Summary
- Adds TY25 support for
moonshotai/kimi-k3through OpenRouter usingOPENROUTER_API_KEY. - Includes Kimi K3 in default TY25 runs and restricts it to
ultrathink, mapped to its requiredreasoning_effort="max". - Sends the original PDFs as raw base64
fileblocks for OpenRouter’s default PDF processing, without local text extraction or a parser override. - Preserves slash-containing model IDs and calls LiteLLM with the full
openrouter/moonshotai/kimi-k3model name. - Keeps Kimi out of TY25 web-search runs and rejects unsupported lower thinking levels.
- Adds saved model outputs and evaluation reports for all 50 TY25 cases.
- Updates the README leaderboard, detailed results, documentation, and regenerated TY25 charts.
Results
| Model | Thinking | Tests | Strict | Lenient | By line | By line, lenient |
|---|---|---|---|---|---|---|
moonshotai/kimi-k3 |
ultrathink |
50×1/50 | 6.00% | 12.00% | 65.04% | 68.43% |
The saved artifacts contain one model output and one evaluation report for every TY25 case.
Implementation notes
- Uses
reasoning_effort="max",max_tokens=131072, streaming, and the existing four-hour timeout and finish-reason checks. - Omits sampling arguments, parser plugins, and web-search configuration.
- Retains LiteLLM 1.89.3. A regression test verifies that its generic OpenRouter adapter preserves the nested model slug, PDF file block, and explicitly allowed reasoning parameter without requiring static Kimi model metadata.
- Documents OpenRouter PDF processing, possible OCR charges, and the current upstream capacity warning.
Validation
uv run pytest— 142 passeduv run ruff check tax_calc_bench testsuv run scripts/update_charts.pygit diff --check- Verified 50 model outputs and 50 evaluation reports
- Visually verified the regenerated TY25 overall and detailed charts
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