> Compare vision models on your documents

Upload documents, define JSON schemas, benchmark 50+ vision models. Find the most accurate and cost-effective model for your extraction needs.

Coming soon See how it works
Side-by-side comparison
Results in minutes
Benchmark results
4 models 12 documents
# Model Schema Accuracy Cost Speed Tokens Value Success
1 gemini-2.0-flash 97.5% 96.8% 0.12¢ 1.2s 12.5K 80,667 100%
2 claude-3.5-sonnet 96.2% 95.2% 0.45¢ 2.1s 18.2K 21,156 100%
3 gpt-4o 95.8% 94.1% 0.38¢ 1.8s 15.8K 24,763 92%
4 mistral-large 93.1% 91.5% 0.24¢ 1.5s 14.2K 38,125 83%
Best accuracy 96.8%
Lowest cost 0.12¢
Fastest 1.2s
Avg success 94%
Total runs 48

## How it works

See how teams benchmark 50+ AI models in minutes

01

Upload documents

PDFs, images, scanned documents. Any format vision models can process.

02

Define your schema

Create a JSON schema that describes exactly what data you want to extract.

03

Select models

Choose which models to benchmark. Compare up to 50+ vision-capable LLMs.

04

Compare results

Get accuracy scores, cost breakdowns, and visual diffs. Pick your winner.

## Features

Everything you need to benchmark document extraction

Multi-model comparison

Run one benchmark and compare GPT-4V, Claude, Gemini, and 50+ other vision models side by side.

Custom JSON schemas

Define exactly what data to extract with your own JSON schema. Works with any document type.

Accuracy scoring

Ground truth comparison and schema validation. Know exactly which model extracts most accurately.

Cost analysis

Track per-document costs, tokens, and latency. Find the best value for your use case.

Visual diff viewer

See exactly where models differ with side-by-side comparison and highlighted differences.

Project management

Organize benchmarks by use case. Upload documents, manage schemas, track history.

Prompt Lab

Test prompts across models with LLM-as-Judge evaluation. Optimize for consistency without manual ground truth.

## Prompt Lab

Systematic prompt testing with automated evaluation

Stop guessing which prompt works best. Create test cases, run them across models, and let AI judges score the results. No manual ground truth needed.

LLM-as-Judge

Automated quality scoring without manual ground truth

Multi-model comparison

Test same prompts across models side-by-side

Prompt optimization

Iterate quickly with objective evaluation scores

Robustness testing

Measure consistency across varied inputs

Prompt Lab results
3 models 4 test cases
Judge: gpt-4-turbo Active
Test case claude-3.5 gpt-4o gemini-2.0
Greeting response 97 95 92
Factual question 96 98 94
Creative task 91 87 89
Reasoning 94 92 88
Average 94.5 93.0 90.8
Best performer claude-3.5
Avg robustness 0.92
Highest score 98
Tests run 12

## Use cases

Extract structured data from any document type

Invoices & receipts

Line items, totals, tax breakdowns, vendor details

Finance
Ready

Contracts

Parties, terms, dates, obligations, signatures

Legal
Ready

Medical records

Patient data, diagnoses, treatments, lab results

Healthcare
Ready

Real estate docs

Property details, valuations, certificates, permits

Real Estate
Ready

Insurance claims

Policy numbers, damages, assessments, payouts

Insurance
Ready

Legal filings

Case numbers, parties, rulings, citations

Legal
Ready
$ llmcompare supports any document with a defined JSON schema _

## Pricing

Starter $19 /mo
  • + 100 extractions/month
  • + 1 project
  • + 15 models (Budget tier)
  • + Basic accuracy scoring
  • + Email support
Pro recommended
$49 /mo
  • + 1,000 extractions/month
  • + Unlimited projects
  • + 50+ models (All tiers)
  • + Prompt Lab + LLM-as-Judge
  • + API access
  • + Priority support
Enterprise
Custom
  • + Unlimited extractions
  • + Team & organization support
  • + SSO (SAML, OIDC)
  • + Custom model integrations
  • + Dedicated support & SLA
Contact sales

Coming soon

Stop guessing which model wins

We're working hard to bring you the best benchmarking experience.

Coming soon