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Kotlin-bench V2, announced 2026-01-08, is presented as the first benchmark…

2026-01-08 · 20:55 UTC ·@AmanGotchu ·0 min read

Brief

Kotlin-bench V2 is a new benchmark (announced 2026-01-08) that adapts the SWEBench approach to a curated set of real-world Android and Kotlin issues to evaluate agentic coding models. The author reports Claude Opus 4.5 as top-performing for Android intelligence, and Gemini 3 Flash as the best value option at about 10× lower cost; full results and code are on the linked blog and GitHub.

Why it matters

Kotlin-bench V2, announced 2026-01-08, is presented as the first benchmark evaluating agentic coding models specifically for Android and Kotlin using a catered dataset of real-world Android & Kotlin issues and the SWEBench methodology.

Key details

  • Benchmark results claim Claude Opus 4.5 is the most intelligent model for Android development, while Gemini 3 Flash offers the best cost-to-intelligence ratio, with slightly lower performance at approximately 10× lower cost.
Source evidence

title: @AmanGotchu: Introducing Kotlin-bench V2, the first benchmark that evaluates agentic coding models for Android an...
author: @AmanGotchu
contenttype: tweet
publication: Twitter/X
published: 2026-01-08T20:55:52+00:00
sourceurl: https://x.com/AmanGotchu/status/2009368480458707227

word_count: 84

Introducing Kotlin-bench V2, the first benchmark that evaluates agentic coding models for Android and Kotlin. 🚀

We took the SWEBench approach and applied it to our catered dataset of real-world Android & Kotlin issues.

The results show:
- Claude Opus 4.5 is the most intelligent model for Android development.
- Gemini 3 Flash delivers the best cost-to-intelligence ratio by far, with slightly lower performance than Claude Opus 4.5 at approximately 10x lower cost

View all the results on our blog and github
firebender.com/blog/kotlin-b…
github.com/firebenders/Kotli…