Know when to switch, route, or hold your production LLM.
PeerLM Monitors compare challengers on your production traffic, verify quality retained, and show projected savings beside a separate evidence-strength score. Every Run updates a living switch / route / hold verdict. Blind evaluation across 200+ models remains available for authored comparisons.
One sponsored comparison · 200+ models · No contract
200+
Models Supported
15+
LLM Providers
2×
Position-Swapped Judging
<5 min
First Results in Minutes
Monitors
Ship model changes with evidence, not guesswork
Connect production traffic to a Monitor. PeerLM compares candidates against a frozen control, then rolls quality retained and projected savings into a living switch / route / hold verdict.
Sources
SDK, file upload, Langfuse, Helicone, Cloudflare AI Gateway, or OpenTelemetry. Sync production traffic into each Monitor — no app rewrite required.
Observed or Replayed Control
Observed control compares challengers with the exact captured production response and makes no incumbent call. Replayed control explicitly generates both sides as they behave today.
Auto-Runs & Triggers
Weekly heartbeat, plus catalog, price, and drift. Team adds deploy triggers for Prompt CI. Run allowances keep the month bounded.
Living Verdict
Switch, route, or hold — refreshed by every Run. Quality retained, projected savings, and latency are evaluated against a frozen decision contract; evidence strength only describes support for the result.
Standing monitors start on Pro. Inference is included — you buy monitors and runs, not tokens.
Why PeerLM
Blind evaluation remains powerful supporting proof
Explore 200+ models with anonymized, shuffled Suite rankings. Production Monitors add paired position swaps and cross-provider judging.
Make Decisions More Bias-Resistant
Suites anonymize and shuffle model outputs. Monitors add paired position swaps and cross-provider panels that exclude the vendors under test.
Get Granular, Exportable Performance Data
Structured JSON scoring means each item is scored independently — not buried in free-text prose. Export directly to your analytics stack or data warehouse.
Test Every Model Against Real User Scenarios
Define personas with unique system prompts and criteria, then see exactly which model excels for which audience. No more one-size-fits-all benchmarks.
See Which Model Wins for Each Use Case
Per-persona leaderboards with best/worst performer identification, model rankings, and score distributions — the reporting quality your stakeholders expect.
Cut Costs with Smart Response Caching
Identical prompts reuse cached responses instead of regenerating. Edit a prompt and the cache auto-invalidates — iterate without waiting on the same generations twice.
Improve Repeatability and Traceability
Pin temperature to 0 and fix seeds where supported. Capability checks send only valid parameters, and each run records what was actually used.
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
Pick models, define personas, set topics — minutes, not days. Start from a template or build from scratch.
Run Blind Comparisons
Suites anonymize and shuffle ranked outputs. Monitors compare each challenger with the control in both positions using cross-provider judges.
Review Decision-Ready Evidence
Per-persona leaderboards, score matrices, and exportable reports. Share publicly or pipe into your data warehouse as CSV/JSON.
Before & After
What changes when guesswork ends
Without PeerLM
With PeerLM
Flipping between ChatGPT and Claude tabs, hoping you'll 'just know'
Automated blind ranking across dozens of real-world scenarios
Arbitrary 1–10 scores nobody can reproduce or defend
Relative ranking that surfaces true performance gaps
One prompt, tested once, by one person on a Friday afternoon
Batch evaluation across personas, topics, and criteria
'We went with GPT because… the team already had it open'
Audit-ready data your CTO and CFO can stand behind
Paying premium rates for models that underperform cheaper ones
Projected savings paired with quality retained before a switch verdict
Manually re-evaluating every time a provider drops a new model
Automatic comparison Runs triggered by model releases, price changes, and quality drift
Pricing
Simple, transparent pricing
Monitors, runs, and triggers — model inference included. No contracts — cancel anytime.
Free
one sponsored comparison
- 1 sponsored comparison
- Standard + Advanced models
- 5 judges, directional result
- 1 seat
- Reports for 7 days
Pro
2 monitors · 10 pooled runs/mo
- 150 prompts, 2 candidates
- 5 judges from a pool of 8
- Weekly + catalog, price, drift
- Inference included
- Premium candidates, API & MCP
Team
6 monitors · 60 pooled runs/mo
- Everything in Pro
- Prompt CI & GitHub Action
- Deploy triggers, no debounce
- Prompt-as-variable runs
- Reports for 180 days
Enterprise
10 monitors · 100 pooled runs default
- Everything in Team
- Frontier candidates
- Choose your own judges
- BYOK — judges and candidates
- Dedicated support & SLA
Standing monitors start on Pro. Inference is included in every paid plan.
Compare all plan featuresGet a free benchmark report for your team.
We'll run blind evaluations with your real prompts and deliver a report with clear model recommendations. Free for qualified teams.
One sponsored comparison · 200+ models · No contract