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// 2h agoBENCHMARK RESULT
Gemini 3.5 Flash tops APEX-Agents-AA benchmark
Gemini 3.5 Flash is Google’s Flash-tier model, and the post highlights its #1 result on Artificial Analysis’ APEX-Agents-AA leaderboard, a benchmark for long-horizon, cross-application agent work. The standout point is that a smaller, speed-oriented model is now edging out larger frontier models on this kind of practical agent benchmark, which makes it especially interesting for builders who care about tool use and workflow execution rather than pure reasoning prestige.
// ANALYSIS
Hot take: this is one of those cases where “Flash” is no longer shorthand for “cheap and weaker”; it’s becoming a serious default for agentic workloads.
- –Artificial Analysis’ APEX-Agents-AA page shows Gemini 3.5 Flash (high) at the top with a 47.1% pass@1 score.
- –It beats GPT-5.5 (xhigh) at 37.7% and GPT-5.4 (xhigh) at 33.3% on that leaderboard.
- –The benchmark is specifically about long-horizon, cross-application tasks, so the result is more relevant to real agent workflows than simple chat benchmarks.
- –This makes Gemini 3.5 Flash look like a strong candidate when you want agent performance without automatically reaching for the biggest model.
// TAGS
geminigooglegoogle-deepmindflashbenchmarkagentsartificial-analysisapec-agents-aallm
DISCOVERED
2h ago
2026-05-21
PUBLISHED
4h ago
2026-05-21
RELEVANCE
9/ 10
AUTHOR
Independent-Wind4462