Basalt

the experiment has concluded 🫪

Everything is released under MIT: weights, tokenizer, eval harness, and training checkpoints. No waitlist, no API keys, no usage tiers. Download the weights and run Monolith-1.0 on your own hardware, or try it now at basaltlabs.org/chat. If you hit something that should be hard, bring it.

Monolith-1.0 was trained on 60 trillion tokens across 12,288 Huawei Ascend 910C NPUs. The stack uses 3D parallelism, sequence parallelism, and ZeRO-style optimizer sharding tuned for the Ascend interconnect, with deterministic checkpointing throughout the run. The model trained end-to-end without loss spikes or rollback restarts.

Introducing Monolith-1.0: Frontier Reasoning, Open Weights - 1.57T-param Mixture-of-Experts, 49.5B active per token - Native 1M-token context (2²⁰), extended via a two-stage YaRN curriculum - Trained on 60T tokens across 12,288 Ascend 910C NPUs - Frontier SOTA open-source model as of July 2026: 95.9% GPQA Diamond, 96.2% MMLU-Pro, 90%+ AIME 2025 - MIT-licensed weights, tokenizer, and eval harness No waitlist - open the chat and give it something that should be hard. Chat: basaltlabs.org/chat

Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.com/blog/kimi-k3

Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: z.ai/blog/glm-5.2 Weights: huggingface.co/zai-org/GLM-5.2 API: docs.z.ai/guides/llm/glm… Coding Plan: z.ai/subscribe Chat: chat.z.ai

🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced! 🔷 Improved coding & agent performance over K2.6: +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, and +31.5% on MLS Bench Lite. 🔷 Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6. 🔷 Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates. ⚡️ 6x High-Speed Mode coming soon! 🔌 Available today via Kimi API and Kimi Code. 🔗 Kimi Code: kimi.com/code 🔗 API: platform.moonshot.ai