Tasks / Strategy

Competitor analysis

Can the model find where a competitor can actually hurt you, from win/loss and churn data, rather than list features?

Task type v1.1 · 2 tasksLast changed 6 Oct 2026 · ChangelogDifficulty

What AI gets right here, and what you’ll still have to catch

From 16 graded outputs by 8 models. 63% were usable with at most a quick edit.

Reliably right

  1. Respects explicit constraints100% pass
    Delivers a competitive analysis memo to Dan within 900 words, addressing all requested topics without proposing a full feature-by-feature match.
    Opus 5.5 · Claude · The competitor isn't who you think
  2. Reads where Crestline is heading100% pass
    Uses Crestline's hiring (payroll, multi-entity, accountant partnerships) to infer direction, flags the partner-programme risk, and adjusts the response accordingly.
    GPT-6 Astra · ChatGPT · Free forever, funded
  3. Produces the required deliverable97% pass
    The memo is complete, in the right form for the CEO, within the word limit, and actionable with light edits.
    Opus 5.5 · Claude · The competitor isn't who you think

Where it slips

  1. Uses the supplied evidence correctly56% pass
    Two factual claims are wrong: the number of unconnected multi-user accounts going to Crestline is 40, not 42, and the number of connected 6-20 cancellations is 5, not 4.
    Sonnet 5.5 · API · Free forever, funded
  2. Gets the base of every number right61% pass
    Derived figures for unconnected multi-user cancellations (42 vs actual 40) and connected 6-20 cancellations (4 vs actual 5) are incorrect.
    Sonnet 5.5 · API · Free forever, funded
  3. Separates what a rival can copy66% pass
    Does not explicitly separate advantages a well-funded competitor could copy from those it couldn't, nor anchor the response in durable advantages with evidence.
    GPT-6 Luna · API · The competitor isn't who you think

How it’s graded

Each check is built on how world-class product and growth leaders do this work, as they’ve described it on Lenny’s Podcast, and names the leader it comes from.

  1. Competes with what customers really choose

    Does the analysis treat the status quo (spreadsheets, manual work, doing nothing) as a competitor, and draw at least one implication from where competitors are investing rather than only from today's features?

    Passes when Analyses the status quo, strengths included, and gives a direction-of-travel insight that affects the recommendation.

  2. Separates what a rival can copy

    Does the analysis separate advantages a well-funded competitor could copy (features, price, being first) from ones it couldn't easily (switching costs, networks, relationships), and build the response on the latter?

    Passes when Names which advantages are copyable and which aren't, with evidence, and anchors the response in the durable ones.

Plus our standard checks

Uses the supplied evidence correctly · Addresses the actual decision · Respects explicit constraints · Identifies material uncertainty · Avoids unsupported claims · Produces the required deliverable · Gets the base of every number right · and 2 written for each task, which you’ll see in the tasks below.

The tasks

Read the brief, then compare up to three outputs, each with the LLM judge’s verdict on every check. Highlights mark what a PM had to fix.

The brief

You're the PM for growth at Tallybook. Our CEO, Dan Whitlock, wants a feature-by-feature comparison against Billfront and a plan to match everything they have by Q2 (his note is below). Write him a competitive analysis of no more than 900 words: who we really lose to, where Billfront is a real threat and where it isn't, where it's heading, and what we should do instead of (or as well as) matching it. The files are attached.

What the model was given5 items: About Tallybook, ceo_note.md, deals_last_two_quarters.csv (trials that became deals, won or lost), customers_by_segment.md, billfront_public_info.md
About TallybookInvoicing and payments for freelancers and small businesses. Plans from $9 to $39 a month.
ceo_note.md1 lines · Download
From Dan (CEO): "Billfront is killing us. I want a full feature-by-feature comparison against them and a plan to match everything they have by Q2."
deals_last_two_quarters.csv (trials that became deals, won or lost)deal,segment,outcome,primary_reason,went_to T-900,Small business,won,, T-901,Freelancer,won,, T-902,Freelancer,won,, T-903,Small business,won,, T-904,Small business,lost,Accountant uses something else,Xero invoicing T-905,Small business,won,, T-906,Small business,lost,Didn't get round to switching,No decision T-907,Freelancer,won,, T-908,Freelancer,won,, T-909,Small business,won,, T-910,Freelancer,lost,Price,Billfront T-911,Freelancer,won,, T-912,Small business,lost,Price,Billfront T-913,Freelancer,won,, T-914,Freelancer,won,, T-915,Small business,won,, T-916,Freelancer,won,, T-917,Small business,won,, T-918,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-919,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-920,Freelancer,won,, T-921,Agency (multi-currency),won,, T-922,Small business,won,, T-923,Small business,won,, T-924,Small business,won,, T-925,Freelancer,won,, T-926,Freelancer,won,, T-927,Freelancer,won,, T-928,Small business,won,, T-929,Small business,lost,Didn't get round to switching,No decision T-930,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-931,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-932,Small business,won,, T-933,Small business,won,, T-934,Small business,won,, T-935,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-936,Agency (multi-currency),lost,Didn't get round to switching,No decision T-937,Small business,lost,Didn't get round to switching,No decision T-938,Agency (multi-currency),won,, T-939,Small business,lost,Didn't get round to switching,No decision T-940,Small business,won,, T-941,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-942,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-943,Freelancer,won,, T-944,Small business,won,, T-945,Small business,lost,Accountant uses something else,Xero invoicing T-946,Small business,won,, T-947,Small business,won,, T-948,Small business,won,, T-949,Small business,lost,Didn't get round to switching,No decision T-950,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-951,Freelancer,won,, T-952,Freelancer,won,, T-953,Freelancer,won,, T-954,Agency (multi-currency),won,, T-955,Small business,lost,Didn't get round to switching,No decision T-956,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-957,Freelancer,won,, T-958,Small business,won,, T-959,Freelancer,won,, T-960,Small business,lost,Didn't get round to switching,No decision T-961,Freelancer,won,, T-962,Small business,won,, T-963,Agency (multi-currency),won,, T-964,Small business,won,, T-965,Small business,won,, T-966,Small business,won,, T-967,Small business,lost,Didn't get round to switching,No decision T-968,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-969,Small business,won,, T-970,Freelancer,lost,Price,Billfront T-971,Small business,lost,Didn't get round to switching,No decision T-972,Small business,lost,Accountant uses something else,Xero invoicing T-973,Small business,lost,Accountant uses something else,Xero invoicing T-974,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-975,Small business,lost,Price,Billfront T-976,Freelancer,won,, T-977,Small business,lost,Didn't get round to switching,No decision T-978,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-979,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-980,Freelancer,won,, T-981,Small business,won,, T-982,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-983,Small business,won,, T-984,Small business,lost,Didn't get round to switching,No decision T-985,Freelancer,won,, T-986,Freelancer,won,, T-987,Small business,lost,Didn't get round to switching,No decision T-988,Small business,won,, T-989,Freelancer,won,, T-990,Freelancer,won,, T-991,Freelancer,won,, T-992,Agency (multi-currency),won,, T-993,Freelancer,won,, T-994,Freelancer,won,, T-995,Small business,won,, T-996,Small business,won,, T-997,Small business,won,, T-998,Small business,lost,Didn't get round to switching,No decision T-999,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-1000,Agency (multi-currency),won,, T-1001,Small business,lost,Price,Billfront T-1002,Small business,won,, T-1003,Freelancer,won,, T-1004,Agency (multi-currency),lost,Didn't get round to switching,No decision T-1005,Freelancer,won,, T-1006,Small business,won,, T-1007,Freelancer,won,, T-1008,Small business,won,, T-1009,Freelancer,lost,Price,Billfront T-1010,Small business,won,, T-1011,Freelancer,won,, T-1012,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1013,Freelancer,won,, T-1014,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1015,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1016,Freelancer,won,, T-1017,Freelancer,won,, T-1018,Freelancer,won,, T-1019,Small business,lost,Didn't get round to switching,No decision T-1020,Freelancer,won,, T-1021,Small business,won,, T-1022,Agency (multi-currency),won,, T-1023,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1024,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1025,Freelancer,won,, T-1026,Freelancer,won,, T-1027,Freelancer,won,, T-1028,Small business,won,, T-1029,Freelancer,won,,
customers_by_segment.md7 lines · Download
# Tallybook customers and revenue (September)

| Segment | Paying customers | Average revenue per month |
|---|---|---|
| Freelancer | 5,800 | $11 |
| Small business | 3,100 | $24 |
| Agency (multi-currency) | 240 | $46 |
billfront_public_info.md6 lines · Download
# Billfront (public pages, September)

- Pricing: $12/month Starter, $29/month Pro (multi-currency, live FX rates), $59/month Team.
- Homepage: "Invoicing for global teams". Case studies: three agencies, one consultancy.
- Recent launches: multi-currency invoicing (March), client portal (June).
- Job posts: 4 engineers for "global payments", 2 for "agency workflows".
What a strong answer doesThe answer key the graders mark against

Shows from the deals file that the biggest competitor is no decision: of 46 lost deals, 25 ended with the prospect staying on spreadsheets or never switching, 17 went to Billfront and 4 to Xero invoicing. Billfront's wins are concentrated in multi-currency agencies (11 of its 17), on a specific gap (invoicing in several currencies with live rates); elsewhere it won only 6 deals, mostly on price. Agencies are a small segment (240 customers at about $46 a month, about $11,000 MRR, against about $64,000 from freelancers and $74,000 from small businesses), and Billfront is heading further into them (global payments and agency workflow hiring). Recommends against matching everything: fix switching friction for small businesses who 'didn't get round to it' (imports, setup help, accountant tie-ins), make a deliberate call on multi-currency (build it if agencies matter strategically, or cede the segment), and keep the advantages Billfront can't easily copy. Gives a short comparison only where it matters.

Critical failures (cap the score at 40)
  • Recommends matching Billfront feature for feature
Task

Mid-level · v1.0

The outputs

8 setups answered this brief.

Usable with a quick edit10 of 11 checks passed

The analysis is clear, data-backed, and actionable; a PM could use it with minor wording edits without rechecking evidence or redoing reasoning.

Output

To: Dan Whitlock From: Growth PM Re: Billfront: what the deal data says

Bottom line

Billfront is a real threat in one segment, not across the board. Most of our losses aren't to Billfront at all. I recommend we don't match everything by Q2. We should build the one feature that is costing us deals, and fix the larger problem, which is trials that never convert.

Who we lose to

In the last two quarters we closed 84 of 130 trials and lost 46:

Lost toDealsShare of losses
No decision (didn't switch, or stayed on spreadsheets/Word)2554%
Billfront1737%
Xero invoicing (accountant's choice)49%

Billfront took 17 of 130 trials, about 13%. Most of our losses are people who never chose anyone.

Where Billfront is a threat

Agencies needing multi-currency invoicing with live rates. Of 20 agency trials, we won 7 (35%). We lost 11 to Billfront on this one capability, and every one of them gave exactly that reason. Billfront launched it in March and bundles it in its $29 Pro plan. Our agency customers average $46 a month.

Outside agencies, Billfront barely registers. Win rates are 77% for freelancers (41 of 53) and 63% for small businesses (36 of 57). Billfront beat us on price in 6 deals, 3 freelancer and 3 small business, which is about 5% of trials in each segment.

The price losses are odd. Billfront's Starter is $12 and ours starts at $9, so list price at the entry tier doesn't explain them. I don't know what those prospects compared. We should find out before discussing any price changes.

Sizing it in revenue

Using segment average revenue (assuming lost deals would have paid the average):

  • Agency multi-currency losses to Billfront: 11 × $46 ≈ $506/month
  • No-decision losses: 14 small business × $24, 9 freelancer × $11, 2 agency × $46 ≈ $527/month
  • Billfront price losses: ≈ $105/month
  • Xero losses: ≈ $96/month

The multi-currency gap and the no-decision problem are about the same size. The multi-currency losses come from 11 deals, while the no-decision losses are spread across 25 and are probably cheaper to fix.

Agencies are only 240 of our 9,140 paying customers and about 7% of monthly revenue ($11k of $149k). They are our highest-value segment per customer, though, and they are where Billfront is heading.

Where Billfront is heading

Every public signal points at agencies and global teams, not at our core:

  • The homepage says "Invoicing for global teams".
  • Its case studies are three agencies and one consultancy.
  • It launched multi-currency in March and a client portal in June.
  • Of its open engineering roles, 4 are for "global payments" and 2 for "agency workflows".
  • It has a $59 Team tier above anything we sell.

A full-parity plan means following a roadmap aimed at a segment that is 7% of our revenue. It also means matching features like the client portal, which appears in none of our loss reasons. The same data suggests it's a risk to our 240 existing agency customers, not just to new deals. That's about $11k a month to defend.

What I recommend

  1. Build multi-currency invoicing with live FX rates, scoped tightly, as our one parity feature. It's the only feature with direct evidence behind it (11 lost deals). I need an engineering estimate before committing to Q2. I'd also check whether our current agency customers are asking for it, since that's the retention case.
  1. Attack "didn't get round to switching" and spreadsheet users. This is 25 deals and 54% of losses, concentrated in small business (14) and freelancers (9). Candidate fixes are guided import of existing clients and invoices, template migration from Word and spreadsheets, and a trial-end nudge with a done-for-you setup offer. We don't yet know why these people stalled. Before building, we should run about 10 calls with them. That costs days, not a quarter.
  1. Look into the Xero losses, but keep it small. All four came from accountants preferring another tool. A light accountant referral or integration push is worth a look, but it's 9% of losses and I wouldn't prioritise it above the other items.
  1. Investigate the price losses. I'd ask lost prospects what plan comparison they made. I wouldn't change pricing on 6 deals.
  1. Monitor Billfront rather than chase it. I'll track its releases and pricing quarterly and re-check agency win rate. If its pitch starts working on small businesses with teams, we revisit.

Caveats

  • The sample is 130 trials, and the loss reasons are as recorded by the team, not verified with prospects.
  • The data has no dates, so I can't tell whether the agency losses accelerated after Billfront's March launch. I'd add dates to the loss data.
  • I only have Billfront's public pages, so I can't do a true feature-by-feature comparison. I can build one from their product and pricing pages if you still want it, but I'd treat it as reference, not as a roadmap.

I'm glad to walk through the numbers, and I'll bring the engineering estimate and call findings to our next review.

Grades and run details

Decision model 95 · LLM judge 92
Decision model checks
  • passUses the supplied evidence correctly40%
  • passAddresses the actual decision76%
  • passRespects explicit constraints62%
  • passIdentifies material uncertainty97%
  • passAvoids unsupported claims42%
  • passProduces the required deliverable46%
  • passFinds the real competitor100%
  • passPins down where Billfront wins100%
  • passCompetes with what customers really choose100%
  • passGets the base of every number right35%
  • partialSeparates what a rival can copy62%
Run
Run
#1
API response time
43 s
Submitted
6 Oct 2026

Usable with a quick edit10 of 11 checks passed

The analysis is evidence-based and actionable; a PM could add a sentence on durable advantages without redoing any reasoning or re-checking evidence.

Output

To: Dan Whitlock Subject: Q2 competitive plan—beat the reasons we lose, not Billfront’s feature list

Dan—

Billfront is a real threat in multi-currency agencies, but the deal data does not support “Billfront is killing us” across our business. I recommend a Q2 plan focused on switching friction in our core market, with a gated investment in multi-currency—not blanket feature parity.

1. Who we actually lose to

Across 130 trials with recorded outcomes over the last two quarters, we won 84 and lost 46.

DestinationLost dealsShare of lossesRecorded reason
------:---:---
No decision2554%16 never switched; 9 stayed with spreadsheets/Word
Billfront1737%11 multi-currency/live FX; 6 price
Xero invoicing49%Accountant uses another system

Our largest competitor is inertia. More deals stall or retain manual workflows than go to Billfront.

The segment split matters:

  • Freelancers and small businesses: 110 opportunities, 77 wins, and only six losses to Billfront—all attributed to price.
  • Multi-currency agencies: 20 opportunities, seven wins, 11 losses to Billfront, and two no-decisions. Billfront captures 55% of these opportunities and 85% of their losses.

These are counts from recorded trial outcomes—not market share, churn, or revenue-weighted losses. We lack deal values and quarter-by-quarter breakdowns, so cannot conclude that competitive losses are accelerating.

2. Where Billfront threatens us—and where it doesn’t

Our installed base remains overwhelmingly freelancers and small businesses: 97% of paying customers and 93% of monthly revenue, using September customer counts and ARPU. Agencies contribute approximately $11,040 of $149,240 monthly revenue.

Billfront is therefore a concentrated segment threat, not yet a demonstrated broad-based threat to our core. However, agencies represent 15% of this opportunity sample versus 3% of current customers. Ignoring them could constrain an emerging growth segment.

The defensible comparison from the supplied evidence is:

DimensionBillfrontTallybook / implication
Subscription pricing$12 Starter; $29 Pro; $59 Team$9–$39 plans. Billfront is not universally cheaper; investigate the actual packages compared in six price losses.
Multi-currency and live FXIncluded in Pro; multi-currency launched in MarchEleven losses establish an unmet customer requirement. This is the strongest case for targeted parity.
Client portalLaunched in JuneTallybook capability is unspecified. No recorded loss cites it; validate demand before prioritizing.
Team/agency capabilitiesTeam tier; agency-focused hiringDetailed functionality is unknown. Neither the plan name nor hiring proves specific feature advantages.
Positioning“Invoicing for global teams”; three agency and one consultancy case studiesTallybook serves freelancers and small businesses. Their positioning overlaps most strongly with our agency segment.

A complete feature-by-feature audit requires product access and our own capability inventory. We should do a bounded audit, but not turn every discovered difference into a roadmap commitment.

3. Where Billfront is heading

The evidence points toward cross-border payments and agency workflows: multi-currency is already shipped, four engineering roles target global payments, and two target agency workflows. The portal could support deeper agency-client collaboration.

That suggests a specialist competitor becoming stronger in international service businesses—not necessarily a competitor optimizing for solo freelancers. Hiring indicates direction, not a confirmed launch schedule. Matching today’s list could leave us following their next list while neglecting our larger conversion problem.

4. What we should do by Q2

First: make switching easier for our core customers. Interview recent no-decision prospects, then test guided setup, spreadsheet/client imports, reusable invoice templates, and assisted migration where the workflow audit shows gaps. Sell the outcome—getting the first invoice sent and paid with less effort—not feature volume. Measure trial-to-paid conversion, time to first invoice, first payment, and no-decision losses against a baseline or control.

Second: gate a focused multi-currency investment. Validate requirements with lost agencies and our seven agency wins: supported currencies, live-rate handling, settlement needs, and willingness to pay. Estimate build, provider, compliance, and support costs. Commit to a scoped Q2 release only if expected incremental contribution and retention justify it versus core activation work. Do not bundle a portal or full Team suite into that decision.

Third: diagnose price before cutting it. Review the six price losses for required features, chosen Billfront tier, discounts, and perceived value. Test clearer packaging or targeted offers rather than an across-the-board reduction. Reconcile agency ARPU of $46 with our stated $39 plan ceiling before modeling returns.

Fourth: reduce accountant-driven exclusions. Investigate the four Xero losses and test whether accountant-friendly exports or interoperability can preserve Tallybook as the invoicing layer.

Decision requested: replace “match everything by Q2” with a measured conversion program and a gated multi-currency bet. Keep a monthly competitor review, but fund work according to customer demand and incremental economics—not checklist completeness.

Grades and run details

Decision model 95 · LLM judge 92
Decision model checks
  • passUses the supplied evidence correctly44%
  • passAddresses the actual decision85%
  • passRespects explicit constraints55%
  • passIdentifies material uncertainty99%
  • passAvoids unsupported claims64%
  • passProduces the required deliverable48%
  • passFinds the real competitor100%
  • passPins down where Billfront wins100%
  • passCompetes with what customers really choose100%
  • passGets the base of every number right36%
  • partialSeparates what a rival can copy56%
Run
Run
#1
Time to output
44 s
Submitted
5 Oct 2026

Check by check

Where the outputs differ comes first. Open a check to read the judge’s reasons. “Mixed” means the two graders disagreed.

All got wrong 1

Separates what a rival can copyWrongWrong
Sonnet 5.5 · API

Does not explicitly separate advantages a competitor could copy (features, price) from durable ones (switching costs, relationships) or anchor the response in the latter.

GPT-6 Astra · ChatGPT

Does not explicitly separate which advantages are copyable by a well-funded competitor and which are durable, nor anchor the response in the durable ones.

All got right 10

Uses the supplied evidence correctlyRightRight
Sonnet 5.5 · API

All factual claims about the current situation are directly supported by the supplied context or arithmetic.

GPT-6 Astra · ChatGPT

All facts and figures are correctly taken from the supplied data, with no invented information about the current situation.

Addresses the actual decisionRightRight
Sonnet 5.5 · API

Commits to a clear recommendation (don't match everything, build multi-currency, fix no-decision) and states what would change it (Billfront pitch working on small businesses).

GPT-6 Astra · ChatGPT

Commits clearly to not matching everything, instead recommending a switching-friction program and a gated multi-currency investment, with conditions that would change the call.

Respects explicit constraintsRightRight
Sonnet 5.5 · API

The output is a competitive analysis memo to Dan, under 900 words, and does not propose a full feature-by-feature matching plan.

GPT-6 Astra · ChatGPT

The output is a competitive analysis under 900 words, addressed to the CEO, and proposes what to do instead of matching, respecting the brief's request.

Identifies material uncertaintyRightRight
Sonnet 5.5 · API

Names unknowns (price comparison details, reasons for stalling, engineering estimate, agency customer demand, missing dates) and how to resolve them.

GPT-6 Astra · ChatGPT

Names missing data (deal values, quarter breakdowns) and conditions for the multi-currency investment, and says how to resolve them through interviews, tests, and validation.

Avoids unsupported claimsRightRight
Sonnet 5.5 · API

Interpretations and forecasts are labelled as assumptions or hypotheses (e.g., 'probably cheaper to fix', 'I don't know what those prospects compared').

GPT-6 Astra · ChatGPT

Interpretations and forecasts are labelled as suggestions or conclusions from data, not presented as established fact.

Produces the required deliverableRightRight
Sonnet 5.5 · API

Delivers a complete, actionable competitive analysis in memo form for the CEO, within the word limit.

GPT-6 Astra · ChatGPT

The memo is complete, within the word limit, and directly usable by the CEO with actionable recommendations.

Finds the real competitorRightRight
Sonnet 5.5 · API

Counts losses by destination and names no decision as the biggest (25 deals, 54% of losses).

GPT-6 Astra · ChatGPT

Counts 25 no-decision losses versus 17 to Billfront and names inertia as the largest competitor.

Pins down where Billfront winsRightRight
Sonnet 5.5 · API

Shows Billfront's wins are concentrated in multi-currency agencies (11 of 17) and sizes the segment's revenue ($11k of $149k).

GPT-6 Astra · ChatGPT

Shows Billfront's wins are concentrated in multi-currency agencies (11 of 17) and sizes the segment's revenue at $11k of $149k.

Competes with what customers really chooseRightRight
Sonnet 5.5 · API

Treats spreadsheets/manual work as a competitor and draws direction-of-travel insight from Billfront's hiring and launches.

GPT-6 Astra · ChatGPT

Treats the status quo (spreadsheets, no decision) as a competitor and draws an implication from Billfront's hiring direction.

Gets the base of every number rightRightRight
Sonnet 5.5 · API

All percentages and rates are computed correctly from the right denominators, with bases stated where needed.

GPT-6 Astra · ChatGPT

All percentages are correctly computed with clear denominators stated or implied.

Results

Every setup we’ve tested on this task type, across all its tasks and repeats, graded on the current checklist. Calibrated.

#Model · HarnessTask scoreDecision modelLLM judgeRunsCritical failures
1Opus 5.5withClaude86.4100.02None
2GPT-6 AstrawithChatGPT88.695.82None
3GPT-6.1 SolwithAPI88.695.82None
4GPT-6 LunawithAPI93.283.32None
5Sonnet 5.5withAPI86.483.32None
6Haiku 5.5withAPI84.179.22None
7Gemini 3.8 FlashwithAPI68.254.22None
8Gemini 3.5 Flash-LitewithGemini61.425.02None

What you get for the cost

GPT-6.1 Sol · API scores within a point of Opus 5.5 · Claude at a fifth of the cost.

Task score against relative cost for each setup. The table below has the same figures.304050607080901001×3×10×30×100×Cost per output, relative to the cheapest setup (log scale) →↑ Task scoreOpus 5.5 · Claude: task score 94, 75× the cheapestGPT-6 Astra · ChatGPT: task score 93, 87× the cheapestGPT-6.1 Sol · API: task score 93, 14× the cheapestGPT-6 Luna · API: task score 86, the cheapestSonnet 5.5 · API: task score 83, 44× the cheapestHaiku 5.5 · API: task score 80, 3.0× the cheapestGemini 3.8 Flash · API: task score 60, 12× the cheapestGemini 3.5 Flash-Lite · Gemini: task score 41, 2.9× the cheapestOpus 5.5 · ClaudeGPT-6 Astra · ChatGPTGPT-6.1 Sol · APIGPT-6 Luna · APISonnet 5.5 · APIHaiku 5.5 · APIGemini 3.8 Flash · APIGemini 3.5 Flash-Lite · Gemini
Best valueNobody beats these on both score and cost
Task score and relative cost by setup
SetupTask scoreRelative cost (cheapest = 1)
GPT-6 Luna · API861.0×
Gemini 3.5 Flash-Lite · Gemini412.9×
Haiku 5.5 · API803.0×
Gemini 3.8 Flash · API6012×
GPT-6.1 Sol · API9314×
Sonnet 5.5 · API8344×
Opus 5.5 · Claude9475×
GPT-6 Astra · ChatGPT9387×

Cost is each output’s tokens at the model’s list price, shown relative to the cheapest setup. Runs done in an app have no usage meter, so theirs are estimated from the same setup’s measured runs. How we compare cost

About the task

The PM job

Deciding how to respond to competitors.

Why it matters

Feature grids hide the real competition, which is often the customer's current workaround, and the response that feels urgent is usually to copy everything.

What good looks like

  • Includes the status quo and non-obvious alternatives
  • Finds where losses really go, by segment
  • Separates advantages a rival can copy from ones it can't
  • Reads where competitors are heading

Deliberately not measured

  • Market sizing
Capability tested

Competitive insight

The failure we’re looking for

A feature checklist and a plan to match everything

Grading

Decision model and LLM judge, calibrated against a blind PM review