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llm-router/benchmarks/results/quality_report.md
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Joseph CostaandClaude Opus 4.8 9938d46a67 Initial commit: llm-router — smart OpenAI/Anthropic/Ollama router
A stdlib pre-router in front of Ollama with LiteLLM backend:
- auto model selection by content/tools/modality, with fallbacks
- OpenAI /v1, Anthropic /v1/messages, and Ollama-native /api/* endpoints
- Whisper-shaped /v1/audio/transcriptions + in-chat audio
- key-based fleet policies (e.g. force a client onto uncensored models)
- optional Bearer auth; launchd/systemd service install
- benchmark harnesses (speed, quality, agentic tool use) with sample results

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-05 02:05:16 -05:00

1.2 KiB

Quality benchmark — 2026-07-03 18:15

Objective auto-grading. code=executed unit tests, math=GSM8K-style exact, mc=multiple-choice, ifollow=programmatic checks, ocr=multi-image text.

Model Overall Code Math MC Instr OCR tok/s
gemma4:31b 100% 100 100 100 100 100 16.6
gemma4:26b 100% 100 100 100 100 100 71.6
qwen3.6:27b 96% 100 100 83 100 18.3
gemma4:e4b 96% 100 100 83 100 100 66.9
qwen3-vl:30b-a3b-instruct 92% 100 100 100 67 100 86.1
qwen3:14b 92% 100 100 100 67 36.2
gemma4:e2b 92% 100 100 67 100 100 101.3
qwen3.6:35b-a3b 91% 100 80 83 100 74.5
qwen3-coder:30b 88% 100 100 83 67 85.5
qwen3:8b 88% 100 100 83 67 59.9
gemma4:12b 87% 100 80 67 100 100 36.3
glm-4.7-flash:latest 83% 100 100 67 67 65.6
gpt-oss:20b 62% 100 80 0 67 70.9
qwen3-vl:8b 22% 33 20 0 33 100 58.1