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  • Small coding models on Terminal-Bench 2

    Frontier models get most of the headlines, but the more interesting race is happening one tier down. Here’s how open-weight and smaller models stack up on Terminal-Bench 2.0, via Alibaba’s public leaderboard.

    Benchmark Comparison

    Small Coding Models

    Terminal-Bench 2.0 · Alibaba Leaderboard

    Source: Alibaba Cloud Terminal-Bench 2.0 leaderboard. All Qwen3.5 MoE models use activated parameter counts (A-suffix). K2.5-1T-A32B is a 1T-parameter sparse MoE from Moonshot AI with 32B active parameters.

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  • Opus 4.6 vs ChatGPT Codex 5.3

    A comparison of benchmark metrics between Opus 4.6 and Codex 5.3 models.

    Anthropic and OpenAI both recently published Terminal-Bench 2.0 results, but in separate charts and a table. I wanted the full picture, so I combined them.

    Benchmark Comparison

    Agentic Coding

    Terminal-Bench 2.0

    Note: All OpenAI models shown at xhigh compute setting. GPT-5.2-Codex appears twice — 64.7% as reported by Anthropic, 64.0% as reported by OpenAI.

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  • I Built a Desktop Audio Converter With Claude Code

    I’ve been meaning to build this app, and I actually started around this time last year. But after learning how to “code” or build with AI coding agents like claude code, I just gave it this prompt:

    plan how to complete this app. it should allow one or multiple files to be selected or dragged (audio only) and then it should show a box to select which format to convert to e.g mp3, wav, aac,ogg, flac,m4a, mp4) plus certain options that come from ffmpeg to compress the file

    It wrote this comprehensive plan. And the it went for it. I asked a small question to fix a small UI color issue. And voila!

    A(I) built Audioslim, a native macOS app that converts audio between MP3, WAV, AAC, OGG, FLAC, M4A, and MP4. I built it with claude code, Anthropic’s AI coding assistant for the terminal.

    screenshot

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