Kimi K2.5 API Benchmarks: Latency, Throughput & Cost
Blog post from Deepinfra
Moonshot AI's Kimi K2.5 is an advanced open-source reasoning model with a Mixture-of-Experts architecture, boasting 1 trillion total parameters and supporting a 256K token context window. This model excels in multimodal reasoning and features a unique "Agent Swarm" technology for decomposing complex tasks. Among its deployment options, DeepInfra emerges as the most cost-effective provider, offering the lowest prices for batch processing and a Turbo tier for high-performance use cases. It stands out for its $0.90 per million tokens blended cost, while Together.ai leads in throughput with 431.1 tokens per second, and Baseten offers the lowest latency at 0.40 seconds. These providers offer varied strengths, allowing developers to choose based on cost-efficiency, speed, and latency needs, with DeepInfra being recommended for its balance of affordability and performance flexibility.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
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| AI Agents | 1 | 4,430 | 1,100 | 236 | -3% |
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| Vector Search | 1 | 1,739 | 413 | 146 | -27% |
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