Cisco Foundation AI Releases Antares: 350M and 1B Open-Weight Models That Localize Known Vulnerabilities Inside Real Codebases

Short summary

Cisco Foundation AI released Antares, a family of open-weight small language models (350M and 1B) that locate known vulnerabilities inside real codebases. Antares-1B outperforms much larger models like GLM-5.2 (753B) and Gemini 3 Pro on the Vulnerability Localization Benchmark, with post-training providing nearly all capability. A full 500-task sweep costs under a dollar on a single H100 in 13 minutes, compared to $141 for GPT-5.5.

• •Antares 350M/1B open-weight models localize known vulnerabilities in codebases
• •Antares-1B beats GLM-5.2 (753B) and Gemini 3 Pro on Vulnerability Localization Benchmark
• •500-task sweep costs <$1 on one H100 vs $141 for GPT-5.5

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