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  1. Story16 reports · 2 facts

    Mistral releases Large 4 weights on Hugging Face

    On October 29, 2026, Mistral released the open weights of Mistral Large 4 (Le Chonk), a 1-trillion-parameter native multimodal model that continues reinforcement learning on the basis of the preview version, with improved coding and defensive cybersecurity capabilities. According to data published by Mistral AI, the model scores 19.7% on FrontierCode 2.0 and 48% on the Artificial Analysis Coding Agent Index, roughly on par with GLM-5.3, but uses an average of 47% fewer tokens per task; on Terminal-Bench 4.0 it improves by 13 percentage points to 41%. The model supports three reasoning modes, uses a modified MIT Mistral Ecosystem Open-Weight license, and is priced at $0.70 per million input tokens, $0.07 for cached input, and $2.10 for output via API. On the same day, Unsloth released a 1-bit GGUF quantized version of the model, stating that it can run locally on a Mac Studio, retains 91% top-1 accuracy after quantization, and provides a download link and usage guide.

    odal model that continues reinforcement learning on the basis of the preview version, with improved coding and defensive cybersecurity capabilities. According to data published by Mistral AI, the model scores 19.7% on FrontierCode 2.0 and 48% on the Artificial Analysis Coding Agent Index, roughly on par with GLM-5.3, but uses an average of 47% fewer tokens per task; on Terminal-Bench 4.0 it improves by 13 percentage points to 41%. The model supports three reasoning modes, uses a modified MIT Mis

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Sunday

  1. Story2 reports · 1 facts

    Tech.eu reports European tech funding rebounded to €27.8 billion

    On October 21, 2026, Tech.eu released a report stating that in the third quarter of 2026, European tech companies completed a total of 732 deals and raised €27.8 billion. The report shows that this figure represents a 32.4% increase from €21 billion in the same period of 2025, and is more than double the €11 billion in the same period of 2024. The large deals listed in the report for the quarter include Mistral AI's €3 billion, Nscale's two rounds of approximately €2.95 billion and €2.59 billion, Helsing's €1.58 billion, and Quantum Systems' €1.05 billion, for a total of five deals exceeding €1 billion; Nscale raised approximately €6.3 billion across three rounds in the quarter. By sector, AI companies raised €6.7 billion and cloud companies €6.4 billion, together accounting for about 47% of the quarter's total. By country, the United Kingdom accounted for about 43% with nearly €12 billion across 188 deals, Germany about €4.9 billion, and France €4 billion. Currently, this report is the only source, and there are no subsequent developments.

    rease from €21 billion in the same period of 2025, and is more than double the €11 billion in the same period of 2024. The large deals listed in the report for the quarter include Mistral AI's €3 billion, Nscale's two rounds of approximately €2.95 billion and €2.59 billion, Helsing's €1.58 billion, and Quantum Systems' €1.05 billion, for a total of five deals exceeding €1 billion; Nscale raised approximately €6.3 billion across three rounds in the quarter. By sector, AI companies raised €6.7 bil

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Wednesday

  1. Story3 reports · 1 facts

    Mistral and NVIDIA partner to develop AI-native engineering workflows

    On October 21, 2026, Mistral and NVIDIA announced a partnership to develop AI-native engineering workflows, combining Mistral Large 4 with NVIDIA CUDA-X, Warp, and Omniverse to accelerate engineering simulation and close the loop between simulation, model development, and design. The two parties also plan to launch public benchmarks and open datasets for physical models, and to establish evaluations for agentic AI in CAE and EDA scenarios, examining tool calling, multi-step process completion, and execution time and compute cost. According to information released by Mistral AI, Mistral Large 4 has approximately 1 trillion total parameters and 49 billion activated parameters, was trained on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's data center in Europe, and the weights are planned for release at the end of October. The Decoder reported the same day that the partnership targets industries including aerospace, automotive, and semiconductors, and that Mistral plans to expand compute to 1 gigawatt by 2030. There is currently no further progress.

    aluations for agentic AI in CAE and EDA scenarios, examining tool calling, multi-step process completion, and execution time and compute cost. According to information released by Mistral AI, Mistral Large 4 has approximately 1 trillion total parameters and 49 billion activated parameters, was trained on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's data center in Europe, and the weights are planned for release at the end of October. The Decoder reported the same day that the partnership target

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