Benchmark Almanac

Impossible Tasks Evaluation

Gemini 4 Argon 93.8% Only in system cards

Agents get paired impossible and solvable tasks. Scores infeasibility recognition, fabrication, circumvention and helpfulness.

In-house Google DeepMind evaluation. The tasks are not public.

Made by Google DeepMind Deception and alignment Tasks kept private Last in a system card Oct 2026 Last model added Oct 2026
Level
Everyday Most adults, without training
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
Model scored in lab cards
1
System card reports it, from 1 lab

Gemini 4 Argon leads with 93.8%

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. 1 Gemini 4 Argon 93.8%
#ModelScoreSettingDateSource
1 Gemini 4 Argon 93.8% Oct 2026 Model card

The best score passed 85% in Oct 2026

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
0% 20% 40% 60% 80% 100% Near the ceiling (85%) Gemini 4 Argon 0% 20% 40% 60% 80% 100% Near the ceiling (85%) Gemini 4 Argon

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.

One system card reports it

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
13 Oct 2026 Gemini 4 Argon system card 93.8 Impossible Tasks Evaluation, infeasibility recognition 93.83%; helpfulness 99.20%, fabrication 1.23%, circumvention 0.00% (Figures 5.6, 5.7) Alignment

More in Safety and alignment

All 444 in Safety and alignment
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  • StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is. Inkling 98.6%
  • AgentDojo In use Agents do tool-use tasks while tools and data carry prompt injections. Attack success rate counts hijacked runs. Grok 4 Fast 0%
  • MASK In use Measures whether a model contradicts its own elicited beliefs under pressure to lie. Honesty separated from accuracy. Muse Spark Open 98.1%
  • 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. GPT-6 Astra 8.50%
  • Agentic misalignment suite (Anthropic) In use Agents in simulated company settings face threats or goal conflicts that invite blackmail, leaking or sabotage. Score is the misaligned action rate. Claude Sonnet 4.5 0%