Stop Guessing Which LLM Wins. Let the Data Decide.
PeerLM runs blind comparative evaluations across 200+ AI models. Anonymized responses, LLM-judged rankings, per-persona breakdowns. Make model selection a science — not a debate.
14-day free trial · 50 eval credits · No credit card required
200+
AI Models
15+
LLM Providers
0%
Evaluator Bias
<5 min
First Evaluation
Platform Capabilities
Evaluation infrastructure that enterprise AI teams actually trust
Built from first principles for rigorous, unbiased model comparison. Not another chatbot playground.
Blind Comparative Ranking
Evaluator models see anonymized, shuffled responses and rank without knowing the source — eliminating positional bias, name bias, and every other thumb on the scale.
Structured JSON Scoring
Models return structured arrays instead of free-text prose. Each item scored independently — granular, item-level performance data your analytics stack can actually use.
Persona-Based Evaluation
Test across different user personas with unique system prompts and criteria. See precisely which model excels for which audience and use case.
Per-Persona Leaderboards
Results break down by persona with best/worst performer identification, model rankings, and score distributions — the reporting quality your stakeholders expect.
Intelligent Response Caching
SHA-256 hashed cache keys mean identical prompts reuse responses at zero cost. Edit a prompt and the cache auto-invalidates — iteration is fast and cheap.
Deterministic Evaluation Mode
Pin temperature to 0 and fix seeds where supported. Capability checks ensure only valid parameters are sent — no silent failures, fully reproducible results.
How It Works
From configuration to insight in minutes
Set up an evaluation in minutes. Get results you can present to leadership.
Configure Your Evaluation
Select models, define user personas with system prompts, set topics, and specify criteria. Start from a template or build from scratch in minutes.
Blind Comparative Ranking
All responses are anonymized, shuffled, and sent to LLM judges. They rank candidates without knowing which model produced which response.
Actionable Intelligence
Per-persona leaderboards, model rankings, score matrices, raw response explorers. Share reports publicly or export as CSV/JSON for your data warehouse.
Before & After
From gut instinct to defensible data
Without PeerLM
With PeerLM
Eyeballing ChatGPT vs Claude in separate browser tabs
Automated blind ranking across dozens of real-world scenarios
Arbitrary 1–10 scores with no calibration or baseline
Relative ranking that surfaces true performance gaps
One prompt tested once, by one person
Batch evaluation across personas, topics, and criteria
No defensible answer to 'why did we choose this model?'
Audit-ready data your CTO and CFO can stand behind
Paying premium rates for models that may underperform
Data-driven selection with full cost-per-eval awareness
Pricing
Simple, transparent pricing
Start free. Upgrade when your evaluation needs scale.
Team
per workspace
- 1,000 eval credits/month
- 5 team members
- API access & webhooks
- Shareable public reports
Studio
per workspace
- 4,000 eval credits/month
- 20 team members
- Version drift detection
- Pass/fail threshold gates
- BYOK (bring your own keys)
Enterprise
tailored to your org
- Everything in Studio
- Custom eval credits/month
- Unlimited team members
- Flexible usage pricing
- Dedicated support & SLA
Eliminate model uncertainty from your AI roadmap.
Join AI engineering teams running blind evaluations at scale. 14-day free trial. 50 eval credits. No card required.
Start Free EvaluationTrusted by AI engineering teams shipping production LLM applications