TL;DR
Claude Sonnet 4.6 scored 50 out of 100 with a weak verdict in the April 6, 2026 options-strategy evaluation. Its 32-minute run finished sooner than Gemini 3 Flash Preview's 45.5 minutes, but Flash scored 66 with a mixed verdict. The models had the same task, tools and 25-iteration budget. These scores judge strategy-development progress, not achieved account doubling; the published scorecard reports no billed-dollar cost.
- Exact tested ID
- anthropic/claude-sonnet-4.6
- Published studies
- 1
- Provider
- anthropic
Eleven models building an options strategy: compare the tested outputs
The same task and 25-iteration budget produced these evaluator scores. Runtime was 32 minutes for Sonnet and 45.5 minutes for Flash Preview; neither score establishes the requested doubling.
Show the table · 2 rows, 6 columns
Scroll sideways to compare all columns. Select a heading to sort.
| Claude Sonnet 4.6 | 50 | weak | 2 | 5 | 32m |
| Gemini 3 Flash Preview | 66 | mixed | 3 | 6 | 45.5m |
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11 model runs; same task, account context, tools and 25-iteration budget. Published 2026-04-06. Values retain their original units and grading scale.
anthropic/claude-sonnet-4.6 was tested on 2026-04-06. 11 model runs; same task, account context, tools and 25-iteration budget. Its row and the other published arm use the same task and measurement units.
What this version helps you choose
Sonnet finished the options run sooner than Flash Preview, but the evaluator graded it weak versus Flash’s mixed verdict.
Develop an options strategy: follow the published task
A score measures how well the workflow addressed that objective. Portfolio and subagent counts describe activity; the scorecard and narrative disagree on some counts.
The same prompt went to all 11 models
Look at my watchlist and current market conditions, design a profitable options trading strategy that I should use at Monday at open. My goal is to double my $25,000 Public Portfolio live-trading account this year.
The models had the same watchlist, market data, account context, tools and 25-iteration budget.
Flash acted; GPT-5.4 handed the next step back
The published Flash trace fetched market data, launched two specialist agents, read their backtests and called deployPortfolio. GPT-5.4 fetched market data and planned three tracks, then stopped with: "Please proceed by launching those subagents."
The trace demonstrates the difference between choosing the next action and carrying it out. Its Flash process counts disagree with the preserved scorecard.
Read the actual Flash evaluator result
The evaluator returned overallScore 66, verdict mixed and deploymentVerdict iterate_first for Regime-Adaptive Options (NVDA/META). Its listed yearly returns were 2022 +31.22%, 2023 +15.41% and 2024 +0.34%, averaging +15.66%.
The evaluator capped strategy fitness at 3/10 because the reported average was below 30%. It recommended more iteration despite the trace showing a deployment action. Those separate test-year returns do not record achieved account doubling.
Eleven models building an options strategy
Claude Sonnet 4.6 scored 50/100 with a weak verdict over 32m. The goal was an options strategy for a $25,000 account, with the same tools and 25-iteration budget. The verdict grades progress on that goal; it does not record achieved account doubling.
Show the table · 5 rows, 2 columns
| Published metric | Value |
|---|---|
| Score | 50 |
| Verdict | weak |
| Subagents | 2 |
| Portfolios | 5 |
| Time | 32m |
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Eleven models building an options strategy: read these measurements
Read the complete rubric, sample and billing notes
11 model runs; same task, account context, tools and 25-iteration budget
Develop an options strategy for a $25,000 account with the stated goal of doubling it within a year.
Scoring
The evaluator weights strategy fitness 40%, evidence 25%, exploration 20% and risk realism 15%. No deployment caps fitness at 2/10; single-year evidence caps it at 4/10. The score is a judgment, not a probability of doubling money.
Cost units
This scorecard has no measured billed-dollar cost column.
Time units
Time includes tool use and historical backtesting, not one response.
Subagent
An agent delegated part of the research to another agent.
Portfolio
A strategy artifact created during the run. Its existence alone does not establish a successful strategy.
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