The latest AI news and updates of Cohere — AI company building enterprise models for search, RAG, and business applications. Covering Cohere's latest launches, product updates, and company news from the past 90 days.
CohereSep 10Cohere released North Small Translate, an open-weights sparse Mixture-of-Experts model specialized for machine translation across 50 languages. It achieves an 83.6 score on the WMT benchmark, outperforming DeepL and Google Translate. The model is available on Hugging Face under a non-commercial CC BY-NC 4.0 license, with several quantizations provided for research use.
CohereSep 8Cohere launched an open-source serving engine built around a decode megakernel, achieving up to 1.58x faster performance than vLLM for the North Mini Code model on a single H100. The system fuses the entire decode step into a single kernel launch to maximize GPU utilization. It delivers 1.25x to 1.41x faster end-to-end throughput at batch size 8.
CohereSep 4Cohere Labs released the Agentic Task Ecosystem, a dataset of 690,000+ tools from 123,000+ public Model Context Protocol servers. Testing reveals that only 2.6% of these tools independently complete an occupational task end-to-end. This research indicates that AI is shifting how work is divided between people and machines rather than simply replacing existing job roles.
CohereAug 27Cohere launched Parse 5, a document parsing model for high-volume enterprise tasks. It scores 79.2 on ParseBench, outperforming Mistral OCR 4, Databricks AI Parse, and Azure Document Intelligence. Priced at $1.50 per 1,000 pages, the model extracts text, tables, forms, and images with bounding boxes. It is available via the Cohere API, AWS Sagemaker, and Microsoft Foundry.
CohereAug 12Cohere integrates North Micro Vision with three partner frameworks to support fine-tuning and deployment. Axolotl provides no-hardware fine-tuning, the MLX community enables inference on Apple devices, and NVIDIA NeMo AutoModel offers a recipe for GPU-based fine-tuning. These integrations support document understanding use cases on a variety of edge devices.
CohereAug 12Cohere released North Micro Vision, a 2.4B-parameter open-weight vision-language model designed for document understanding and visual Q&A. The model supports native-resolution image processing and is available under an Apache 2.0 license on Hugging Face. It outperforms Gemma 4 E2B and Ministral 3 3B across a range of visual understanding benchmarks.
CohereJul 31Cohere signed the EU Code of Practice on Transparency of AI-Generated Content, becoming one of the first companies to do so. This commitment supports compliance with Article 50 of the EU AI Act by implementing machine-readable marking for AI-generated content and prohibiting the removal of provenance metadata. These transparency obligations become enforceable on August 2, 2026.
CohereJul 29Cohere makes its open-source Transcribe speech model available within the Superwhisper app. The integration provides push-to-talk transcription that functions offline and supports specialist vocabulary recall. This addition allows Superwhisper to process audio directly on local hardware using Cohere’s speech recognition technology.
CohereJul 27Cohere launched North Automations, a workflow orchestration feature for its North platform. The tool translates plain-language descriptions into multi-step agentic workflows, featuring model routing per step, human-in-the-loop approvals, and governance analytics. North Automations is available today to all North customers, providing centralized control over agentic AI deployments across the enterprise.
CohereJul 26Cohere reports that its open-source models Transcribe, Command A+, and North Mini Code have surpassed 3.4 million downloads this year. All three models are available under the Apache 2.0 license. Monthly adoption has climbed steadily, with downloads reaching 1.1 million in July alone.
CohereJul 7Cohere released Cohere Transcribe Arabic, a 2B-parameter open-source automatic speech recognition model. The model supports Arabic and English, including dialect-rich and code-switched audio. It outperforms existing models like Whisper on the Open Universal Arabic ASR Leaderboard, achieving higher transcription accuracy in human preference tests. The model is available under an Apache 2.0 license on Hugging Face.
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