Moonshot AI released Kimi K2.5 today, and we integrated it on RouterLab within hours.

Why this matters:

*Open source beats proprietary:* • Kimi K2.5: 50.2% on HLE (Humanity's Last Exam) • GPT-5: 41.7% • Claude 4.5: 32.0%

First time an open-source model beats GPT-5 on expert-level reasoning.

*Agent Swarm architecture:* • Orchestrates up to 100 parallel agents • 1,500 simultaneous tool calls • 4.5x faster than sequential execution • Autonomous task decomposition

Example: "Analyze 50 competitors and create a report" → Creates 50 research agents → Parallel execution → Compiled report in minutes

*Technical specs:* • 1T parameters (32B activated) • 384 experts MoE • INT4 quantization native • 256k context window • Open weights on Hugging Face

*Benchmarks:* • HLE (reasoning): 50.2% (GPT-5: 41.7%) • BrowseComp (web nav): 60.2% (GPT-5: 54.9%) • SWE-Bench (coding): 71.3% • VideoMMMU: 86.6%

*Pricing:* • $0.60/$3.00 per 1M tokens • 5x cheaper than GPT-5

We're a Swiss company (Eyelo SA, founded 1983) and integrated Kimi K2.5 on RouterLab with Swiss/German hosting for GDPR compliance.

OpenAI-compatible API, migration is 2 lines of code:

```python client = OpenAI( base_url="https://routerlab.ch/v1", api_key="your-key" ) I wrote a technical analysis: https://medium.com/@comeback01/kimi-k2-5-the-agent-swarm-rev...

Try it: https://routerlab.ch/blog/kimi-k2-5 (14-day free trial)

Happy to answer technical questions about Agent Swarm, MoE architecture, or deployment!