Release7d ago
Mistral releases the open weights of Mistral Large 4 "Le Chonk": a 1T-total, ~52B-active multimodal MoE that Mistral says leads open models on FrontierCode 2.0
On Oct 29 Mistral released an improved Mistral Large 4 (Le Chonk) with open weights on Hugging Face (plus an NVFP4 quantized checkpoint), served on its API as mistral-large-4. After about three more weeks of reinforcement learning since the early-October preview, Mistral reports 19.7% on FrontierCode 2.0, Terminal-Bench 4.0 up from 28% to 41%, and new low/medium/high reasoning modes. The license is a modified MIT that allows commercial use, but running a model-as-a-service business needs a separate commercial license.
Release20d ago
DeepSeek ships V4.1-Flash-1017: MIT open weights, live on web, app and API at unchanged prices, DeepSWE 77.0 (vendor-reported), plus public Search/Fetch APIs
On Oct 17 DeepSeek upgraded V4.1 Flash to V4.1-Flash-1017 across web, app and API (deepseek-flash, same call and price) and published MIT-licensed weights on Hugging Face and ModelScope. Vendor-reported DeepSWE v1.1 rises from 74.2 to 77.0 and Terminal-Bench 4.0 from 31.2 to 42.3, with shorter runtimes and outputs. It also opened Search/Fetch APIs backed by its in-house search engine at $0.75 per 1,000 calls.
Release6d ago
SenseTime open-sources SenseNova-Loop-9B-Preview, a 9B looped Transformer with about 14.6B inference parameters for long-context and agentic work
On Oct 30, SenseTime released SenseNova-Loop-9B-Preview (Apache 2.0) on its official X account and Hugging Face. It runs layers 4 to 27 of a 32-layer decoder twice with the same weights, so each forward pass executes 56 layer computations while storing about 9B parameters, about 14.6B at inference, and it uses two-stream mHC (manifold-constrained hyper-connections) to manage the residual streams. It takes text and images, with training sequences up to 262,144 tokens. SenseTime charts show it beating Qwen3.5 and Qwen3.6 peers on BIRD-Dev, WorkBuddy Bench, and other agent and data tasks, while it still trails on Terminal Bench 2.1; the technical report is not out yet. The official launch post drew about 910 likes.
Discussion & Comments
0Sign in to join the discussion
Connect with AI developers to exchange benchmark insights.