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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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LLMs1 min read
We ran 904 DeepSWE rollouts on DeepSeek V4 Pro 0813 and Claude Fable 5. Fable leads pass@1 at 90x the cost; Pro wins pass@4, and a Pro-first cascade hits 82.7%.
From Together AI blog
LLMs1 min read
IBM Research has developed ALTK Evolve, a system that achieves comparable performance to models like ACE while utilizing significantly fewer tokens. This reduces operational costs and improves inference speed for agent-based applications.
From Hugging Face blog
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
LLMs1 min read
We ran 900 DeepSWE rollouts on DeepSeek-V4 Flash and GPT-5.6 Luna. Luna leads pass@1 by 14 points; DeepSeek delivers 4.8x the solves per dollar.
From Together AI blog
LLMs1 min read
Kimi K3 is the first open 3T-class model. See how it benchmarks, what it costs, and how to call it on the Together AI API, with copy-paste code examples.
From Together AI blog
LLMs1 min read
We ran 904 DeepSWE rollouts on Kimi K3 and GPT-5.6 Sol. Sol leads pass@1; Kimi K3 wins pass@4 at 2.8x the solves per dollar, and routing between them reaches ~85.6%.
From Together AI blog
LLMs1 min read
We ran 452 DeepSWE rollouts on Kimi K3 and Claude Fable 5. Fable leads pass@1 by 1.4 points; Kimi K3 wins pass@4 and delivers 2.8x the solves per dollar.
From Together AI blog
LLMs1 min read
Run open models in production with full control over performance, cost, and quality. Deploy in minutes, roll out safely, and scale to your SLOs.
From Together AI blog
LLMs1 min read
Provisioned Throughput gives you reserved inference capacity for frontier open models like MiniMax M3 and GLM-5.2. Token-based pricing, a 99% uptime SLA, and up to 90% lower cost than proprietary APIs. No GPU-hour math, no infrastructure...
From Together AI blog
Research1 min read
Google DeepMind has released Nano Banana 2 Lite, a smaller language model, and Gemini Omni Flash, a new flash storage solution optimized for AI workloads. These tools are designed to enable efficient and cost-effective AI development and deployment.
From Google DeepMind blog
LLMs1 min read
From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs
From Ahead of AI (Sebastian Raschka)
AI1 min read
Discover how cloud cost optimization adapts in the age of AI, with best practices for managing spend, improving efficiency, and maximizing value. The post Cloud Cost Optimization: Principles that still matter appeared first on Microsoft ...
From Microsoft Azure AI blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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