Brokk Power Ranking
Models solve 181 real tickets from a 1.1 million line Rust codebase. Model judges compare solutions in pairs, and a Bradley-Terry fit gives each model a strength score.
Also reports speed and value per model. Updated October 29th, 2026. Release month is the earliest Reddit post found, so check it.
- Made by
- Brokk (SlopCop)
- Released
- August 2025
- Kind
- Fixing real repositories
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Code
- Tasks
- Kept private
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
Claude Opus 5.5 leads with 39.7
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
- 39.7 Claude Opus 5.5
- 29.6 GPT-6.1 Terra
- 26.9 Claude Sonnet 5.5
- 19.9 GPT-6.1 Sol
- 19.9 Claude Haiku 5.5
- 14.5 GPT-6 Astra
- 10.7 GPT-6 Luna
- 10.6 Claude Opus 5
- 8.80 GPT-5.6 Luna
- 8.30 Kimi K3
- 8.20 GPT-6 Sol
- 7.80
DeepSeek V4.1 Flash
- 7.60 GPT-5.6 Sol
- 5.40 Grok 4.7
- 4.60
Muse Spark 1.3
- 3.50 Kimi K3.1 Pro
- 3.00 GLM-5.3
- 1.70 GLM-5.3-Flash
- 1.50 Grok 4.6
- 1 Claude Opus 5.5 xhigh 39.7
- 2 GPT-6.1 Terra max 29.6
- 3 Claude Sonnet 5.5 xhigh 26.9
- 4 GPT-6.1 Sol high 19.9
- 5 Claude Haiku 5.5 max 19.9
- 6 GPT-6 Astra low 14.5
- 7 GPT-6 Luna max 10.7
- 8 Claude Opus 5 xhigh 10.6
- 9 GPT-5.6 Luna max 8.80
- 10 Kimi K3 max 8.30
- 11 GPT-6 Sol xhigh 8.20
- 12
DeepSeek V4.1 Flash max 7.80
- 13 GPT-5.6 Sol xhigh 7.60
- 14 Grok 4.7 high 5.40
- 15
Muse Spark 1.3 ultra 4.60
- 16 Kimi K3.1 Pro max 3.50
- 17 GLM-5.3 max 3.00
- 18 GLM-5.3-Flash max 1.70
- 19 Grok 4.6 xhigh 1.50
Source: Official Brokk Power Ranking leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 | 39.7 | xhigh | Sep 2026 | Official leaderboard |
| 2 | GPT-6.1 Terra | 29.6 | max | Oct 2026 | Official leaderboard |
| 3 | Claude Sonnet 5.5 | 26.9 | xhigh | Sep 2026 | Official leaderboard |
| 4 | GPT-6.1 Sol | 19.9 | high | Sep 2026 | Official leaderboard |
| 5 | Claude Haiku 5.5 | 19.9 | max | Oct 2026 | Official leaderboard |
| 6 | GPT-6 Astra | 14.5 | low | Sep 2026 | Official leaderboard |
| 7 | GPT-6 Luna | 10.7 | max | Sep 2026 | Official leaderboard |
| 8 | Claude Opus 5 | 10.6 | xhigh | Jul 2026 | Official leaderboard |
| 9 | GPT-5.6 Luna | 8.80 | max | Jul 2026 | Official leaderboard |
| 10 | Kimi K3 | 8.30 | max | Jul 2026 | Official leaderboard |
| 11 | GPT-6 Sol | 8.20 | xhigh | Sep 2026 | Official leaderboard |
| 12 | | 7.80 | max | Sep 2026 | Official leaderboard |
| 13 | GPT-5.6 Sol | 7.60 | xhigh | Jul 2026 | Official leaderboard |
| 14 | Grok 4.7 | 5.40 | high | Sep 2026 | Official leaderboard |
| 15 | | 4.60 | ultra | Sep 2026 | Official leaderboard |
| 16 | Kimi K3.1 Pro | 3.50 | max | Oct 2026 | Official leaderboard |
| 17 | GLM-5.3 | 3.00 | max | Aug 2026 | Official leaderboard |
| 18 | GLM-5.3-Flash | 1.70 | max | Aug 2026 | Official leaderboard |
| 19 | Grok 4.6 | 1.50 | xhigh | Aug 2026 | Official leaderboard |
Intelligence vs speed
Working minutes per task for a task of typical size, against the Bradley-Terry strength from pairwise judging (0 is the average model). The line joins the runs that no other run beats on both measures. We redrew this chart from the numbers on the official leaderboard.
| Model | Setting | Intelligence (strength) | Working time per task |
|---|---|---|---|
| Claude Opus 5.5 | xhigh | 3.12 | 7,164 s |
| GPT-6.1 Terra | max | 2.35 | 5,676 s |
| Claude Sonnet 5.5 | xhigh | 2.13 | 7,290 s |
| Claude Opus 5.5 | high | 2.05 | 5,016 s |
| GPT-6 Astra | low | 1.26 | 3,312 s |
| Kimi K3 | max | 1.25 | 9,774 s |
| GPT-6.1 Sol | high | 1.2 | 4,164 s |
| GPT-6 Astra | medium | 1.19 | 3,264 s |
| Claude Opus 5 | xhigh | 1.02 | 8,436 s |
| GPT-6.1 Sol | medium | 1 | 4,458 s |
| GPT-6.1 Sol | xhigh | 0.97 | 4,230 s |
| Claude Haiku 5.5 | max | 0.86 | 5,358 s |
| Claude Sonnet 5.5 | high | 0.76 | 5,178 s |
| Claude Opus 5.5 | medium | 0.71 | 5,022 s |
| GPT-6.1 Terra | xhigh | 0.34 | 3,912 s |
| | max | 0.13 | 8,958 s |
| Claude Haiku 5.5 | xhigh | 0.09 | 5,076 s |
| GPT-5.6 Sol | xhigh | -0.03 | 5,664 s |
| GPT-6 Sol | xhigh | -0.16 | 3,738 s |
| Grok 4.7 | xhigh | -0.54 | 5,130 s |
| Grok 4.7 | high | -0.61 | 5,490 s |
| | high | -0.79 | 8,748 s |
| GPT-6 Luna | max | -0.82 | 6,348 s |
| Kimi K3.1 Pro | max | -0.88 | 7,476 s |
| GPT-5.6 Luna | max | -0.91 | 6,522 s |
| GPT-6.1 Terra | high | -1.05 | 2,502 s |
| Claude Haiku 5.5 | high | -1.18 | 5,964 s |
| GLM-5.3 | max | -1.33 | 6,498 s |
| GPT-6 Luna | xhigh | -1.4 | 5,676 s |
| | ultra | -1.6 | 6,342 s |
| Kimi K3.1 Pro | high | -2.15 | 6,900 s |
| Claude Sonnet 5.5 | medium | -2.45 | 2,868 s |
| GLM-5.3-Flash | max | -2.96 | 6,852 s |
| Grok 4.6 | xhigh | -3.01 | 4,044 s |
The best score, 39.7, costs $20 a task
Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official Brokk Power Ranking leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| Claude Opus 5.5 | xhigh | 39.7 | $20 | ||
| Claude Opus 5.5 | high | 29.7 | $11 | ||
| GPT-6.1 Terra | max | 29.6 | $6.82 | ||
| Claude Sonnet 5.5 | xhigh | 26.9 | $9.28 | ||
| GPT-6.1 Sol | high | 19.9 | $4.57 | ||
| Claude Haiku 5.5 | max | 19.9 | $5.12 | ||
| Claude Sonnet 5.5 | high | 18.2 | $4.04 | ||
| GPT-6.1 Sol | medium | 16.9 | $5.44 | ||
| GPT-6.1 Sol | xhigh | 16.9 | $5.51 | ||
| Claude Opus 5.5 | medium | 16.6 | $7.42 | ||
| Claude Haiku 5.5 | xhigh | 15.1 | $3.48 | ||
| GPT-6 Astra | low | 14.5 | $23 | ||
| GPT-6 Astra | medium | 13.7 | $26 | ||
| GPT-6.1 Terra | xhigh | 13.7 | $3.84 | ||
| GPT-6 Luna | max | 10.7 | $0.62 | ||
| Claude Opus 5 | xhigh | 10.6 | $47 | ||
| GPT-6.1 Terra | high | 9.00 | $1.98 | ||
| GPT-5.6 Luna | max | 8.80 | $1.54 | ||
| GPT-6 Luna | xhigh | 8.50 | $0.56 | ||
| Claude Haiku 5.5 | high | 8.50 | $2.28 | ||
| Kimi K3 | max | 8.30 | $24 | ||
| GPT-6 Sol | xhigh | 8.20 | $11 | ||
| | max | 7.80 | $0.54 | ||
| GPT-5.6 Sol | xhigh | 7.60 | $18 | ||
| Claude Sonnet 5.5 | medium | 5.50 | $1.41 | ||
| Grok 4.7 | high | 5.40 | $18 | ||
| | high | 5.30 | $0.43 | ||
| Grok 4.7 | xhigh | 4.90 | $32 | ||
| | ultra | 4.60 | $0.21 | ||
| Kimi K3.1 Pro | max | 3.50 | $13 | ||
| GLM-5.3 | max | 3.00 | $14 | ||
| Kimi K3.1 Pro | high | 2.00 | $12 | ||
| GLM-5.3-Flash | max | 1.70 | $4.12 | ||
| Grok 4.6 | xhigh | 1.50 | $21 |
4 models have held number one on the official leaderboard since its release in August 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Brokk Power Ranking leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official Brokk Power Ranking leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
More in Coding
- SWE-bench Verified In use 500 human-validated GitHub issues from 12 Python repos. Agent writes a patch that must pass hidden tests. Claude Opus 4.7 83.5%
- LiveCodeBench v6 In use Competitive programming problems collected after model cutoffs from LeetCode, AtCoder, Codeforces. Scored pass@1 on hidden tests.
DeepSeek-V4-Pro 93.5%
- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Fable 5.2 96.6%
- DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
- SciCode In use Scientist-curated research coding problems split into subproblems across natural sciences. Code checked against test cases.
Seed2.1 Pro 59.8%
- Codeforces rating In use Model solves recent Codeforces contest problems. An Elo-style rating is computed from simulated contest performance.
DeepSeek V4.1 Flash 3,471