Chutes (SN64) News

GLM 5.3 is live on Chutes. It's https://t.co/SDMLCirZlc's flagship, built on the same base as GLM 5.2 and retrained for complex coding and long agent runs. 1M-token context, open weights. Here's what to use it for: - security review: on CyberGym, https://t.co/SDMLCirZlc's https://t.co/ooB167PWC9

Kimi K2.7 Code is live on Chutes. Base URL https://t.co/X8XyQ8xgj5 Model moonshotai/Kimi-K2.7-Code Works with any OpenAI-compatible client, same Chutes key. Moonshot built it on K2.6 for coding agents: 1T parameters with 32B active per token, a 256K context and open weights. https://t.co/guuPuRpj8Q

Qwen3.8 Max is live on Chutes. It's Qwen's 2.4T-parameter flagship, with a 1M-token context, built for coding and long agent tasks. Here's what to use it for: - reproducing a paper: on PaperBench, Qwen's published score is 93.0, ahead of GPT 5.6 Sol at 90.5 and Fable 5 at 88.8 https://t.co/bW3VemSDHH

Cheap inference gets expensive when it fails. @OpenRouter has begun routing more traffic toward fast, reliable inference pushing providers to compete on quality. As a provider, we welcome the competition.

An open model now sits a tenth of a point behind Fable 5 at coding in a terminal. That's DeepSeek V4 Pro on Terminal-Bench 2.1: 87.9 against Fable 5's 88.0, with Opus 4.8 at 85.0 (DeepSeek's published scores). What to use it for: - a coding agent that runs commands, reads the https://t.co/gZaZ6NSIAQ

DeepSeek V4 Pro is live on Chutes. It's the big one from DeepSeek's V4 family, with 1.6T parameters and a 1M-token context window. Open weights, MIT licence. It's strong on agent work. DeepSeek's published score on Terminal-Bench 2.1 is 87.9, ahead of Opus 4.8 at 85.0. $0.85 https://t.co/0u7TwtNVvb

Chutes is very excited to be working with METANOVA LABS as they develop their Hit-to-Lead optimization agent! We fully intend to assist and support to this project in any way we can as it develops.

Chutes is now live on @say_gm_ SayGM gives you one API key for Claude, GPT, Gemini and open-source models. When you pick one of SayGM’s private models, it can now run on Chutes, inside secure hardware where no one can read your prompts. Not even us. See the full article here: https://t.co/N0R46qbr73