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Wednesday8 items

  1. Google DeepMindFirst-partyModel releases
    AI score81

    Google DeepMind releases Gemini 3.8 Flash and 3.8 Flash Cyber

    Google DeepMind has released Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, aimed at trusted defenders, calling them its most capable reasoning and coding models to date, with speed and cost comparable to 3.7 Flash. 3.8 Flash surpasses most larger frontier models on DeepSWE v1.1, scores 54.9% on HLE-Verified, and performs more reasoning steps and iteratively calls tools on complex tasks. 3.8 Flash Cyber reaches frontier-level performance on CyberGym, with an internal vulnerability-discovery benchmark success rate exceeding 70% across 20 programming languages, and a CWE-Bench patch pass@1 of 47.2%.

    #Model releases#Agents#English text is being prepared.

  2. lydiahallieModel releases
    AI score56

    English translation is being prepared.

    Quoted postClaudeDevs · @ClaudeDevs

    It’s ahead of both Fable 5 and Opus 5 across our agentic coding and computer use evals. On Terminal-Bench 4.0 in Claude Code, Fable 5.1 scores 55.8%. Fable 5 scores 42%, and Opus 5 scores 52.3% on the same setup. https://t.co/pFQ9wAFM8Y

    #Model releases#Evaluations / benchmarks#Agents

Tuesday2 items

Saturday1 items

Friday3 items

  1. Tencent HunyuanFirst-partyModel releases
    AI score73

    Tencent Hunyuan releases Hy4 preview, 770B parameters, 49B activated, 1M context

    Tencent Hunyuan releases Hy4 preview, with 770B total parameters, 49B activated, and support for 1M context, positioned for productivity scenarios and the open-source frontier, and emphasizing stable and affordable pricing. The official announcement also provides blog, Hugging Face, and GitHub entry points, and invites users to give feedback on issues.

    #Model releases#Open-source ecosystem#English text is being prepared.

  2. Ant Ling: Developer BlogFirst-partyModel releases
    AI score60

    Ant Ling releases finance-enhanced model Ling-3.0-flash-Fin

    Ant Ling releases its first finance-enhanced model, Ling-3.0-flash-Fin, which continues the Ling-3.0-flash architecture, maintaining 124B total parameters and 5.1B activated parameters. Through continued pre-training on financial corpora, domain post-training, and tool-use optimization, it strengthens the handling of complex financial content such as annual reports and financial workbooks. The model was tested on benchmarks including FinFIRST, FinSearchComp Verified, Finance Agent, APEX-Agents, SpreadsheetBench, and τ³-Banking, with its AA Intelligence Index v4.1.1 score rising from 38 to 41. The model will offer a one-month limited-time free API on OpenRouter, and its weights will be open-sourced next week.

    English text is being prepared.

    #Model releases#Agents#Reasoning

Thursday8 items

Wednesday3 items