Kimi K3 is now live on Together AI. We’re proud to be a Day 0 launch partner for
@Kimi_Moonshot’s open frontier model, built for long-running agentic workflows across code, tools, vision, and research.
DeepSeek V4 Pro 0813 is live on Together AI
DeepSeek’s flagship V4 Pro release brings a 1.6T MoE architecture, 1M context, and three reasoning modes for coding, agents, and complex reasoning.
Yutori's browser-use agents run in tight loops: screenshot, action, repeat, dozens of times per task.
On Together AI, their Navigator model beats frontier performance at 2x faster inference and 4-5x lower cost.
We analyzed DeepSeek-V4 Pro 0813 against GPT-5.6 Sol and Fable 5 on software engineering tasks using DeepSWE.
DeepSeek-V4 Pro 0813 reaches 88.5% pass@4 while costing $0.24 per task, 35x less than Sol and 90x less than Fable.
More insights in the thread 👇
head-to-head: DeepSeek-V4 Pro 0813 vs. GPT 5.6 Sol vs. Fable 5
on software eng/DeepSWE tasks
> Accuracy pass@4: 88.5% DS-V4 Pro beats both Fable and Sol
> Cost: DS-V4 Pro is also 35x/90x cheaper than Sol/Fable at $0.24 per task
unreal numbers tbh... full deep-dive 🧵(1/n)
Open source is closing the gap with closed labs, and fast.
At ICML, @tri_dao broke it down: open models are now just months behind on quality, and the serving stack (kernels, inference engines, speculative decoding) keeps compounding.
Full clip 👇🏻