Gemini 3.5 Flash at a glance

Good enough on 38/52 tasks at the 90% bar. Best value on 2 tasks.

Best fit for: Financial Analysis & Trading Decisions, Structured Data & Fact Extraction, Content Summarization & Synthesis, Long-form

Provider Gemini Model name gemini-3.5-flash

How good does a model need to be? At least 90% of the best-performing model.

Cost mode: Batch if supported Sync only

Qualifies on 38 / 52 tasks (at 90% bar) Best value on 2 tasks

Cost vs quality across all tasks

0% 25% 50% 75% 100% 7 8 9 10 Quality score (7–10) Cost-efficiency vs cheapest (1.0 = cheapest) Onboarding Subject Analysis — quality 8.63, 7.7x the cost of the cheapest good-enough option Topic Sequence Ordering — quality 8.96, 7.8x the cost of the cheapest good-enough option Structured Output Extraction — quality 9.70, 107.2x the cost of the cheapest good-enough option X Post Relevance Scoring — quality 7.39, 2.6x the cost of the cheapest good-enough option X.com Promotional Post Generation — quality 8.71, 7.2x the cost of the cheapest good-enough option Activity Feed Blurb Generation — quality 8.03, 21.1x the cost of the cheapest good-enough option Claim-Referenced Analyst Writing — quality 8.86, 6.7x the cost of the cheapest good-enough option Research Query Validation — quality 8.37, 5.5x the cost of the cheapest good-enough option Metadata Paragraph Rewriting — quality 9.10, 3.5x the cost of the cheapest good-enough option Substack Newsletter — quality 9.12, 24.1x the cost of the cheapest good-enough option Social Post Promotion — quality 8.88, 12.9x the cost of the cheapest good-enough option Subreddit Quality Vetting — quality 8.70, 7.3x the cost of the cheapest good-enough option Social Post Relevance Scoring — quality 7.89, this model IS the cheapest good-enough option ★ Trading Recommendation — quality 8.67, 2.7x the cost of the cheapest good-enough option SEC Filing Analysis — quality 8.87, 6.0x the cost of the cheapest good-enough option S-1 TOC Extraction — quality 9.38, 13.3x the cost of the cheapest good-enough option Author Living-Person Safety Check — quality 8.94, 18.3x the cost of the cheapest good-enough option Language Detection — quality 9.98, 34.6x the cost of the cheapest good-enough option Executive Summary Generation — quality 7.57, 5.6x the cost of the cheapest good-enough option Topic Report Relevance Scoring — quality 9.30, 1.3x the cost of the cheapest good-enough option Publication Title Generation — quality 8.80, 16.1x the cost of the cheapest good-enough option Markdown Newline Repair — quality 9.33, 32.5x the cost of the cheapest good-enough option Translation — quality 9.31, 21.1x the cost of the cheapest good-enough option Topic Cluster Naming — quality 8.15, 4.8x the cost of the cheapest good-enough option Topic Grouping and Client Matching — quality 8.51,



12.4x the cost of the cheapest good-enough option Engagement Triage — quality 8.56, 23.0x the cost of the cheapest good-enough option Prompt Adaptation — quality 8.71, 15.8x the cost of the cheapest good-enough option X Post Selection — quality 8.48, 37.2x the cost of the cheapest good-enough option Claim Extraction — quality 7.87, 14.1x the cost of the cheapest good-enough option Author Voice Generation — quality 9.47, 12.6x the cost of the cheapest good-enough option Author Matching — quality 8.33, 2.6x the cost of the cheapest good-enough option Direct Browse Content Synthesis — quality 9.08, this model IS the cheapest good-enough option ★ SEC S-1 Chunk Analysis — quality 8.97, 6.0x the cost of the cheapest good-enough option Claim Refinement — quality 8.31, 13.3x the cost of the cheapest good-enough option Image Prompt Generation — quality 8.85, 29.8x the cost of the cheapest good-enough option Reddit Post Generation — quality 8.73, 6.2x the cost of the cheapest good-enough option Engagement Reply Draft — quality 7.75, 6.5x the cost of the cheapest good-enough option Topic-to-Section Assignment — quality 8.99, 18.2x the cost of the cheapest good-enough option within ~1.3× of the best-value model

- 1.3–2×

- >2×

- ★ this model is the best-value pick on that task. Top-right = best quadrant. Only tasks where this model qualifies at the 90% bar are plotted.

Per-task breakdown

Task Category Quality (% of best) Confidence Overpay Direct Browse Content Synthesis★best Content Summarization &

• Synthesis 100% RANKED cheapest Social Post Relevance Scoring★best Relevance, Classification &

• Matching 100% MEDIUM cheapest Topic Report Relevance Scoringbest Relevance, Classification &

• Matching 100% MEDIUM 1.3x Author Matching Relevance, Classification &

• Matching 92% MEDIUM 2.6x X Post Relevance Scoringbest Relevance, Classification &

• Matching 100% MEDIUM 2.6x Trading Recommendationbest Financial Analysis &

• Trading Decisions 100% RANKED 2.7x Metadata Paragraph Rewriting Infrastructure &

• Utility 96% HIGH 3.5x Topic Cluster Naming Topic Organization &

• Clustering 93% RANKED 4.8x Research Query Validation Infrastructure &

• Utility 97% HIGH 5.5x Executive Summary Generation Content Summarization &

• Synthesis 95% MEDIUM 5.6x SEC Filing Analysis Financial Analysis &

• Trading Decisions 91% RANKED 6x SEC S-1 Chunk Analysis Financial Analysis &





• Trading Decisions 97% RANKED 6x Reddit Post Generationbest Social &

• Promotional Content 100% RANKED 6.2x Engagement Reply Draft Social &

• Promotional Content 92% HIGH 6.5x Claim-Referenced Analyst Writing Long-form Content Generation 91% RANKED 6.7x X.com Promotional Post Generationbest Social &

• Promotional Content 100% RANKED 7.2x Subreddit Quality Vetting Relevance, Classification &

• Matching 92% MEDIUM 7.3x Onboarding Subject Analysis Financial Analysis &

• Trading Decisions 94% RANKED 7.7x Topic Sequence Orderingbest Topic Organization &

• Clustering 100% HIGH 7.8x Topic Grouping and Client Matching Relevance, Classification &

• Matching 99% RANKED 12x Author Voice Generation Long-form Content Generation 98% RANKED 13x Social Post Promotionbest Social &

• Promotional Content 100% RANKED 13x Claim Refinement Infrastructure &

• Utility 98% HIGH 13x S-1 TOC Extractionbest Structured Data &

• Fact Extraction 100% HIGH 13x Claim Extractionbest Structured Data &

• Fact Extraction 100% RANKED 14x Prompt Adaptation Infrastructure &

• Utility 98% RANKED 16x Publication Title Generation Content Summarization &

• Synthesis 98% RANKED 16x Topic-to-Section Assignmentbest Topic Organization &

• Clustering 100% MEDIUM 18x Author Living-Person Safety Check Relevance, Classification &

• Matching 96% RANKED 18x Translation Infrastructure &

• Utility 94% MEDIUM 21x Activity Feed Blurb Generation Social &

• Promotional Content 91% RANKED 21x Engagement Triage Relevance, Classification &

• Matching 96% RANKED 23x Substack Newsletter Long-form Content Generation 99% RANKED 24x Image Prompt Generation Infrastructure &

• Utility 96% RANKED 30x Markdown Newline Repairbest Infrastructure &

• Utility 100% RANKED 32x Language Detection Relevance, Classification &

• Matching 99% RANKED 35x X Post Selection Relevance, Classification &

• Matching 97% RANKED 37x Structured Output Extraction Structured Data &

• Fact Extraction 99% RANKED 107x

Overpay — how much more you pay by running this model instead of the best-value model that clears the quality bar on that task (marked ★). "16x" means you overpay 16× — the same output for 16× the best-value good-enough option; ★ means this model is that option (no overpayment). Confidence — how sure we are about the quality score (more judgments + more agreement = higher confidence): RANKED many independent judges scored this model's outputs and their agreement is very high (most confident) — HIGH many judges have scored it and they mostly agree (well-pinned) — MEDIUM enough judges have weighed in to publish, but they disagree more than we'd like (treat with a small grain of salt). LOW-confidence cells are hidden everywhere on the site. See the methodology for the exact thresholds.

📌 Gemini 3.5 Flash
🏢 KAPUALabs
📍 Gemini