data(estimate): add deepseek-v4-flash benchmark results#1294
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Adds deepseek-v4-flash benchmark reports for the four standard projects and updates batch-summary.json so dev picks up the new model. | project | grade | score | |----------|-------|-------| | todo | B | 87 | | reddit | C | 78 | | shopping | C | 73 | | erp | B | 80 |
…v4-flash - Add deepseek-v4-flash to MODEL_TO_RESULTS_PATH so the aggregator resolves its autobe-examples directory and enriches pipeline detail. - Regenerate apps/dashboard-ui/public/benchmark-summary.json and website/public/benchmark/benchmark-summary.json so localhost:3000/benchmark and the deployed dashboard surface the new model.
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Summary
Adds deepseek-v4-flash evaluation reports for the four standard benchmark projects (todo, reddit, shopping, erp) and updates
batch-summary.jsonso the dev surface (autobe.dev) picks up the new model.Results
Average: 79.5 (B-tier, comparable to claude-sonnet-4.6 / qwen3.5-397b-a17b at 80.0).
Changes
packages/estimate/reports/benchmark/deepseek-v4-flash/{erp,reddit,shopping,todo}/estimate-report.json— new reportspackages/estimate/reports/benchmark/batch-summary.json— 4 new entries inserted afterdeepseek-v3.2