MultiLangBench - Scala: leaderboard

OpenAI October 19 release; implement SQLite 3.40.1 from documentation without network or installed SQLite; validate database effects against reference SQLite. Default released evaluation uses 272 hash-selected tests; the repository permits full-suite refinement if reported. Every embedded model/effort point retained; no cost-based or best-effort selection. Test Pass Rate (%); higher is better.

Metric: Test Pass Rate (%). Source: openai.com. Saturation forecast: Around January 2027. 22 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6.1 Sol (Max)89.1#7 (GPT-6.1 Sol)
2GPT-6 Astra (Max)84.8#6 (GPT-6 Astra)
3GPT-6.1 Sol (xHigh)72.8#7 (GPT-6.1 Sol)
4GPT-6 Astra (xHigh)72.5#6 (GPT-6 Astra)
5GPT-6 Astra (High)71#6 (GPT-6 Astra)
6GPT-6.1 Sol (High)70.3#7 (GPT-6.1 Sol)
7GPT-6.1 Sol (Medium)64.5#7 (GPT-6.1 Sol)
8GPT-6 Astra (Medium)64#6 (GPT-6 Astra)
9GPT-6 Luna (Max)42.3#56 (GPT-6 Luna)
10GPT-5.6 Sol (Max)29.3#19 (GPT-5.6 Sol)
11GPT-6 Luna (xHigh)23.7#56 (GPT-6 Luna)
12GPT-6 Astra (Low)23.2#6 (GPT-6 Astra)
13GPT-5.6 Sol (xHigh)18.6#19 (GPT-5.6 Sol)
14GPT-6 Luna (High)17.1#56 (GPT-6 Luna)
15GPT-6.1 Sol (Low)11.2#7 (GPT-6.1 Sol)

No result here: #3 Claude Opus 5.5, #8 Gemini 4 Argon, #9 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=multilangbench-scala · How It Works · Data refreshed daily, snapshot 2026-10-20.