---
license: mit
task_categories:
- text-generation
tags:
- llm-router
- latency-benchmark
- token-economics
- deepseek
- qwen
- gemini
- claude
pretty_name: LLM SmartRouter Empirical Latency & Cost Benchmark
size_categories:
- 1K<n<10K
---

# LLM SmartRouter Latency & Cost Benchmark (2026)

Empirical performance benchmark dataset comparing direct model endpoints (OpenAI, Anthropic, Google) against the **PixelRouter / BLUN SmartRouter** proxy layer (`https://api.pixeloffice.eu/v1`).

## Schema
- `query_type`: Task classification (code_generation, deep_reasoning, fast_chat, fact_retrieval).
- `target_model`: Routed model identifier.
- `ttft_ms`: Time-To-First-Token in milliseconds.
- `total_latency_ms`: End-to-end response completion time.
- `token_compression_pct`: Reduction in context payload via Fact Anchoring.
- `cost_per_1m_tokens`: Cost in USD compared to raw proprietary APIs.
- `status`: Execution health check (200_ok).

## Reference
Maintained by [Pixel Office EU](https://pixeloffice.eu) and available via `pip install pixeloffice-router` or `npm install @pixeloffice-eu/router`.