# What your budget actually buys.

Pay only for what you use. No seats, no subscriptions. Pick a model, set a budget, and Webhound works within it — showing every search, every page visited, every dollar spent. Same pricing for Reports, Datasets, Chains, and Ask.

## Which model, which budget

Two models, one tradeoff. **Pro is smarter and more accurate** — the right pick for reports, where one mistake shows. **Flash is cheaper and faster** — the right pick for datasets, where you want more rows per dollar. Use the other combos only when you know why.

Medians · last 30d

Recommended for reports

**PremiumGPT-5.4**

### Pro report

What you want when the report has to be right. Pro is the smarter, more accurate model — it reasons through sources carefully and rarely makes things up. Use for memos, strategy docs, due diligence, anything someone will push back on.

- Smarter reasoning, higher accuracy
- Holds up to scrutiny claim-by-claim
- Best for memos, strategic analysis, deep research

| Price | Time | Sources | Description |
| --- | --- | --- | --- |
| $10 | Min | 25 min | ~20 sources, focused thesis |
| $50 | Typical | 1.5 hrs | ~60 sources, 20–30 page write-up |
| $150 | Deep | 2.5 hrs | ~150 sources, multi-chapter analysis |
| $500 | Project | 5+ hrs | ~400 sources, sprawling investigation |

**AlternativeGemini 3 Flash**

### Flash report

Cheaper and faster, but less accurate — Flash can get facts wrong or confuse similar sources. Good for casual scouting and draft-quality writeups, not for anything where accuracy is being judged.

- Roughly 4× cheaper per run than Pro
- Good for market scans, competitor lists, first drafts
- Expect occasional factual slips — verify before shipping

| Price | Time | Sources | Description |
| --- | --- | --- | --- |
| $2 | Min | 10 min | ~40 sources, short draft |
| $10 | Typical | 30 min | ~120 sources, deeper structure |
| $25 | Thorough | 50 min | ~250 sources, wide sweep |
| $50 | Massive | 1.5 hrs | ~450 sources, exhaustive scan |

Recommended for datasets

**PremiumGemini 3 Flash**

### Flash dataset

What you want when you need volume. Every row gets verified regardless of model, but Flash is faster and cheaper per row — so you can cover far more ground for the same budget. Use for lists, directories, catalogs, anywhere throughput matters.

- ~2–3× more rows per dollar than Pro
- Verifier still checks every row
- Best for company lists, product catalogs, person rosters

| Price | Time | Rows | Description |
| --- | --- | --- | --- |
| $1 | Min | 5 min | ~6 rows |
| $10 | Typical | 40 min | ~50 rows |
| $50 | Broad | 2.5 hrs | ~250 rows |
| $200 | Massive | 8+ hrs | ~800+ rows |

**AlternativeGPT-5.4**

### Pro dataset

Fewer rows, but each one is smarter. Pro is better at hard fields — interpreting ambiguous data, reasoning across multiple pages, niche domains. Use when each row needs to be right, not just present.

- Smarter on difficult or ambiguous fields
- Better at multi-page reasoning and niche domains
- Best for financial data, legal records, research-grade lookups

| Price | Time | Rows | Description |
| --- | --- | --- | --- |
| $5 | Min | 10 min | ~10 rows |
| $25 | Typical | 40 min | ~60 rows |
| $100 | Deep | 3 hrs | ~150 rows, deeper per-row |
| $250 | Project | 6+ hrs | ~350 rows, long-form extraction |

Numbers are medians from real sessions at each price point, not estimates. Your run will vary with query breadth and source availability.

### Deep read~3× cost

Turn on Deep read when precision matters more than breadth — it lets Webhound hold much more of each page in context per pass so it can reason over more material at once. Catches buried details that smaller-chunk reads miss; multiplies both cost and runtime.

| Report Type | Before | After |
| --- | --- | --- |
| Flash report | $2 | $8 |
| Pro report | $10 | $25 |
| Flash dataset | $1 | $3 |
| Pro dataset | $5 | $15 |

## Minimums at a glance

Every session has a floor so the agent has enough budget to produce something useful. You can always top up a running session.

| Session type | Model | Mode | Minimum |
| --- | --- | --- | --- |
| Report | Flash | Standard | $2 |
| Report | Pro | Standard | $10 |
| Report | Flash | Deep read | $8 |
| Report | Pro | Deep read | $25 |
| Dataset | Flash | Standard | $1 |
| Dataset | Pro | Standard | $5 |
| Dataset | Flash | Deep read | $3 |
| Dataset | Pro | Deep read | $15 |

## What each dollar breaks down into

Session cost is the sum of LLM token usage plus every scrape and search the agent made. Here's what everything costs at the margin.

### LLM tokens

**Flash · Gemini 3 Flash**  
Faster · cheaper

- Input tokens $0.75 / 1M
- Output tokens $4.50 / 1M

**Pro · GPT-5.4**  
Smarter · more accurate

- Input tokens $3.00 / 1M
- Output tokens $18.00 / 1M

Most of a session's cost is tokens. Every page the agent reads, every todo it plans, every cycle it verifies — it all passes through the LLM. Pro tokens cost ~4× more, and that's where the accuracy gap comes from.

### Search & scrape

| Operation | Cost |
| --- | --- |
| Google Search | $0.0015/ call |
| Image Search | $0.0015/ call |
| Page Visit | $0.0025/ call |
| LinkedIn Profile | $0.010/ call |
| Reddit Post | $0.010/ call |
| Social Post / Video | $0.004/ call |

A single $10 report typically runs 50–200 of these operations depending on depth. Failed scrapes don't cost anything.