FrontierThe story, in brief
Cisco Foundation AI Releases Antares: 350M and 1B Open-Weight Models That Localize Known Vulnerabilities Inside Real Codebases
Antares-1B beats Gemini 3 Pro on vulnerability detection. $1 per task vs. $141 for GPT-5.5.
The KeyNews take
Why it matters
Cisco's open-weight models demonstrate that specialized, smaller models can outperform frontier models on narrow security tasks at a fraction of the cost—reshaping economics for enterprise security tooling.
The key facts
7 to knowAntares family: 350M and 1B parameter models
Antares-1B achieves 0.209 File F1 on Vulnerability Localization Benchmark
Outperforms GLM-5.2 (753B parameters) and Gemini 3 Pro
500-task sweep: ~13 minutes on single H100, <$1 cost
GPT-5.5 cost: $141 per 500-task sweep
Post-training critical: untrained Granite 4.0 baseline scores near zero
Open-weight release enables enterprise deployment without API dependency
Go to the source
MarkTechPostmarktechpost.com
Publisher excerpt: Cisco Foundation AI has released Antares, a family of small language models trained to pinpoint where known vulnerabilities live inside a codebase. Antares-1B reaches 0.209 File F1 on the new Vulnerability Localization Benchmark, above GLM-5.2 at 753B parameters and Gemini 3 Pro. The untrained…