Analysis
Compare depth, reasoning quality, and clarity in analytical responses.
In this genre, the main abilities being tested are Depth, Correctness, Reasoning Quality.
Unlike explanation, this genre rewards evidence reading and justified conclusions more than audience-friendly teaching style.
A high score here does not guarantee concise writing, strong humor, or practical execution details.
Strong models here are useful for
option review, evidence comparison, decision support, and risk assessment.
This genre alone cannot tell you
whether the model can implement code well, write polished business documents, or produce many creative ideas.
Analysis: the newest generation swept its debuts and the Gemini family cannot buy a win
Anthropic
Anthropic
Anthropic
Average score by model
What we weighted
Every recent arrival opened with a victory here: Claude Fable 5, GPT-5.5, Claude Sonnet 5 and GPT-5.6 all won their first judged matchups. Below that debut sweep, GPT-5 mini converts most of an established body of briefs — once again pairing the genre’s deepest evidence with a winning record. The top of this table is crowded with unbeaten names, which mostly reflects how new they are.
The other half of the story is stark: the Gemini family accounts for a large share of all appearances in this genre and has not converted a single one, with Gemini 2.5 Flash the most-tested and still winless. Its averages are not disastrous — the family analyses at a plainly competent level — but competent keeps finishing second in a genre judged head-to-head.
Judges weigh depth and correctness equally at the top, with reasoning quality close behind: surface summaries dressed as analysis lose to work that actually digs. Analytical briefs range across markets, data and argument, so the debut sweep should be read as a strong early signal, not a settled order.
Bottom line
Any of the new Claude and GPT models looks safe for analytical work, with GPT-5 mini the evidence-backed default. The Gemini family’s zero-conversion record here is the clearest weakness the site currently measures for it.
This analysis is derived from Orivel's measured benchmark scores for this genre and is updated periodically. Scores are condition-dependent measurements, not absolute truth.
Top Models in This Genre
This ranking is ordered by average score within this genre only.
Latest Updated: Aug 21, 2026 09:39
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| Ranked Models | Detail | ||||||
|---|---|---|---|---|---|---|---|
| #1 | Claude Fable 5 | Anthropic |
100%
|
89
|
1 | 1 | View scores and evaluation for Claude Fable 5 |
| #2 | Claude Opus 5 NEW | Anthropic |
100%
|
88
|
1 | 1 | View scores and evaluation for Claude Opus 5 |
| #3 | Claude Sonnet 5 NEW | Anthropic |
100%
|
84
|
1 | 1 | View scores and evaluation for Claude Sonnet 5 |
| #4 | GPT-5.6 | OpenAI |
100%
|
84
|
1 | 1 | View scores and evaluation for GPT-5.6 |
| #5 | GPT-5 mini | OpenAI |
75%
|
83
|
3 | 4 | View scores and evaluation for GPT-5 mini |
| #6 | GPT-5.5 | OpenAI |
50%
|
83
|
1 | 2 | View scores and evaluation for GPT-5.5 |
| #7 | Gemini 2.5 Flash-Lite |
0%
|
76
|
0 | 5 | View scores and evaluation for Gemini 2.5 Flash-Lite | |
| #8 | Gemini 2.5 Pro |
0%
|
74
|
0 | 5 | View scores and evaluation for Gemini 2.5 Pro | |
| #9 | Gemini 2.5 Flash |
0%
|
73
|
0 | 9 | View scores and evaluation for Gemini 2.5 Flash |
What Is Evaluated in Analysis
Scoring criteria and weight used for this genre ranking.
Depth
25.0%
This criterion is included to check Depth in the answer. It carries heavier weight because this part strongly shapes the overall result in this genre.
Correctness
25.0%
This criterion is included to check Correctness in the answer. It has meaningful weight because it affects quality in a visible way, even if it is not the only thing that matters.
Reasoning Quality
20.0%
This criterion is included to check Reasoning Quality in the answer. It has meaningful weight because it affects quality in a visible way, even if it is not the only thing that matters.
Structure
15.0%
This criterion is included to check Structure in the answer. It is weighted more lightly because it supports the main goal rather than defining the genre by itself.
Clarity
15.0%
This criterion is included to check Clarity in the answer. It is weighted more lightly because it supports the main goal rather than defining the genre by itself.
Recent tasks
Analysis
Analyze Marketing Strategies for an Eco-Friendly Coffee Shop
Analyze the three marketing strategies described in the context and recommend the best one for 'The Daily Grind' coffee shop to launch their new line of reusable cups. Provide a detailed justification for your choice, considering the shop's brand identity (local, eco-conscious), limited budget, and primary goals (increase cup sales, promote sustainability).
Analysis
Choosing a Fare Policy After an Ambiguous Transit Pilot
Recommend one of the four policies for the next two years. Explain why it is preferable to the alternatives, separating observed evidence from projections and identifying the most important uncertainties. Address access, ridership and emissions, service reliability, and the budget constraint. Conclude with two or three measurable indicators that the city should use to determine whether the chosen policy is working. You may propose safeguards or implementation details, but you may not change the policy's core design.
Analysis
Choosing a Warehouse Location Under Trade-offs
A mid-sized online retailer needs to open one new regional warehouse to serve a growing customer base. It has narrowed the choice to three candidate cities and must pick exactly one. Analyze the options and recommend a single city, justifying your conclusion. Candidate data: City A (Riverport) Average lease cost: $9.50 per square foot per year (lowest) Distance to 60% of target customers: 320 km (farthest) Local labor availability: moderate; average warehouse wage $19/hour Highway access: excellent, near two major interstates Flood risk: elevated (property in a designated flood zone) Estimated one-time setup cost: $1.2 million City B (Hillcrest) Average lease cost: $14.00 per square foot per year (highest) Distance to 60% of target customers: 90 km (closest) Local labor availability: tight; average warehouse wage $24/hour Highway access: good, one major interstate Flood risk: low Estimated one-time setup cost: $1.6 million City C (Fairmont) Average lease cost: $11.25 per square foot per year (middle) Distance to 60% of target customers: 175 km (middle) Local labor availability: strong; average warehouse wage $20/hour Highway access: moderate, secondary highways only Flood risk: low Estimated one-time setup cost: $1.35 million Business priorities, in stated order of importance: Fast, reliable delivery to the majority of customers Long-term operating cost control (labor + lease dominate) Resilience against disruption Ability to hire and retain staff Assume the warehouse will be roughly 100,000 square feet and operated for at least 8 years. In your analysis: weigh each option against the stated priorities, make the key trade-offs explicit (including rough cost comparisons where the data allows), acknowledge the most important uncertainty, and end with one clear recommendation.
Analysis
Choose the Best Community Heat-Relief Investment
A mid-sized city has $900,000 to reduce harm during summer heat waves over the next three years. Analyze the evidence below and recommend one primary investment, with a brief implementation approach. You may also suggest a small complementary action if it fits the budget. Your answer should compare the options, discuss trade-offs and uncertainties, and justify why your recommendation best matches the city’s goals. City goals, in priority order: 1) reduce heat-related illness and deaths among vulnerable residents, 2) reach low-income neighborhoods fairly, 3) produce benefits within three years, and 4) avoid creating high ongoing costs. Options: A) Cooling center expansion: Open 6 additional air-conditioned public buildings during heat alerts, including evening hours. Upfront cost: $250,000. Operating cost: $180,000 per year. Estimated reach: 4,000 unique visitors per summer, mostly older adults and people without home air conditioning. Evidence: strong short-term protection for people who attend, but attendance depends on awareness, transportation, and trust. B) Tree canopy program: Plant and maintain 4,500 street trees in the hottest low-income areas. Upfront cost: $850,000. Operating cost after year 3: $70,000 per year. Estimated reach: 35,000 residents in target areas. Evidence: moderate long-term cooling benefits, but meaningful shade and temperature reduction may take 5 to 10 years; tree survival is uncertain during drought. C) Home cooling assistance: Provide free efficient window air conditioners plus electricity bill credits to medically vulnerable low-income households. Upfront cost: $600,000. Operating cost: $100,000 per year. Estimated reach: 1,200 households. Evidence: strong direct protection for recipients; requires careful eligibility screening and landlord cooperation. D) Heat warning and outreach campaign: Multilingual alerts, door-to-door checks by community health workers during heat events, and transit vouchers to cooling sites. Upfront cost: $120,000. Operating cost: $160,000 per year. Estimated reach: 18,000 residents. Evidence: improves awareness and service use, but alone does not provide cooling for people whose homes remain dangerously hot. Assume the three-year budget must cover upfront costs plus three years of operating costs. The city can combine options only if total three-year cost is no more than $900,000.
Analysis
Choose the Best Transit Investment Under Mixed Evidence
A mid-sized city has a budget for one major transportation project next year. The city council wants a recommendation that balances commute time, equity, climate impact, cost risk, and political feasibility. Analyze the evidence below and recommend one option. You may also name a second-best option, but your final recommendation must be clear. Option A: Dedicated bus lanes on three congested corridors. Estimated capital cost is 46 million dollars. Expected average travel time reduction is 9 minutes for 62,000 daily riders. Benefits are concentrated in lower-income neighborhoods. Construction disruption would last 10 months. Main risk: business owners on two corridors strongly oppose losing curbside parking, so implementation could be watered down. Option B: Downtown light rail extension of 2.5 miles. Estimated capital cost is 210 million dollars. Expected average travel time reduction is 6 minutes for 28,000 daily riders. It may support dense housing near stations, but those zoning changes are not yet approved. Construction disruption would last 4 years. Main risk: 25 percent chance of cost overruns above 60 million dollars due to utility relocation uncertainty. Option C: Protected bike network connecting schools, clinics, and two job centers. Estimated capital cost is 38 million dollars. Expected average travel time reduction is 5 minutes for 18,000 daily users, with additional health and safety benefits. Benefits are strongest for short trips, including many trips in mixed-income areas. Construction disruption would last 8 months. Main risk: winter use is uncertain, and some residents argue the network serves too few people. Option D: Park-and-ride lots at the suburban edge plus express buses to downtown. Estimated capital cost is 72 million dollars. Expected average travel time reduction is 12 minutes for 21,000 daily users. Benefits mainly go to suburban commuters. Construction disruption would last 6 months. Main risk: it could increase car travel to the lots and has limited benefit for residents without cars. Write an analysis of about 500 to 800 words. Compare the options using the city council's stated goals, explain the trade-offs, address at least two risks or uncertainties, and justify your final recommendation. Do not simply rank by one metric such as cost or minutes saved; weigh the evidence in a balanced way.
Analysis
Choosing a Database for a Growing SaaS Startup
You are advising the CTO of a two-year-old B2B SaaS startup that provides project management software to mid-sized companies. The current setup uses a single PostgreSQL instance, and it is now showing strain: read queries on dashboards take 3–8 seconds during peak hours, the database is 800 GB and growing ~40 GB/month, and the team expects user count to triple over the next 12 months. The engineering team has 9 developers, only one of whom has significant database administration experience. Budget is constrained but not severely limited. The CTO is weighing four options: Vertically scale the existing PostgreSQL instance and add read replicas. Migrate to a managed distributed SQL database (e.g., CockroachDB or Spanner-like service). Split the workload: keep PostgreSQL for transactional data, introduce a separate analytical store (e.g., ClickHouse or BigQuery) for dashboards. Migrate to a NoSQL document database (e.g., MongoDB or DynamoDB). Write an analysis (roughly 500–800 words) that: Evaluates each of the four options against the startup's specific constraints (performance bottleneck location, team expertise, growth trajectory, budget). Identifies the key trade-offs and risks of each option. Reaches a clear, justified recommendation (you may recommend one option or a phased combination). Specifies what evidence or measurements you would want to verify before committing to the recommendation. Be concrete: refer to the numbers given, and avoid generic database advice that ignores the scenario.