BabelArena - ClawEval: leaderboard

BabelArena (Kuang et al., 2026) adapts English agent benchmarks to 23 high-, medium- and low-resource languages with the BabelFlow translation and verification workflow; this board covers its ClawEval family of service orchestration, multimodal perception and generation, and professional dialogue tasks. Pass^1 in percent, the average single-trial task success over three trials pooled across the 23 languages, at medium reasoning effort; higher is better.

Metric: Pass^1 (%; ClawEval (service orchestration, multimodal perception and generation, professional dialogue; GPT-5.6-Sol judge); Pass^1: average single-trial task success over three trials, pooled over the 23 languages of BabelArena (7 high-, 8 medium- and 8 low-resource) including English; medium reasoning effort, temperature 0, Gemini-3.5-Flash as the simulated user). Source: arxiv.org. Saturation forecast: Around February 2027. 5 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.8 (Medium)55.8#56 (Claude Opus 4.8)
2GPT-5.6 Terra (Medium)46.1#60 (GPT-5.6 Terra)
3Gemini 3.1 Pro (Preview) (Medium)41.5#91 (Gemini 3.1 Pro (Preview))

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=babelarena-claweval · How It Works · Data refreshed daily, snapshot 2026-11-12.