DeepSeek-V4 Flash 0731, at $0.10 per rollout, is the cheapest model on the DeepSWE board and, when used first with escalation to GPT-5.6 Luna on failure, solves 78.9% of tasks at $0.385 each—more accu…
Moonshot AI released Kimi K3, a 2.8-trillion-parameter open-weights model, the largest open-weight model ever released and the first open-source model in the 3-trillion-parameter class, designed for l…
Together AI introduced autoscaling for Dedicated Model Inference endpoints, allowing deployments to scale based on inference-native metrics such as in-flight requests, TTFT, GPU utilization, and token…
Together AI introduces ThunderAgent, a system for high-throughput agentic inference that achieves up to 2.5× higher single-node throughput and 2.4× speedup on an 8-node cluster with near-linear scalin…
Together AI announced a strategic partnership with Moonshot AI to become the launch platform for Moonshot's open-weight models, starting with Kimi K3, a 2.8 trillion parameter sparse Mixture-of-Expert…
Cursor and Together AI have deployed real-time, low-latency inference for Cursor's AI-powered coding platform using NVIDIA Blackwell GB200 NVL72 and HGX B200 hardware, achieving predictable worst-case…
Together AI's dedicated model inference platform uses a three-part resource model of endpoints, deployments, and configs with capacity-aware traffic routing that splits requests proportionally to each…
Kimi K3 edges GPT-5.6 Sol on pass@4 (89.4% vs 85.8%) and costs 64% less per rollout ($4.65 vs $8.37), but GPT-5.6 Sol leads on pass@1 (72.7% vs 68.5%) and reliability (61 tasks solved on all four trie…
Kimi K3 matches Claude Fable 5 on DeepSWE benchmark quality with a 68.5% pass@1 versus Fable's 69.9%, but costs $4.65 per rollout compared to Fable's $13.41, delivering 2.8x more solved tasks per doll…
Together AI released a significant update to its inference platform, giving users complete control over performance, cost, and quality without building their own stack. The platform supports open-weig…
Together AI and Y Combinator have partnered to launch the first dedicated GPU cluster for Y Combinator's portfolio of AI-native startups, providing flexible, short-term access to compute at long-term …
Together, which runs inference for Cursor, Decagon, Cartesia, and Yutori, explains that 99.9% inference uptime requires surviving a full data center failure through multi-DC deployment with live traff…
Thinking Machines Lab released Inkling, a new multimodal mixture-of-experts model for token-efficient reasoning and native multimodal understanding, and Together AI made it available on its inference …
Together AI has shipped a set of changes to Together GPU Clusters focused on platform health and operational control, including passive health checks, auto node repair, and Together Slurm-on-K8s 2.0. …
Together AI launched Provisioned Throughput, a new inference service offering reserved capacity for open-weight models with token-based pricing and a 99% uptime SLA, available for MiniMax M3 and GLM-5…
Together AI announced an $800 million Series C funding round led by Aramco Ventures, NVIDIA, and others to accelerate open-source AI development. The company plans to use the capital to expand compute…
Together AI presented eight papers at ICML 2026 spanning the full AI stack, from frontier agents to GPU kernels. Their research includes DSGym for standardized data-science agent evaluation, ThunderAg…
Frontier LLMs including GPT-5.5, Gemini 3 Pro, and Opus 4.7 failed to correctly solve over two-thirds of problems in ParallelKernelBench, a new benchmark for multi-GPU kernel generation. The benchmark…
An experiment comparing Kimi K2.7 Code and Claude Fable 5 across 12 landing pages found that Kimi cost 94% less while achieving similar quality scores. The open-source model was roughly 16 times cheap…
Together AI has earned ISO 27001:2022 certification from A-LIGN Compliance and Security, Inc., confirming its Information Security Management System meets the latest international standard for informa…