--- format: "aidr-story-markdown/v1" id: "f0b3dcf43111d9c8a90ce26ef03dae0e370ace32bec59538aa75cb70f50b4ac4" canonical_url: "https://aidr.today/f0b3dcf4?lang=en" title: "Carbon-X 14B Model Matches GPT-6.1 Sol in DNA Tasks at Lower Cost" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-11-01T15:37:49.000Z" category: "Models" topics: ["llm"] source_urls: ["https://marketbrief.now/ai/carbon-x-14b-model-matches-gpt-61-sol-in-dna-tasks-at-lower-cost-62bd8550","https://x.com/_lewtun/status/2116914192124920099","https://x.com/_lewtun/status/2116817535932789059","https://huggingnews.com/ai/carbon-x-14b-model-matches-gpt-61-sol-in-dna-tasks-at-lower-cost-62bd8550"] summary: "Carbon-X is an open-weights AI tool that performs biological sequence analysis and variant effect prediction using natural language. The 14B parameter model performs within one point of the proprietary GPT-6.1 Sol on DNA benchmarks at more than 1,000 times lower inference costs. Carbon-X was trained on more than 300B tokens of genomic data and 300k supervised and reinforcement learning samples." --- # Carbon\-X 14B Model Matches GPT\-6\.1 Sol in DNA Tasks at Lower Cost > [Open the canonical story]() **Published:** 2026-11-01T15:37:49.000Z **Category:** Models **Topics:** llm ## Summary Carbon\-X is an open\-weights AI tool that performs biological sequence analysis and variant effect prediction using natural language\. The 14B parameter model performs within one point of the proprietary GPT\-6\.1 Sol on DNA benchmarks at more than 1,000 times lower inference costs\. Carbon\-X was trained on more than 300B tokens of genomic data and 300k supervised and reinforcement learning samples\. ## Sources - [Story source]() - [Story source]() - [Supporting source]() - [Story source]()