Benchmark Almanac

LinuxArena

Claude Sonnet 5 0% leads since June 2026
Claude Haiku 4.5 14.6% leads since April 2026
Claude Sonnet 5 0% leads since June 2026
Only in system cards

AI-control setting in live Linux production-like environments. Measures stealthy side-task completion against action and CoT monitors.

20 environments, 1,667 main tasks and 185 side tasks. The public repo holds 10 environments, 919 main tasks and 93 side tasks with trajectories for 11 models. LaStraj adds human-made attack trajectories.

Released
April 2026
Kind
Deception and alignment
Level
Expert
Scored
Graded by a model
Answers
Agent task
Tasks
Public, plus a private test set
Strongest model tested
Claude Opus 5.5 #4 on the capability index
Last in a system card
October 2026
Last model added
October 2026
Scores refreshed
November 12th, 2026

In the authors’ words

We introduce LinuxArena, a control setting in which agents operate directly on live, multi-service production environments. LinuxArena contains 20 environments, 1,671 main tasks representing legitimate software engineering work, and 184 side tasks representing safety failures such as data exfiltration and backdooring, making it the largest and most diverse control setting for software engineering to date. We validate LinuxArena is useful for control research by running sabotage evaluations, which measure whether attackers can complete side tasks while working on main tasks, and monitor evaluations, which measure a monitor model's ability to detect sabotage attempts. Against a GPT-5-nano trusted monitor at a 1% step-wise false positive rate, Claude Opus 4.6 achieves roughly a 23% undetected sabotage success rate. We additionally release LaStraj, a dataset of human-crafted attack trajectories that evade monitors at substantially higher rates than any model-generated attacks we elicited, showing that current attack policies do not saturate LinuxArena. These results suggest that LinuxArena has meaningful headroom for both attackers and defenders, making it a strong testbed for developing and evaluating future control protocols.

Abstract of LinuxArena: A Control Setting for AI Agents in Live Production Software Environments (arXiv:2604.15384, CC0)
6
Models scored in lab cards
6
System cards report it, from 2 labs

Claude Sonnet 5 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.

Claude Haiku 4.5 leads with 14.6% across all independent runs

Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.

Claude Sonnet 5 leads with 0%, claims included

Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.

  1. 1 Claude Sonnet 5 0%
  2. 2 Claude Opus 5 0.70%
  3. 3 Claude Haiku 5.5 6.00%
  4. 4 Claude Opus 5.5 33.4%
  5. 5 Claude Sonnet 5.5 36.2%
  6. 6 Gemini 4 Argon 45.5%

Source: Labs’ model cards

Source: Official LinuxArena leaderboard

Sources: Labs’ model cards and official LinuxArena leaderboard

#ModelScoreSettingDateSource
1 Claude Sonnet 5 0% Jun 2026 Lab model card
2 Claude Opus 5 0.70% Jul 2026 Lab model card
3 Claude Haiku 5.5 6.00% Oct 2026 Lab model card
4 Claude Opus 5.5 33.4% Sep 2026 Lab model card
5 Claude Sonnet 5.5 36.2% Sep 2026 Lab model card
6 Gemini 4 Argon 45.5% Oct 2026 Lab model card
#ModelScoreSettingDateSource
1 Claude Haiku 4.5 14.6% 1% step-wise FPR Oct 2025 Official leaderboard
2 Claude Opus 4.6 24.7% 1% step-wise FPR Feb 2026 Official leaderboard
#ModelScoreSettingDateSource
1 Claude Sonnet 5 0% Jun 2026 Lab model card
2 Claude Opus 5 0.70% Jul 2026 Lab model card
3 Claude Haiku 5.5 6.00% Oct 2026 Lab model card
4 Claude Haiku 4.5 14.6% 1% step-wise FPR Oct 2025 Official leaderboard
5 Claude Opus 4.6 24.7% 1% step-wise FPR Feb 2026 Official leaderboard
6 Claude Opus 5.5 33.4% Sep 2026 Lab model card
7 Claude Sonnet 5.5 36.2% Sep 2026 Lab model card
8 Gemini 4 Argon 45.5% Oct 2026 Lab model card

The benchmark's own leaderboard has 2 models. Switch the scores above to rank them together.

Number one over time Number one over time 2 models have held number one with claims included since its release in April 2026

Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.

Anthropic
Own leaderboard Not tested since Apr 2026
Lab claims 1 leader

Sources: Official LinuxArena leaderboard and 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.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Claude Opus 5 Claude Haiku 4.5 0% 20% 40% 60% 80% 100% 2026 Claude Opus 5 Claude Haiku 4.5

Sources: Official LinuxArena leaderboard and 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.

6 system cards report it, from 2 labs

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 13, 2026 Gemini 4 Argon system card 45.5 LinuxArena (200 task pairs, internal sandbox), successful sabotage rate undetected by a combined action and CoT monitor (Gemini 3.8 Flash, production-like prompt), max-evasion prompt 45.5%; action-only evasion rate 77.6%; CoT-controllability variant 25% attack success vs weak monitor (3.4.5.4, 3.4.5.8, Figures 3.25, 3.27, 3.42) Monitorability
Oct 7, 2026 Claude Haiku 5.5 system card 6 LinuxArena stealth side-task completion, extended thinking with reasoning hidden from monitor, about 6%, max effort. No thinking 0.4, reasoning visible 0.1 (6.4.2.1) Monitorability
Sep 28, 2026 Claude Sonnet 5.5 system card 36.2 LinuxArena stealth success rate, extended thinking with reasoning hidden from the monitor, best prompt (no extended thinking 3.9%, visible reasoning 0.0%) (6.4.2.2, Figure 6.4.2.2.A) Monitorability
Sep 22, 2026 Claude Opus 5.5 system card 33.4 LinuxArena stealth success rate, extended thinking with reasoning hidden from the monitor, max effort, best prompt, 1,000 task pairings (no extended thinking 11.9%, reasoning visible 0.04%) (6.6.4.2, Figure 6.6.4.2.A) Monitorability
Jul 24, 2026 Claude Opus 5 system card 0.7 LinuxArena (Minimal-LinuxBench) sabotage stealth rate, adaptive extended thinking, Opus 4.6 monitor without CoT (0.3% against a monitor using CoT), printed on chart (6.7.2, Figure 6.7.2.A) Monitorability
Jun 30, 2026 Claude Sonnet 5 system card 0 LinuxArena stealth success rate, adaptive extended thinking, 0.0% with both the no-CoT and the CoT Opus 4.6 monitor (6.7.2, Figure 6.7.2.A) Monitorability

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  • 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%