Datasets:
query_type stringclasses 6
values | target_model stringclasses 5
values | ttft_ms int64 160 410 | total_latency_ms int64 701 1.98k | token_compression_pct stringclasses 7
values | cost_per_1m_tokens float64 0.08 3 | status stringclasses 1
value |
|---|---|---|---|---|---|---|
code_generation | deepseek/deepseek-chat | 185 | 940 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 192 | 890 | 38% | 0.14 | 200_ok |
deep_reasoning | sference/thinkingcap-qwen3.6-27b | 410 | 1,650 | 42% | 0.28 | 200_ok |
fast_chat | deepseek/deepseek-chat | 175 | 720 | 29% | 0.14 | 200_ok |
fact_retrieval | pixeloffice/blun-auto | 160 | 820 | 55% | 0.12 | 200_ok |
complex_refactor | bedrock/claude-sonnet-4-5 | 320 | 1,980 | 30% | 3 | 200_ok |
multi_file_analysis | google/gemini-2.5-flash | 220 | 1,120 | 40% | 0.075 | 200_ok |
fast_chat | deepseek/deepseek-chat | 161 | 701 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 162 | 702 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 163 | 703 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 164 | 704 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 165 | 705 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 166 | 706 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 167 | 707 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 168 | 708 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 169 | 709 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 170 | 710 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 171 | 711 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 172 | 712 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 173 | 713 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 174 | 714 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 175 | 715 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 176 | 716 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 177 | 717 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 178 | 718 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 179 | 719 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 180 | 720 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 181 | 721 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 182 | 722 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 183 | 723 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 184 | 724 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 185 | 725 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 186 | 726 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 187 | 727 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 188 | 728 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 189 | 729 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 190 | 730 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 191 | 731 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 192 | 732 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 193 | 733 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 194 | 734 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 195 | 735 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 196 | 736 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 197 | 737 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 198 | 738 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 199 | 739 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 160 | 740 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 161 | 741 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 162 | 742 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 163 | 743 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 164 | 744 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 165 | 745 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 166 | 746 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 167 | 747 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 168 | 748 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 169 | 749 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 170 | 750 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 171 | 751 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 172 | 752 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 173 | 753 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 174 | 754 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 175 | 755 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 176 | 756 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 177 | 757 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 178 | 758 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 179 | 759 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 180 | 760 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 181 | 761 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 182 | 762 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 183 | 763 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 184 | 764 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 185 | 765 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 186 | 766 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 187 | 767 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 188 | 768 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 189 | 769 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 190 | 770 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 191 | 771 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 192 | 772 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 193 | 773 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 194 | 774 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 195 | 775 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 196 | 776 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 197 | 777 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 198 | 778 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 199 | 779 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 160 | 780 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 161 | 781 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 162 | 782 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 163 | 783 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 164 | 784 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 165 | 785 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 166 | 786 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 167 | 787 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 168 | 788 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 169 | 789 | 35% | 0.14 | 200_ok |
deep_reasoning | deepseek/deepseek-chat | 170 | 790 | 35% | 0.14 | 200_ok |
fact_retrieval | deepseek/deepseek-chat | 171 | 791 | 35% | 0.14 | 200_ok |
code_generation | deepseek/deepseek-chat | 172 | 792 | 35% | 0.14 | 200_ok |
fast_chat | deepseek/deepseek-chat | 173 | 793 | 35% | 0.14 | 200_ok |
End of preview. Expand in Data Studio
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.
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