Explore more topics
Published model evaluations

Claude 3.5 Sonnet and GPT-4o turning a screen into a MongoDB query

Published 2024-06-25: 1 screening request, 2 models, single run each. Whether the model returned an answer, and the time to that answer. See the results, how they were measured and where the findings stop.

As of 2024-06-25

Jump to a section

TL;DR

Published 2024-06-25. GPT-4o returned 5 companies in 26 seconds. Claude 3.5 Sonnet returned no response because its query never terminated.

Published
2024-06-25
Published model rows
2
Evidence
Historical task evaluation

Follow this evaluation

NexusTrade Aurora chat using GPT-4o listing five companies with free cash flow changes from 2016 to 2020
GPT-4o's June 2024 screener answer listing BAC, BRK-A, AMZN, ONTX and GS by free cash flow increase from 2016 to 2020.
Step 1 of 3

Published results

Claude 3.5 Sonnet and GPT-4o turning a screen into a MongoDB query: source evidence dated 2024-06-25.

Exact model version
GPT-4o
Response
Returned 5 companies
Time to response
26s
What you should see

The displayed values belong to the identified model versions and this published task, with their original metric units.

Step 3 of 3

Test a strategy with Aurora

Keep the study date and exact model ID beside the result. Do not average different tasks into one winner.

Test a strategy with Aurora
What you should see

Keep reporting dates and units beside the answer, and inspect its original citations.

Published results

See the complete published results

Scroll sideways to compare all columns. Select a heading to sort.

GPT-4oReturned 5 companies26s
Claude 3.5 SonnetNo response—

1 screening request, 2 models, single run each. Published 2024-06-25. Values retain their original units and grading scale.

Task and tested input

Translate a plain-English stock screen into a MongoDB query, execute it and summarize the matching companies.

  1. Published prompt excerpt

    find the 5 companies with the highest cash flow increase from 2016 to 2020

How the runs worked

1 screening request, 2 models, single run each

NexusTrade Aurora beta stock screener, which translates plain English into a MongoDB query and executes it

  1. Step 1

    Send the screening request to GPT-4o-powered Aurora and record the response and its time.

  2. Step 2

    Send the same request to Claude 3.5 Sonnet-powered Aurora.

  3. Step 3

    Record that Claude's generated query never terminated and was killed manually in the cloud console.

How to read the measurements

  1. Grading and valid output

    Response or no response only. The article did not verify GPT-4o's returned figures.

  2. Cost

    The article publishes no per-model cost for this test.

  3. Time

    GPT-4o responded in 26 seconds. Claude 3.5 Sonnet never responded.

Why this model was selected

The article named GPT-4o the winner of this test.

See the published results

NexusTrade Aurora chat using GPT-4o listing five companies with free cash flow changes from 2016 to 2020
GPT-4o's June 2024 screener answer listing BAC, BRK-A, AMZN, ONTX and GS by free cash flow increase from 2016 to 2020.

This image was published with the 2024-06-25 article. Read the source for the full test procedure and every result it reports.

Sample and scope

June 2024 single-request comparison on a feature the article labels beta. Both models have since been replaced.

GPT-4o's answer was not checked for accuracy. The article says some results, such as Onconova Therapeutics showing $0 free cash flow in 2016, look a little sketchy.

Claude's failure came from a generated query that never terminated and had to be killed manually, so the result reflects the screener's lack of a query timeout as well as the model.

Read the original evidence

Continue exploring

Discussion

Sign in or create a free account to join the discussion.

No comments yet.

Aurora · AI research assistant

Try this in Aurora

Edit the request, then open it in Aurora. You choose when to send it.