Datasets:

pixeloffice
/

llm-smartrouter-benchmark

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 and available via pip install pixeloffice-router or npm install @pixeloffice-eu/router.