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Real-world evals for computer-use agents. Live tasks, blind human judgment, and every number published with the rule that produced it.

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Benchmarks

Golden Benchmark

A fixed task set published beside the leaderboard rating, weighing nothing on it: 385 deterministic, journal-graded tasks every model is scored on once per release. The Composite below blends them with the arena’s Bradley-Terry rating in a frozen cohort and maps the blend back onto the Elo scale; /leaderboard ranks on the arena fit alone and prints this score in grey beside it. The arena moves with every vote; this set does not.

Standings

Ranked: 18 models on the roster with a Bradley-Terry arena rating.
RankModelCompositeStabilised ratingBaseArenaStatus
1–4pt 1Claude Opus 599.298.6–99.81067 ±1499.999.6–≤1001048 ±411,476 gamessettled
1–4pt 2Claude Fable 599.198.1–≤1001064 ±2498.997.3–≤1001079 ±351,585 gamessettled
2–9pt 3Claude Fable 5.198.497.7–99.11048 ±1799.598.9–≤1001006 ±49186 gamesyoung
2–9pt 4Gemini 3.7 Flash97.996.2–99.61035 ±4397.594.2–99.91054 ±281,110 gamessettled
2–12pt 5GPT-5.6 Sol97.996.1–99.61034 ±4497.594.2–99.91051 ±252,016 gamessettled
3–12pt 6Claude Sonnet 597.696.4–98.81027 ±3097.795.6–99.31027 ±35958 gamessettled
3–12pt 7Gemini 3.8 Flash97.695.7–99.41026 ±4697.594.2–≤1001041 ±71205 gamesyoung
4–15pt 8GPT-6 Astra97.395.8–98.81019 ±3898.796.2–≤100924 ±9588 gamesyoung
5–14pt 9GPT-5.6 Terra97.295.5–98.91017 ±4397.093.9–99.31025 ±361,107 gamessettled
5–15pt 10Qwen3.8 Max97.095.7–98.21011 ±3197.095.0–98.81007 ±34481 gamessettled
5–16pt 11GPT-5.6 Luna96.895.0–98.61008 ±4496.393.1–98.81030 ±29898 gamessettled
7–16pt 12Muse Spark 1.296.795.6–97.71003 ±2798.596.8–99.7918 ±44363 gamessettled
6–16pt 13Kimi K396.495.0–97.9998 ±3795.793.2–97.81030 ±39553 gamessettled
9–16pt 14Gemini 3.5 Flash96.394.6–98.0994 ±4296.893.9–99.1967 ±35710 gamessettled
8–16pt 15GLM 5.3 Flash96.395.0–97.5994 ±3197.495.4–99.1931 ±52182 gamesyoung
10–16pt 16Grok 4.696.294.4–98.0992 ±4596.993.6–99.4961 ±34472 gamessettled
16–18pt 17Claude Haiku 4.594.392.2–96.4945 ±5193.589.9–96.6968 ±42768 gamessettled
17–18pt 18Inkling93.891.5–96.1932 ±5792.988.9–96.3954 ±50475 gamessettled
More columns: tiers, fail, severe, solved, k
Fail is the share of episodes scoring below 1.0, with its Wilson 95% interval; severe is the share at or below 0.25.
ModelCoreHardDiverseEdgeFailSevereSolvedk
Claude Opus 5100.0100.0100.099.40.3%Wilson 0.0–1.5%0.0%76/770.84
Claude Fable 5100.097.9100.096.92.1%Wilson 1.1–4.0%0.0%74/770.87
Claude Fable 5.1100.099.498.3100.00.8%Wilson 0.3–2.3%0.0%74/770.78
Gemini 3.7 Flash99.791.5100.096.94.2%Wilson 2.6–6.6%1.3%73/770.92
GPT-5.6 Sol100.089.7100.098.13.6%Wilson 2.2–6.0%2.3%73/770.93
Claude Sonnet 599.296.397.096.94.7%Wilson 3.0–7.3%0.3%69/770.87
Gemini 3.8 Flash100.091.5100.096.43.9%Wilson 2.4–6.3%1.6%74/770.63
GPT-6 Astra100.093.6100.0100.01.6%Wilson 0.7–3.4%1.6%75/770.49
GPT-5.6 Terra99.488.6100.098.14.2%Wilson 2.6–6.6%2.6%71/770.87
Qwen3.8 Max98.992.897.597.54.9%Wilson 3.2–7.6%0.5%67/770.88
GPT-5.6 Luna98.987.2100.096.95.5%Wilson 3.6–8.2%2.3%68/770.91
Muse Spark 1.299.894.298.9100.02.6%Wilson 1.4–4.7%0.5%70/770.82
Kimi K3100.091.492.095.87.0%Wilson 4.9–10.0%1.8%62/770.85
Gemini 3.5 Flash100.088.699.896.46.0%Wilson 4.0–8.8%0.8%69/770.87
GLM 5.3 Flash99.095.198.096.44.7%Wilson 3.0–7.3%0.3%67/770.76
Grok 4.6100.088.9100.096.15.2%Wilson 3.4–7.9%1.3%71/770.88
Claude Haiku 4.599.483.691.095.310.6%Wilson 7.9–14.1%2.6%58/770.83
Inkling98.385.387.296.211.2%Wilson 8.4–14.7%4.9%56/770.77
Listed, not ranked: 1 model below the arena floor.
ModelCompositeStabilised ratingBaseArenaStatus
Muse Spark 1.397.695.1–≤1001026 ±6297.694.7–99.6932 ±4003 gamesarena pending
Benchmarked, not on the roster: 7 agents retired from the displayed roster but present in the arena fit. Composited, never ranked.
ModelCompositeStabilised ratingBaseArenaStatus
Gemini 3.6 Flash97.796.0–99.41029 ±4397.093.9–99.41061 ±30741 gamessettled
GPT-5.597.696.1–99.21028 ±3997.494.7–99.61040 ±34442 gamessettled
GPT-596.495.3–97.5997 ±2797.996.2–99.3930 ±36249 gamesyoung
Muse Glimmer 30B95.193.2–97.0965 ±4894.491.2–97.1974 ±9552 gamesyoung
Kimi K2.7 Code93.790.4–97.1931 ±8493.790.2–96.91000 ±4001 gamearena pending
Gemini 3.1 Flash-Lite92.590.2–94.9901 ±5990.686.5–94.2966 ±46254 gamesyoung
Gemini 3.5 Flash-Lite92.089.7–94.4888 ±5889.885.7–93.31024 ±33438 gamessettled

How to read the table

Composite = clamp(Base + W_MAX·σB·clamp(k·z_arena − z_base, ±3), 0, 100); k = σL²/(σL² + SE_L²); w = W_MAX once the arena rating is Bradley-Terry (≥ 30 games), else 0 (listed, unranked)

Base is 100 × the mean over templates of the template mean over its seeds, every template counting once: a fixed set of deterministic, journal-graded tasks with a known correct outcome, run once per model release with the same tasks, seeds and grader version for every model. The task-set CI is a 95% bootstrap over templates: how Base would move if the task set were resampled.

Composite is Base plus W_MAX·σB times the difference between the shrunk arena z-score and the Base z-score, both standardised in the frozen calibration cohort, with that difference clamped to ±3 and the result to [0, 100]. It is a declared 60/40 blend of two constructs (Base and the arena logit correlate at r = 0.433 in the cohort), not an estimate of one quantity. The interval is the published 95% interval, clipped to [0, 100].

Stabilised rating is the Composite’s z mapped onto the arena’s Elo scale: stable = 1000 + 173.72·(μL + σL·z_C), z_C = z_base + W_MAX·clamp(k·z_arena − z_base, ±3); w = 0 below the arena floor (Base-only). It was the rating /leaderboard printed until 2026-09-12; the board now ranks on the arena’s live Bradley-Terry fit alone, with a rank band from that fit’s own standard errors, and shows Base beside it in grey. Published here and in the JSON as a second opinion that weighs nothing on the board; its order is the Composite’s, and it moves at W_MAX·k of the live fit’s daily movement.

k is the empirical-Bayes shrinkage of the arena estimate at its current precision, σL²/(σL² + SE_L²): a young ±95 rating counts for about half of what it says, a settled ±25 for 93%. The blend weight w is W_MAX once the rating is Bradley-Terry (≥ 30 games) and 0 otherwise, so a model below the floor is listed with Composite = Base and not numbered.

Rank is the 95% interval of the model’s rank under a joint bootstrap (templates resampled in step across models, each arena rating jittered by its SE), printed as a band with the point position beside it. Where the data cannot separate two models, the band says so instead of printing 0.1-point order.

Top-pair order sensitivity

The W_MAX at which adjacent top pairs would change order, with the gap in Composite points.
PairGapFlips at W_MAX
Claude Opus 5 vs Claude Fable 50.1140.454
Claude Fable 5 vs Claude Fable 5.10.6540.192
Claude Fable 5.1 vs Gemini 3.7 Flash0.5170.537
Gemini 3.7 Flash vs GPT-5.6 Sol0.046not reported
GPT-5.6 Sol vs Claude Sonnet 50.2500.174

Constants

Version
gb-1.3.0/env-1.1.0/grader-1.3.0
Templates
77
Episodes
10,010
Templates at ceiling
29
Report generated
2026-09-07
Arena snapshot
2026-09-06 (computed 2026-09-06)
Cohort
14 models: roster ∩ coverage = 1.0 ∩ Bradley-Terry ∩ games ≥ 300
W_MAX
0.4
μB / σB
96.857 / 1.891
μL / σL
0.049 / 0.271
r(Base, arena logit)
0.433
Balance point W
0.435
Arena floor
30 games
Calibration
scripts/bench/calibration/gb-1.3.0_env-1.1.0_grader-1.3.0.json

Stability

Measured over the arena’s real daily snapshots with Base held fixed: mean daily |Δ| in Base points, mean Kendall τ between consecutive daily rankings, and the share of days on which #1 changed. Three series: the arena alone, the composite at steady state (k = 1 for every agent), and the composite as published (each day’s k).

Day-to-day movement of the ranking: 14 agents over the last 30 days of the arena snapshot.
SeriesMean daily |Δ|Kendall τ#1 changed
Arena alone0.2870.8837%
Composite, steady state0.1110.95127%
Composite, as published0.0820.9587%

Reliability

Split-half Spearman ρ of Base across 26 models over all ten 2-vs-3 seed splits: mean, minimum, maximum, the Fisher-z 95% interval and the Spearman-Brown full-length estimate. A tier whose cross-model sd is below 1 Base point is marked uninformative.

Split-half reliability of Base by tier.
TierMean ρMinMaxFisher-z 95%Spearman-BrownCross-model sdReads
All templates0.8530.7740.9240.696–0.9320.9212.536informative
Core tier0.4820.1790.6570.117–0.7330.6510.927uninformative
Hard tier0.8480.8060.9310.685–0.9300.9175.515informative
Diverse tier0.8610.8000.9270.710–0.9360.9255.332informative
Edge tier0.5730.4280.7200.239–0.7860.7291.706informative

Repeatability

A second full pass on the same tasks for 7 models: Base on run 1 against run 2, the difference, and the number of episodes whose pass/fail flipped. The task-set CI says how Base moves if the tasks are resampled; this says how it moves when the model is re-run. Implied per-run SE of Base (rms Δ/√2): 0.16 points.

Base on two independent passes, by model.
ModelEpisodes per passBase, run 1Base, run 2ΔPass flips
Claude Fable 522098.198.10.054
Claude Fable 5.122099.299.50.323
Gemini 3.7 Flash38597.597.50.000
GPT-5.6 Sol38597.597.50.075
Claude Opus 522099.899.5-0.271
Qwen3.8 Max38597.097.40.3816
Claude Sonnet 538597.797.6-0.117
Golden Benchmark JSONComputer Use ArenaLive leaderboard