Kimi K2.6 is Now Available on DeepInfra
Blog post from 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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 5 | 5,932 | 1,046 | 223 | -2% |
| Multi-agent systems | 1 | 460 | 170 | 68 | -20% |
| Vector Search | 1 | 1,739 | 413 | 146 | -27% |
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