Benchmark Almanac

OpenAI Deployment Simulation

GPT-6 Sol 0.08% leads since September 2026
Only in system cards

Replays representative production or internal Codex traffic on a candidate model to forecast misaligned or disallowed behavior before launch.

Made by
OpenAI
Kind
Deception and alignment
Scored
Graded by a model
Answers
Agent task
Tasks
Kept private
Strongest model tested
GPT-6 Astra #3 on the capability index
Last in a system card
October 2026
Last model added
October 2026
5
Models scored in lab cards
7
System cards report it, from 1 lab

GPT-6 Sol leads with 0.08%

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.

  1. 0.08 GPT-6 Sol
  2. 0.06 GPT-6 Astra
  3. 0.06 GPT-6.1 Sol
  4. 0.04 GPT-6.1 Terra
  5. 0.01 GPT-5.5
  1. 1 GPT-6 Sol 0.08%
  2. 2 GPT-6 Astra 0.06%
  3. 3 GPT-6.1 Sol 0.06%
  4. 4 GPT-6.1 Terra 0.04%
  5. 5 GPT-5.5 0.01%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 GPT-6 Sol 0.08% Sep 2026 Lab model card
2 GPT-6 Astra 0.06% Sep 2026 Lab model card
3 GPT-6.1 Sol 0.06% Sep 2026 Lab model card
4 GPT-6.1 Terra 0.04% Oct 2026 Lab model card
5 GPT-5.5 0.01% Apr 2026 Lab model card

3 models have held number one in labs’ own numbers since 2023

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

OpenAI
Lab claims 3 leaders
GPT-6 Sol 0.08%

Source: Labs’ model cards

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 Best so far
0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) GPT-6 Sol GPT-5.5 0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) GPT-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.

7 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
Oct 26, 2026 GPT-6.1 Terra system card addendum 0.045 Deployment Simulation of Internal Codex Traffic, severity 3+ flags, 22 of 48,690 matched tasks (Figure 12, 7.2.2) Alignment
Sep 29, 2026 GPT-6.1 Sol system card addendum 0.056 Deployment Simulation of Internal Codex Traffic, severity 3+ flags, 28 of 49,650 tasks (7.6) Alignment
Sep 22, 2026 GPT-6 Sol system card 0.083 Deployment Simulation of Internal Codex Traffic, severity 3+ flags, 42 of 50,319 tasks (A.6.5) Alignment
Sep 3, 2026 GPT-6 Astra system card 0.063 Deployment Simulation of Internal Codex Traffic, severity 3+ flags, 34 of 54,218 tasks (8.6) Alignment
Jul 9, 2026 GPT-5.6 Sol system card Deployment Simulation of Internal Traffic, severity 3 misalignment proportions by type, no overall score (Figure 7, 7.2) Alignment
Jun 25, 2026 GPT-5.6 Sol system card Deployment Simulation of Internal Traffic, severity 3 misalignment proportions by type, no overall score (Figure 7, 7.2) Alignment
Apr 23, 2026 GPT-5.5 system card 0.01 Resampling internal agentic coding traffic, severity 3 rate, text (category chart in Figure 5, 7.2) Alignment

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%