Meeting action items
meeting-action-items · v1
Extract action items as a JSON array of owner and task. The deterministic check compares the set of owners only. Wording of the task strings is not scored here; that would be a rubric.
Bench / Comparisons / Meeting notes & customer summaries · 4 models
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Meeting action items, Five-bullet brief, Earnings call summary, Customer changelog draft · openai/gpt-4o-mini vs google/gemini-2.5-flash vs google/gemini-3.1-flash-lite vs deepseek/deepseek-chat-v3.1
As of Oct 1, 2026, 8:23 PM ET (runs stored from Oct 1, 2026, 8:23 PM ET). 16 stored runs. Methodology
A rank on this page is best_fit_for_inputs for one task, volume, and budget. It is not a universal winner.
meeting-action-items · v1
Extract action items as a JSON array of owner and task. The deterministic check compares the set of owners only. Wording of the task strings is not scored here; that would be a rubric.
five-bullet-brief · v1
Rewrite a note as exactly five bullets under a word cap. This tier-1 task measures format compliance only. It does not score whether the bullets are accurate.
earnings-call-summary · v1
Summarize an earnings-call excerpt into five bullets. The fixture is a short excerpt, not a full transcript, so this version does not measure a 2,000-word run. Scoring is a blinded rubric, not a hardcoded quality score.
changelog-customer-draft · v1
Rewrite internal release notes into a customer-facing changelog. A blinded rubric scores accuracy, clarity, audience fit, and whether anything important was dropped.
Amounts are the exact stored decimal strings. No rounding is applied. candidate_cost_usd is the sum of measured run costs. judge_cost_usd is the sum of stored tier-2 judge ledger rows, or null when none were recorded. total_cost_usd equals candidate plus judge only when every candidate cost is present and a judge cost was recorded.
Candidate costs are the measured amounts on the receipts below (16 runs).
| Model | Task | Tier | Score | Latency | Measured cost | Receipt |
|---|---|---|---|---|---|---|
| google/gemini-2.5-flash | Meeting action items | Deterministic check | 474 ms | 0.0002295 | Run 09df9762 | |
| google/gemini-3.1-flash-lite | Meeting action items | Deterministic check | 692 ms | 0.00013475 | Run efbf5b21 | |
| openai/gpt-4o-mini | Meeting action items | Deterministic check | 568 ms | 0.0000519 | Run 602d9a84 | |
| deepseek/deepseek-chat-v3.1 | Meeting action items | Deterministic check | 178 ms | 0.00008441 | Run 49ea913a | |
| google/gemini-3.1-flash-lite | Five-bullet brief | Deterministic check | 532 ms | 0.0000855 | Run f078e9be | |
| google/gemini-2.5-flash | Five-bullet brief | Deterministic check | 918 ms | 0.0001148 | Run 2481d57d | |
| openai/gpt-4o-mini | Five-bullet brief | Deterministic check | 505 ms | 0.00004095 | Run a456fef7 | |
| deepseek/deepseek-chat-v3.1 | Five-bullet brief | Deterministic check | 1976 ms | 0.0000601 | Run e4c47496 | |
| google/gemini-2.5-flash | Earnings call summary | LLM judge | 468 ms | 0.0002474 | Run 961a8dc7 | |
| openai/gpt-4o-mini | Earnings call summary | LLM judge | 427 ms | 0.00006765 | Run adebaa89 | |
| google/gemini-3.1-flash-lite | Earnings call summary | LLM judge | 514 ms | 0.0001665 | Run af33314b | |
| deepseek/deepseek-chat-v3.1 | Earnings call summary | LLM judge | 1069 ms | 0.00011562 | Run 1ec54c69 | |
| google/gemini-2.5-flash | Customer changelog draft | LLM judge | 656 ms | 0.0001547 | Run 9f12b9a0 | |
| deepseek/deepseek-chat-v3.1 | Customer changelog draft | LLM judge | 186 ms | 0.00009955 | Run 2a09ac45 | |
| google/gemini-3.1-flash-lite | Customer changelog draft | LLM judge | 749 ms | 0.000104 | Run d26f4e7a | |
| openai/gpt-4o-mini | Customer changelog draft | LLM judge | 1267 ms | 0.00002685 | Run c05c57fc |
No stored run in this comparison is flagged incomplete, mixed, or as an automated metadata check.
Race, radar, run replay, fit walkthrough, PNG stills, and CSV stay marked todo. The links below are the artifacts that exist for this comparison.
JSON packet · Scatter · Checklist · Episode packet · Race (not generated)
A rank is best_fit_for_inputs for one task, volume, and budget. It is computed from the stored runs on this page. It is not a universal winner, and it is not stored as its own score. Methodology
No fit rank is shown until you choose a task, volume, and budget.
Open in the interactive Bench · Episode page · Episode packet · Checklist