#coding
5 articles
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MiniMax M2.7: Claude와 GPT를 훨씬 저렴한 비용으로 능가하는 자기 진화형 AI 모델
MiniMax M2.7은 자기 개선 기능을 갖춘 차세대 플래그십 텍스트 모델로, SWE-Pro에서 56.22%, 100 TPS 속도, 입력 토큰당 $0.30/M을 제공합니다. 벤치마크, 가격, 에이전트 기능에서 M2.7과 Claude Opus 4.6, GPT-5, Gemini 3.1을 비교해 보세요.
6 분 소요
Claude Sonnet 5: Anthropic의 Fennec 모델에 대해 알아야 할 모든 것
Claude Sonnet 5(Fennec)가 획기적인 82.1% SWE-Bench 점수, 100만 토큰 컨텍스트, Opus 4.5의 절반 비용으로 출시되었습니다. 알아야 할 모든 내용을 소개합니다.
5 분 소요
GPT-5.3 Garlic: OpenAI의 차세대 모델에 대해 알아야 할 모든 것
GPT-5.3 'Garlic'는 400K 컨텍스트, 128K 출력, 고밀도 학습을 특징으로 하며 GPT-6 수준의 추론을 더 빠르고 저렴한 패키지로 압축한 것으로 알려져 있습니다.
6 분 소요
Kimi K2.5: Moonshot의 시각 에이전트 모델에 대해 알아야 할 모든 것
Kimi K2.5는 Moonshot AI의 오픈소스 1T 파라미터 모델로 Agent Swarm 기술, 256K 컨텍스트, 멀티모달 기능을 갖추고 있습니다. 완전한 분석을 확인하세요.
7 분 소요
DeepSeek V4: 다가오는 코딩 AI 모델에 대해 알아야 할 모든 것
DeepSeek V4는 2026년 2월에 혁신적인 코딩 기능과 함께 출시될 예정입니다. 아키텍처, 기능 및 벤치마크에 대해 알아보세요.
5 분 소요