Kimi K2.6 is Now Available on DeepInfra

Kimi K2.6, a highly capable Mixture-of-Experts model released by DeepInfra, is designed for advanced agentic systems, boasting 1 trillion parameters with only 32 billion activated per token, thus optimizing inference costs while maintaining performance. It features a 256K-token context window, native multimodal support via a 400M-parameter vision encoder, and excels in long-horizon coding and complex orchestration tasks, outperforming models like GPT-5.4 in benchmarks such as DeepSearchQA and SWE-Bench Pro. As an open-source model available under a Modified MIT license, Kimi K2.6 supports JSON output and function calling, providing flexibility in deployment without vendor lock-in. DeepInfra offers straightforward pricing and zero-retention policy, making it a practical choice for developers seeking to implement robust autonomous coding pipelines and research-heavy workflows.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.