DeepInfra raises $107M Series B to scale the inference cloud — read the announcement
Latest articleDeepInfra has raised $107 million in Series B funding to scale its inference cloud, expand global capacity, and support the next generation of open-source and agentic AI workloads.
Published on 2026.04.30 by DeepInfraKimi K2.6 Model Overview: Architecture, Features & CapabilitiesKimi K2.6 is Moonshot AI’s latest flagship open-source model, released on April 20, 2026 under a Modified MIT license. It is a native multimodal agentic model built on a 1-trillion parameter Mixture-of-Experts (MoE) architecture, with 32 billion parameters activated per token. The model is designed for long-horizon coding, autonomous execution, and multi-agent orchestration, and is […]
Published on 2026.04.30 by DeepInfraKimi K2.6 API Benchmarks: Latency, TPS & Cost Analysis (2026)About Kimi K2.6 Kimi K2.6 is an open-source frontier model from Moonshot AI, released on April 20, 2026. It is a native multimodal agentic model built for long-horizon coding, autonomous execution, and swarm-based task orchestration. The model uses a Mixture-of-Experts (MoE) architecture with 1 trillion total parameters and 32 billion activated parameters per token, using […]
Published on 2026.04.30 by DeepInfraKimi K2.6 Pricing Guide 2026: Compare Costs & Deployment StrategiesKimi K2.6 matters because it sits in a rare spot: open weights, broad provider availability, and a real spread in pricing and runtime performance depending on where you buy it. Artificial Analysis tracks the model across nine API providers, with blended pricing ranging from $1.15 to $2.15 per 1M tokens and major differences in throughput […]
Published on 2026.04.30 by DeepInfraKimi K2.6 is Now Available on DeepInfraKimi K2.6 can coordinate up to 300 sub-agents executing 4,000 steps in a single autonomous run — Moonshot AI’s answer to the gap between what frontier models can do in a chat window and what production agentic systems actually need. Built for long-horizon coding, deep research, and complex orchestration, the model is open source under […]
Published on 2026.04.30 by DeepInfraDeepSeek V4 Pro: Model Overview, Features & Performance GuideDeepSeek V4 Pro is a 1.6-trillion parameter Mixture-of-Experts (MoE) model from DeepSeek, released on April 24, 2026 under the MIT license. It is designed for advanced reasoning, complex software engineering, and long-running agentic tasks, and arrives alongside DeepSeek-V4-Flash, a lighter 284B-parameter variant built for faster, lower-cost inference. The V4 series is DeepSeek’s first two-tier lineup […]
Published on 2026.04.30 by DeepInfraDeepSeek V4 Pro (Max) API Benchmarks: Latency, Throughput & Cost AnalysisAbout DeepSeek V4 Pro DeepSeek V4 Pro is a Mixture-of-Experts (MoE) language model with 1.6 trillion total parameters and 49 billion activated parameters, supporting a 1 million token context window. Designed for advanced reasoning, coding, and long-horizon agent workflows, it represents the fourth generation of DeepSeek’s flagship open-weight models. The model introduces a hybrid attention […]
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