DeepInfra's Kimi K2 0905 API is optimized for agentic and coding workflows, offering a long-context Mixture-of-Experts model capable of handling up to 256,000 tokens, making it suitable for large codebases and long conversations. The API's real-world performance depends on various factors, including infrastructure and provider precision, influencing speed, latency, and cost. Independent benchmarks from ArtificialAnalysis.ai highlight DeepInfra's competitive positioning, with a Time to First Token (TTFT) of 0.33 seconds, placing it second overall behind Groq but ahead of competitors like Together.ai, Parasail, and Fireworks. DeepInfra is praised for its consistent performance, offering a stable TTFT variance that ensures reliable user experience even under bursty loads. The API's pricing is competitive, with DeepInfra charging $0.50 per million input tokens and $2.00 per million output tokens, offering a cost-effective solution compared to other providers. The article's analysis of end-to-end response time versus price indicates DeepInfra's value proposition, providing a balance between cost and latency, making it an attractive choice for developers looking to implement Kimi K2 0905 into production. Independent validation from OpenRouter supports DeepInfra's favorable latency and throughput performance, reinforcing its position as a balanced choice for deploying the Kimi K2 0905 model.