Explicit Edit Benchmark: leaderboard

226 deterministic exact-edit tasks over eleven families - block, cross-file, distinct, multi-file and subset edits, replace-all, select-one, unique-match, literal edge cases, Unicode fixes and non-Latin-script text - replayed through coding agents; an observation passes only when the edited file matches the expected bytes. Score v2 = coverage × (0.75 first-exact + 0.25 final-exact), repetitions averaged inside a configuration and task and configurations weighted equally inside a task. Published here per model family, upstream's median over that model's complete eligible configurations, so a model with many harnesses is not ranked by its luckiest one. Higher is better. Source: huggingface.co/datasets/alexshpunt/explicit-edit-benchmark.

Metric: Explicit Edit Score v2 (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 26 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6.1 Sol100#7
2GPT-6.1 Terra100#15
3DeepSeek V4 Pro99.7#112
4Gemini 3.8 Flash99.7#30
5GPT-5.6 Sol98.8#22
6DeepSeek V4.1 Flash98.7#37
7MiMo-V2.6-Pro98.6#48
8DeepSeek V4 Flash97.9#155
9Qwen 3.8 Flash97.2#62
10GPT-6 Sol97.1#19
11Grok 4.697.1#29
12Kimi K2.7 Code96.7#95
13MiMo-V2.6-Flash96.7#74
14GPT-5.6 Terra96.3#40
15GPT-5.6 Luna94.1#79

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=explicit-edit-benchmark · How It Works · Data refreshed daily, snapshot 2026-11-05.