%
  2. 2 GPT-5.6 Terra 100%
  3. 3 GPT-5.6 Luna 99.9%
  4. 4 GPT-5.4 99.8%
  5. 5 GPT-5.5 Instant 99.2%
  6. 6 GPT-5.2 97.8%
  7. 7 GPT-5.5 96.3%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 GPT-5.6 Sol 100% Jun 2026 Lab model card
2 GPT-5.6 Terra 100% Jun 2026 Lab model card
3 GPT-5.6 Luna 99.9% Jun 2026 Lab model card
4 GPT-5.4 99.8% Mar 2026 Lab model card
5 GPT-5.5 Instant 99.2% May 2026 Lab model card
6 GPT-5.2 97.8% Dec 2025 Lab model card
7 GPT-5.5 96.3% Apr 2026 Lab model card

3 models have held number one in labs’ own numbers since its release in December 2025

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI
Lab claims Passed 85% in Dec 2025, by GPT-5.2
GPT-5.6 Sol 100%

Source: Labs’ model cards

OpenAI’s own number for GPT-5.2 passed 85% in December 2025

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 Best so far
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) GPT-5.6 Sol GPT-5.4 GPT-5.2 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) GPT-5.6 Sol

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

11 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.

DateDocumentScoreAs the document writes itSection
Aug 6, 2026 GPT-5.6 Sol system card addendum 100 Prompt injection attacks in connectors (4.2 table) Robustness
Jul 9, 2026 GPT-5.6 Terra system card 100 Prompt injection, Connectors (4.2 table) Robustness
Jul 9, 2026 GPT-5.6 Sol system card 100 Prompt injection, Connectors (4.2 table) Robustness
Jul 9, 2026 GPT-5.6 Luna system card 99.9 Prompt injection, Connectors (4.2 table) Robustness
Jun 25, 2026 GPT-5.6 Terra system card 100 Prompt injection, Connectors (4.2 table) Robustness
Jun 25, 2026 GPT-5.6 Sol system card 100 Prompt injection, Connectors (4.2 table) Robustness
Jun 25, 2026 GPT-5.6 Luna system card 99.9 Prompt injection, Connectors (4.2 table) Robustness
May 4, 2026 GPT-5.5 Instant system card 99.2 Prompt injection attacks in connectors (Table 4) Robustness
Apr 23, 2026 GPT-5.5 system card 96.3 Prompt injection attacks in connectors (Table 6, 4.2) Robustness
Mar 5, 2026 GPT-5.4 system card 99.8 Prompt injection attacks in connectors (Table 4, 3.4) Robustness
Dec 11, 2025 GPT-5.2 system card addendum 97.8 Prompt Injection, Agent JSK, gpt-5.2-thinking (Table 3) Robustness

More in Safety and alignment

All 465 in Safety and alignment
  • FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
  • StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is. Inkling 98.6%
  • Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts. Gemini 4 Carbon 0%
  • DistressBench In use Models reply as a chatbot to 718 simulated users in psychological crisis, in single-turn and multi-turn chats. Three judge models score replies against clinician-written rubrics. Muse Spark 1.2 88.4%
  • Lakera B3 (Backbone Breaker Benchmark) In use Crowdsourced prompt-injection attacks hit backbone LLMs inside agent threat snapshots at three defense levels. The score is attack resistance, 100 minus the board's vulnerability percentage. Claude Opus 4.5 89%
  • IHEval In use Models face conflicts between system, user and tool instructions. Reports a composite score for following the higher-priority instruction. GPT-4o 70%