Bench / Comparisons / Meeting notes & customer summaries · 4 models

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Meeting notes & customer summaries · 4 models

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.

Tasks

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.

Five-bullet brief

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

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.

Customer changelog draft

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.

Models: openai/gpt-4o-mini, google/gemini-2.5-flash, google/gemini-3.1-flash-lite, deepseek/deepseek-chat-v3.1
Methodology: v1
Published:
Candidate runs total: 0.00178418
Judge cost: 0.0004657
Total (candidate + judge): 0.00224988

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).

Comparison 7fb16500-712d-4e11-bcab-20a9d05e61e5
Funding visitor-key / video-demo

Stored runs

ModelTaskTierScoreLatencyMeasured costReceipt
google/gemini-2.5-flashMeeting action itemsDeterministic check
1Human spot checkMethodology
474 ms0.0002295Run 09df9762
google/gemini-3.1-flash-liteMeeting action itemsDeterministic check
1Human spot checkMethodology
692 ms0.00013475Run efbf5b21
openai/gpt-4o-miniMeeting action itemsDeterministic check
1Human spot checkMethodology
568 ms0.0000519Run 602d9a84
deepseek/deepseek-chat-v3.1Meeting action itemsDeterministic check
1Human spot checkMethodology
178 ms0.00008441Run 49ea913a
google/gemini-3.1-flash-liteFive-bullet briefDeterministic check
1Human spot checkMethodology
532 ms0.0000855Run f078e9be
google/gemini-2.5-flashFive-bullet briefDeterministic check
1Human spot checkMethodology
918 ms0.0001148Run 2481d57d
openai/gpt-4o-miniFive-bullet briefDeterministic check
1Human spot checkMethodology
505 ms0.00004095Run a456fef7
deepseek/deepseek-chat-v3.1Five-bullet briefDeterministic check
1Human spot checkMethodology
1976 ms0.0000601Run e4c47496
google/gemini-2.5-flashEarnings call summaryLLM judge
5/5brevity 5 · coverage 5 · structure 5 · faithfulness 5Human spot checkMethodology
468 ms0.0002474Run 961a8dc7
openai/gpt-4o-miniEarnings call summaryLLM judge
5/5brevity 5 · coverage 5 · structure 5 · faithfulness 5Human spot checkMethodology
427 ms0.00006765Run adebaa89
google/gemini-3.1-flash-liteEarnings call summaryLLM judge
5/5brevity 5 · coverage 5 · structure 5 · faithfulness 5Human spot checkMethodology
514 ms0.0001665Run af33314b
deepseek/deepseek-chat-v3.1Earnings call summaryLLM judge
5/5brevity 5 · coverage 5 · structure 5 · faithfulness 5Human spot checkMethodology
1069 ms0.00011562Run 1ec54c69
google/gemini-2.5-flashCustomer changelog draftLLM judge
5/5clarity 5 · accuracy 5 · omissions 5 · audience_fit 5Human spot checkMethodology
656 ms0.0001547Run 9f12b9a0
deepseek/deepseek-chat-v3.1Customer changelog draftLLM judge
5/5clarity 5 · accuracy 5 · omissions 5 · audience_fit 5Human spot checkMethodology
186 ms0.00009955Run 2a09ac45
google/gemini-3.1-flash-liteCustomer changelog draftLLM judge
5/5clarity 5 · accuracy 5 · omissions 5 · audience_fit 5Human spot checkMethodology
749 ms0.000104Run d26f4e7a
openai/gpt-4o-miniCustomer changelog draftLLM judge
5/5clarity 5 · accuracy 5 · omissions 5 · audience_fit 5Human spot checkMethodology
1267 ms0.00002685Run c05c57fc

Notable flags

No stored run in this comparison is flagged incomplete, mixed, or as an automated metadata check.

B-roll

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)

Measured cost vs quality

Scatter of stored measured cost against stored quality for Meeting notes & customer summaries · 4 models. Runs missing either number are omitted.

Fit for your inputs

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.

Other published comparisons with this task and model set

Open in the interactive Bench · Episode page · Episode packet · Checklist