Moonshot AI опубликовала открытые веса Kimi K3 — модели с 2,8 триллиона параметров. В извлечённых данных она заняла первое место в крупном лидерборде по кодингу.

Компания Moonshot AI 27 июля выпустила открытые веса модели Kimi K3 — модели с 2,8 триллиона параметров. По извлечённым данным, она заняла первое место в крупном лидерборде по кодингу, обойдя Claude Fable 5 и другие передовые системы. Для дата- и софтверных команд это означает возможность самостоятельно разместить у себя специалиста по кодингу фронтирного уровня с нулевой стоимостью за токен.

Источники 1
  • Moonshot AI выпустила открытые веса Kimi K3 KDnuggets
    🤖 AI Weekly Digest
    📅 Week of Jul 21–Jul 27, 2026
    ━━━━━━━━━━━━━━━━━━━━━━━━
    
    1. 🧠 Claude Opus 5 Arrives as Anthropic's New Frontier Model
    Anthropic released Claude Opus 5 on July 25, its most capable model yet — benchmarks show it outperforms GPT-5.6 Sol on FrontierCode 1.1 with a higher mergeability score at lower rollout cost. For developer and data teams, Opus 5 excels at long-horizon agentic coding tasks, complex reasoning chains, and multi-step pipeline orchestration, making it a strong upgrade for AI-assisted engineering workflows.
    🔗 Claude Opus 5 vs GPT-5.6 Sol: Frontier Analysis
    
    ━━━━━━━━━━━━━━━━━━━━━━━━
    
    2. 🇨🇳 Kimi K3's 2.8-Trillion-Parameter Open Weights Drop Today
    Moonshot AI released the open weights for Kimi K3 today (July 27) — a 2.8-trillion-parameter model that topped a major coding leaderboard against Claude Fable 5 and other frontier systems. Data and software teams can now self-host a frontier-caliber coding specialist with zero per-token cost, making it a compelling choice for high-volume code generation and autonomous agent workloads.
    🔗 Moonshot AI Releases Kimi K3, the Largest Open-Source Model Ever
    
    ━━━━━━━━━━━━━━━━━━━━━━━━
    
    3. ⚡ DeepSeek V4 Reaches Stable Release
    DeepSeek V4 hit its stable release on July 24, ending the preview churn that had kept cautious enterprises from committing production workloads to it — it remains the price floor of the frontier at roughly $0.44 per million output tokens. For engineering and data teams, the stable tag means it's now safe to wire V4 into production pipelines, CI workflows, and cost-sensitive inference tiers where quality-per-dollar matters most.
    🔗 Open-Weight Countdown: DeepSeek July 24, Kimi K3 July 27
    
    ━━━━━━━━━━━━━━━━━━━━━━━━
    
    4. 🔮 Google Ships Gemini 3.6 Flash and Two New Flash Variants
    Google released Gemini 3.6 Flash alongside Gemini 3.5 Flash-Lite and Gemini 3.5 Flash Cyber this week — a cluster of faster, cheaper models filling the gap while its delayed flagship Gemini 3.5 Pro continues to slip. For developers, these Flash-tier models offer low-latency, low-cost inference well-suited for RAG pipelines, summarization endpoints, and real-time agent sub-tasks that don't need frontier-level reasoning.
    🔗 Gemini 3.6 Flash on LLM Stats
    
    ━━━━━━━━━━━━━━━━━━━━━━━━
    
    5. 🔐 Sakana AI Releases Fugu-Cyber: AI-Native Security Scoring 86.9% on CyberGym
    Sakana AI launched Fugu-Cyber, a security-tuned endpoint on its Fugu orchestration model, reporting 86.9% on CyberGym and 72.1% on CTI-REALM — edging past GPT-5.5-Cyber and Claude Mythos Preview. For security engineers and platform teams, Fugu-Cyber is a purpose-built AI tool for vulnerability triage, threat intelligence processing, and autonomous red-team reasoning that can slot into existing security pipelines.
    🔗 Sakana AI Releases Fugu-Cyber
    
    ━━━━━━━━━━━━━━━━━━━━━━━━
    💡 Stay ahead. Stay curious.
    
    For More: @kdnuggets @datasciencechats