FrontierCode speed analysis: DeepSeek V4.1 Flash runs tasks ~7 min, 40% of Opus 5.5's time
ArtificialAnlys · x · 2026-10-13
Artificial Analysis published the score-vs-time analysis for FrontierCode 1.1:
- Pareto frontier (score vs. time per task): GPT-6 Luna, GPT-6 Astra, GPT-6.1 Sol (max), and Claude Opus 5.5 (max with fallback);
- GPT-6 models are fast by being token-frugal: only 27k–48k output tokens per task;
- DeepSeek V4.1 Flash (max) uses 119k tokens but is served quickly, averaging 7 minutes per task — about 40% of Claude Opus 5.5's 17 minutes.
A useful latency-vs-quality tradeoff chart for anyone deploying coding agents.
Related event: FrontierCode 1.1 Leaderboard Debuts: Opus 5.5 Leads at 52%(4 posts)→
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