Signal
14 articles covering "open-weight"
Beam and Ripple-65B list Apache 2.0, Muse Spark Open adds a $20 million Model-as-a-Service condition, and SWE-2 Flash keeps its weights private; each benchmark table is the vendor's own, run with differing setups.
Ricursive Intelligence released Ripple-65B Preview, a 65B dense model listed under Apache 2.0, reporting 80.52 on Terminal-Bench 2.1; VentureBeat notes mixed results elsewhere and conflicting figures.
Moonshot AI released Kimi K3.1 Pro weights on Hugging Face under a license with a $20 million Model-as-a-Service revenue condition; two published index scores differ.
Four recent releases place limits on model use in different layers: a product prompt, API-side safeguards, account-level access programs and staged rollouts. Reports attribute the key figures to the vendors.
Mistral released Mistral Large 4 weights under a modified MIT license with a commercial-license condition for Model-as-a-Service operators; Artificial Analysis scores it 26.
IBM published granite-speech-5.0-2b and revised versions of granite-speech-5.0-470m-turboctc and granite-speech-4.1-2b-plus, all Apache 2.0, with IBM-reported leaderboard and error-rate figures.
The Apertus project's 1.5 release adds image and audio understanding, an optional thinking mode and a 262,144-token window to its 8B and 70B open models, under Apache 2.0.
dmis-lab's Oct 14 UltraBERT post lists Apache 2.0 encoders at 150M and 380M with 32K context; benchmark claims, including MTEB, are the authors' own.
A Hugging Face blog post dated October 8, 2026 describes open-weight OCR models that add labeled bounding boxes; the authors report 86.3 on olmOCR-Bench for the 4B model.
Mistral AI launched Mistral Large 4, a 1-trillion-parameter multimodal model with 49 billion active parameters, in public preview, with open weights promised after safety testing.
Aleph Alpha published Kolibri on Hugging Face on October 3 under Apache 2.0; its own tech report puts the model on the quality-versus-serving-cost Pareto frontier.
Xiaomi's MiMo-V2.6-Pro scored 46 on Artificial Analysis' Intelligence Index, the top open-weight result, with MIT-licensed weights and low API pricing.