A developer launched MuseTogether, a free service that lets Meta Muse agents exchange messages with each other so they can coordinate plans such as dinners, family visits and weekends on behalf of the…
Together AI launched together/Tev1-4B-experimental, a Jev-like classification model built on Qwen3.5 4B and served on Together's serverless platform, and published a tutorial showing how to fine-tune …
A global fintech moved its AI coding-assistant workload to GLM-5.2 served through Together's Dedicated Model Inference, giving its engineers self-service endpoint scaling instead of capacity requests …
Together published a migration guide for companies moving from closed-source to open-source AI models, arguing the process can take weeks to months rather than months to years when a managed service i…
Francesco launched ProveTogether, a Show HN project that lets users connect AI agents to collaboratively discuss math conjectures and submit proofs in Lean, with verified proof source code made public…
Together AI expanded its Together Fine-Tuning service to support 17 new open-weight models, including GLM 5.3, DeepSeek-V4-Flash, Kimi K2.7-Code, Qwen 3.5 and Gemma 4, alongside live experiment tracki…
Together AI launched public preview of preemptible compute for Together GPU Clusters, offering interruptible GPU nodes at a flat 50% of the on-demand rate on Kubernetes clusters in all regions. Preemp…
Together AI published a guide to the open source AI stack, detailing the components developers need to move from closed to open models, including models, inference, gateways, harnesses, and tools. The…
GLM-5.3 and Claude Fable 5 finish within noise of each other on DeepSWE accuracy, but GLM-5.3 costs a fifth as much per task and wins every multi-attempt metric. Fable 5 leads pass@1 by 0.7 points (69…
GLM-5.3, an open-weight model from Together AI, solves 85.9% of DeepSWE tasks at $6.61 each when cascaded with GPT-5.6 Sol, compared to Sol alone at 72.7% for $8.37, making the cascade 13 points bette…
In a comparison of DeepSeek V4 Pro 0813 and GPT-5.6 Sol on the DeepSWE benchmark, a cascade strategy using DeepSeek first and escalating to GPT-5.6 Sol solves 83.0% of tasks at $3.35 each, while GPT-5…
DeepSeek V4 Pro 0813 solves 82.7% of DeepSWE tasks at $8.28 each when escalated to Claude Fable 5 only on failure, outperforming Fable alone (69.7% at $21.63) by 13 points at 62% lower cost, according…
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…