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Prove which AI model is best

Agentic-first AI stack measurement. Quality up, costs down.

LLM Prover Connected
ComparisonsEvaluationsScoresBenchmarks
Comparisons

Side-by-side model comparison

Run one prompt against every model simultaneously. See quality scores, cost, and latency in a single view -- on your data, not a leaderboard.

customer_support_v3 -- 1 prompt, 3 models
claude-opus-4
96.4%
gpt-4.1
93.1%
gemini-2.5
91.8%
quality score gpt-4.1 best value -- 40% cheaper, 3pts behind
from $49/mo Start comparing ->
Evaluations

Score outputs against your standard

Define a gold standard answer or custom rubric criteria. Every model response is scored objectively -- no manual review required.

rubric eval -- 4 criteria, weighted
accuracy x3
94/91
tone x2
88/90
completeness x2
96/87
brevity x1
72/85
claude-opus-4 gpt-4.1
claude wins on weighted total
from $49/mo Start evaluating ->
Benchmarks

Scheduled benchmarks

Run prompts on a schedule against your content and standards. Track quality, cost, and latency over time, with alerts for drift.

customer_support_v3 -- 240 prompts, daily
claude-opus-4
+0.3%
gpt-4.1
-0.8%
gemini-2.5
-2.1%
gemini-2.5 flagged -- 2.1pt drop, within threshold
drift vs. 7 days ago no alerts triggered
from $129/mo Set up a suite ->
BYOE

Bring your own models, pipelines and endpoints

Benchmark private, fine-tuned, or self-hosted models alongside hosted providers. Any OpenAI-compatible endpoint. Full CI/CD integration.

llama-3-finetuned vs. hosted -- 15min schedule
llama-3-ft
95.6%
gpt-4.1
91.4%
+4.2pts quality
-60% cost
OpenAI-compatible endpoint proven with your data
from $499/mo Talk to us ->

One decision loop. Three ways in.

Automated, agentic, or hands-on. LLM Prover works the way your team works.

Agent / MCP
Any MCP-capable agent calls LLM Prover tools directly. It reads the result, reasons over the data, and acts.
Verify the current model is still optimal.
> run_comparison
job_id: cmp_a1b2c3
> get_comparison comparison_id="cmp_a1b2c3"
winner: gpt-4.1 -- quality: 93.1
decision: switch pipeline to gpt-4.1
Pipeline / API
POST from any script, CI workflow, or pipeline. Poll for the result. Route, gate, or alert based on the score.
POST /compare {models: [gpt-4.1, claude-opus-4]}
polling job_id: cmp_a1b2c3...
polling job_id: cmp_a1b2c3...
{winner: gpt-4.1, quality: 0.931}
threshold: pass -- deploying
Dashboard
Open the dashboard. Run a comparison or evaluation. Read the results. Adjust your pipeline.
support ticket triage
ModelScoreCost
claude-opus-496.4%$0.0042
gpt-4.193.1%$0.0025
best value: gpt-4.1 40% cheaper, 3pts behind

Pricing

Starter

$49/mo

Live comparisons for individuals

  • ✓ $12/mo before top-up
  • ✓ Up to 5 models per run
  • ✓ Gold standard + diagnostic scoring
  • ✓ REST API access (1 developer key)
  • ✓ 90-day history

Pro

$129/mo

Power users and small teams

  • ✓ $45/mo before top-up
  • ✓ Up to 8 models per run
  • ✓ Rubric evaluation + daily benchmarks
  • ✓ REST API + MCP (5 developer keys)
  • ✓ 1 RAG store + 1 BYOE endpoint

Pro Plus

$199/mo

Teams with serious evaluation needs

  • ✓ $73/mo before top-up
  • ✓ Up to 10 models per run
  • ✓ Compliance scoring + 4x daily benchmarks
  • ✓ REST API + MCP (10 developer keys)
  • ✓ 5 RAG stores + 5 BYOE endpoints

Enterprise

$499/mo

Full platform, unlimited scale

  • ✓ $150/mo before top-up
  • ✓ Up to 20 models per run
  • ✓ Hourly benchmarks + webhook alerts
  • ✓ REST API + MCP (50 developer keys)
  • ✓ Unlimited RAG, history, system prompts
Contact Us

Do you know what your AI is charging for?

Sometimes, the difference is not which model you pick. It is how precisely you ask.

Grok 4.3
Same task, two prompts
Latency
Vague
28.8s
Specific
5.3s
Cost per call
Vague
$0.00274
Specific
$0.00221
-82% latency -19% cost
prompting guide
GPT-4o Mini
Same task, two prompts
Latency
Vague
26.3s
Specific
1.6s
Cost per call
Vague
$0.00010
Specific
$0.00007
-94% latency -30% cost
See pricing ->