Mistral's new agent proofs your code on the cheap
…According to Mistral, Leanstral-120B-A6B outperforms larger (more parameters) open source rivals like GLM5-744B-A40B, Kimi-K2.5-1T-32B, and Qwen3.5-397B-A17B on FLTEval. But perhaps more…
Tracked topic
Kimi K2 is a large language model service associated with the Kimi series, also referenced as kimi 2.6 or kimi k2.6.
…According to Mistral, Leanstral-120B-A6B outperforms larger (more parameters) open source rivals like GLM5-744B-A40B, Kimi-K2.5-1T-32B, and Qwen3.5-397B-A17B on FLTEval. But perhaps more…
…May 19, 2026 Further Accelerating Kimi-K2.5 on AMD Instinct™ MI325X: W4A8 & W8A8 Quantization with AMD Quark — ROCm Blogs Quantize Kimi-K2.5 to W4A8 and W8A8 using AMD Quark and…
…Each of the top ten finalists will be awarded $10K prize money and opportunities to win the Grand Prizes. Track 1 – DeepSeek‑R1‑0528 Grand Prize: $350,00 Track 2 – Kimi K2…
…Of these, GLM 5.1 scored the highest, followed by Kimi K2.6. You can see the full rankings on Google’s website . Google continues to update the “Android Bench” on a…
DeepSeek V4 Pro and Flash vs. Claude Opus 4.7 and Kimi K2.6
We Tested DeepSeek V4 Pro and Flash Against Claude Opus 4.7 and Kimi K2.6
As the title states, my build is indeed able to run a 1 trillion parameter model (in this case Kimi K2.5) locally at ~4 tokens/second. I thought r/LocalLLaMA would be interested in the build due to that stat line, and al…
Saw this post comparing Qwen 3.6 variants on coding primitives, so I wanted to see how local quants stack up against frontier models on a similar dense, single-file coding task. I ran the exact same prompt across local a…
…leaderboard -- GPT-5.4 climbs from rank 6 to rank 3 after SV adjustment, while Kimi-k2.5-1T-A32B drops seven positions.Industrial LLM evaluation therefore requires source-grounded, safety-aware…
…Z.ai’s GLM-4.7, Moonshot AI’s Kimi K2.5, and DeepSeek-V3.1. They were not able to say why the models went against their training in this way…
…Even with 256 chips per rack, that's only 128 GB of ultra fast memory, which is nowhere near enough for trillion-parameter models like Kimi K2. At 4-bit precision you…
…As we described in our Kimi K2.5 launch post , we have a security agent that processes over 7 billion tokens per day on Kimi. That would cost an estimated $2.4M…
…models (GPT 5.2, Gemini 3 Flash & Pro, Claude Haiku 4.5, GLM 4.7, Kimi K2.5, and DeepSeek V3.1) in a set of scenarios where an evaluator agent was…
…keep vLLM compatibility while enabling AMD-optimized attention, model execution, and multi-model support including Kimi-K2.5. May 06, 2026 AMD-Powered 3D Gaussian Splatting for Autonomous Driving Scenes — ROCm Blogs…