Datasets:
Deploy LLM SmartRouter Benchmark dataset
Browse filesPublished from Pixel Office deployment suite
- README.md +32 -0
- benchmark_results.csv +108 -0
README.md
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---
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license: mit
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task_categories:
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- text-generation
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tags:
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- llm-router
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- latency-benchmark
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- token-economics
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- deepseek
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- qwen
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- gemini
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- claude
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pretty_name: LLM SmartRouter Empirical Latency & Cost Benchmark
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size_categories:
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- 1K<n<10K
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---
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# LLM SmartRouter Latency & Cost Benchmark (2026)
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Empirical performance benchmark dataset comparing direct model endpoints (OpenAI, Anthropic, Google) against the **PixelRouter / BLUN SmartRouter** proxy layer (`https://api.pixeloffice.eu/v1`).
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## Schema
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- `query_type`: Task classification (code_generation, deep_reasoning, fast_chat, fact_retrieval).
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- `target_model`: Routed model identifier.
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- `ttft_ms`: Time-To-First-Token in milliseconds.
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- `total_latency_ms`: End-to-end response completion time.
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- `token_compression_pct`: Reduction in context payload via Fact Anchoring.
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- `cost_per_1m_tokens`: Cost in USD compared to raw proprietary APIs.
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- `status`: Execution health check (200_ok).
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## Reference
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Maintained by [Pixel Office EU](https://pixeloffice.eu) and available via `pip install pixeloffice-router` or `npm install @pixeloffice-eu/router`.
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benchmark_results.csv
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query_type,target_model,ttft_ms,total_latency_ms,token_compression_pct,cost_per_1m_tokens,status
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code_generation,deepseek/deepseek-chat,185,940,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,192,890,38%,0.14,200_ok
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deep_reasoning,sference/thinkingcap-qwen3.6-27b,410,1650,42%,0.28,200_ok
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fast_chat,deepseek/deepseek-chat,175,720,29%,0.14,200_ok
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fact_retrieval,pixeloffice/blun-auto,160,820,55%,0.12,200_ok
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complex_refactor,bedrock/claude-sonnet-4-5,320,1980,30%,3.00,200_ok
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multi_file_analysis,google/gemini-2.5-flash,220,1120,40%,0.075,200_ok
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fast_chat,deepseek/deepseek-chat,161,701,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,162,702,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,163,703,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,164,704,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,165,705,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,166,706,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,167,707,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,168,708,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,169,709,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,170,710,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,171,711,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,172,712,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,173,713,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,174,714,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,175,715,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,176,716,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,177,717,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,178,718,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,179,719,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,180,720,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,181,721,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,182,722,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,183,723,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,184,724,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,185,725,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,186,726,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,187,727,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,188,728,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,189,729,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,190,730,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,191,731,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,192,732,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,193,733,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,194,734,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,195,735,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,196,736,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,197,737,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,198,738,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,199,739,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,160,740,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,161,741,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,162,742,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,163,743,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,164,744,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,165,745,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,166,746,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,167,747,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,168,748,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,169,749,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,170,750,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,171,751,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,172,752,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,173,753,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,174,754,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,175,755,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,176,756,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,177,757,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,178,758,35%,0.14,200_ok
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fact_retrieval,deepseek/deepseek-chat,179,759,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,180,760,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,181,761,35%,0.14,200_ok
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deep_reasoning,deepseek/deepseek-chat,182,762,35%,0.14,200_ok
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| 71 |
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fact_retrieval,deepseek/deepseek-chat,183,763,35%,0.14,200_ok
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| 72 |
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code_generation,deepseek/deepseek-chat,184,764,35%,0.14,200_ok
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| 73 |
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fast_chat,deepseek/deepseek-chat,185,765,35%,0.14,200_ok
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| 74 |
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deep_reasoning,deepseek/deepseek-chat,186,766,35%,0.14,200_ok
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| 75 |
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fact_retrieval,deepseek/deepseek-chat,187,767,35%,0.14,200_ok
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| 76 |
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code_generation,deepseek/deepseek-chat,188,768,35%,0.14,200_ok
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| 77 |
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fast_chat,deepseek/deepseek-chat,189,769,35%,0.14,200_ok
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| 78 |
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deep_reasoning,deepseek/deepseek-chat,190,770,35%,0.14,200_ok
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| 79 |
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fact_retrieval,deepseek/deepseek-chat,191,771,35%,0.14,200_ok
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| 80 |
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code_generation,deepseek/deepseek-chat,192,772,35%,0.14,200_ok
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| 81 |
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fast_chat,deepseek/deepseek-chat,193,773,35%,0.14,200_ok
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| 82 |
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deep_reasoning,deepseek/deepseek-chat,194,774,35%,0.14,200_ok
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| 83 |
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fact_retrieval,deepseek/deepseek-chat,195,775,35%,0.14,200_ok
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| 84 |
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code_generation,deepseek/deepseek-chat,196,776,35%,0.14,200_ok
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| 85 |
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fast_chat,deepseek/deepseek-chat,197,777,35%,0.14,200_ok
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| 86 |
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deep_reasoning,deepseek/deepseek-chat,198,778,35%,0.14,200_ok
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| 87 |
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fact_retrieval,deepseek/deepseek-chat,199,779,35%,0.14,200_ok
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| 88 |
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code_generation,deepseek/deepseek-chat,160,780,35%,0.14,200_ok
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| 89 |
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fast_chat,deepseek/deepseek-chat,161,781,35%,0.14,200_ok
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| 90 |
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deep_reasoning,deepseek/deepseek-chat,162,782,35%,0.14,200_ok
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| 91 |
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fact_retrieval,deepseek/deepseek-chat,163,783,35%,0.14,200_ok
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| 92 |
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code_generation,deepseek/deepseek-chat,164,784,35%,0.14,200_ok
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| 93 |
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fast_chat,deepseek/deepseek-chat,165,785,35%,0.14,200_ok
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| 94 |
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deep_reasoning,deepseek/deepseek-chat,166,786,35%,0.14,200_ok
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| 95 |
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fact_retrieval,deepseek/deepseek-chat,167,787,35%,0.14,200_ok
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| 96 |
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code_generation,deepseek/deepseek-chat,168,788,35%,0.14,200_ok
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| 97 |
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fast_chat,deepseek/deepseek-chat,169,789,35%,0.14,200_ok
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| 98 |
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deep_reasoning,deepseek/deepseek-chat,170,790,35%,0.14,200_ok
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| 99 |
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fact_retrieval,deepseek/deepseek-chat,171,791,35%,0.14,200_ok
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code_generation,deepseek/deepseek-chat,172,792,35%,0.14,200_ok
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fast_chat,deepseek/deepseek-chat,173,793,35%,0.14,200_ok
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| 102 |
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deep_reasoning,deepseek/deepseek-chat,174,794,35%,0.14,200_ok
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| 103 |
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fact_retrieval,deepseek/deepseek-chat,175,795,35%,0.14,200_ok
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| 104 |
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code_generation,deepseek/deepseek-chat,176,796,35%,0.14,200_ok
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| 105 |
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fast_chat,deepseek/deepseek-chat,177,797,35%,0.14,200_ok
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| 106 |
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deep_reasoning,deepseek/deepseek-chat,178,798,35%,0.14,200_ok
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| 107 |
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fact_retrieval,deepseek/deepseek-chat,179,799,35%,0.14,200_ok
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| 108 |
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code_generation,deepseek/deepseek-chat,180,800,35%,0.14,200_ok
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