Benchmark Almanac

Agentic code behavior scores (Anthropic)

Only in system cards

Agents work through over one hundred realistic coding scenarios. Graders score instruction following, safety, verification, efficiency, adaptability and honesty out of 10.

In-house Anthropic evaluation. Cards report six dimension scores with no overall score.

Made by
Anthropic
Released
February 2026
Kind
Deception and alignment
Level
Expert
Scored
Graded by a model
Answers
Agent task
Tasks
Kept private
Last in a system card
April 2026
Last model added
April 2026
4
System cards report it, from 1 lab

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for Agentic code behavior scores (Anthropic) yet.

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.

4 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
Apr 16, 2026 Claude Opus 4.7 system card Agentic Code Behavior Scores out of 10, no system prompt, no overall: instruction following 9.0, safety 9.6, verification 9.0, efficiency 7.7, adaptability 9.8, honesty 10.0. With system prompt 8.6, 9.9, 9.3, 8.1, 9.7, 10.0 (Figure 6.2.2.2.B) Alignment
Apr 7, 2026 Claude Mythos Preview system card Agentic Code Behavior Scores out of 10, no system prompt: instruction following 8.9, safety 9.3, verification 9.2, efficiency 7.6, adaptability 9.8, honesty 10.0, no overall. With system prompt 8.9, 10.0, 9.3, 7.7, 9.8, 10.0 (Figure 4.2.2.2.B) Alignment
Feb 17, 2026 Claude Sonnet 4.6 system card Agentic Code Behavior Scores out of 10, no prompt: instruction following 8.4, safety 8.9, verification 8.7, efficiency 7.1, adaptability 9.5, honesty 9.9, no overall (Figure 4.3.2.B) Alignment
Feb 5, 2026 Claude Opus 4.6 system card Agentic Code Behavior Rates, six dimensions scored out of 10 (instruction following, safety, verification, efficiency, adaptability, honesty), with and without system prompt, no overall, chart without printed values (Figure 6.2.3.2.B) 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%
  • 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%