Stop Overpaying for LLM Quality.
Most enterprises waste $15,000–$20,000 monthly running the wrong models on the wrong tasks. BlanEval finds exactly where quality drops and costs spike , then fixes both.
Interactive Lab
See the Difference Yourself
Pick any two models from 15 options. Switch across 6 enterprise use cases. See exactly where quality and cost diverge.
93%
Quality B delivers vs A
4%
Cost of B vs A
$672
Est. monthly saving (B vs A)
Expert Insight
For RAG pipelines, answer relevance and faithfulness matter most. Choosing the wrong model can result in 3× more hallucinations , an invisible quality drain that erodes user trust.
Scores are indicative benchmarks based on published evaluations. Real-world results vary by workload , that's exactly why we run workload-specific assessments.
Application Strategy
Zero Waste. Maximum Output.
The right model for one task is the wrong model for another. We map your workloads to the models that deliver the best quality-to-cost ratio , not the most impressive benchmark scores.
Internal Search & RAG
Your teams run hundreds of searches a day. Every hallucinated answer or irrelevant result is a hidden cost , in wasted time, wrong decisions, and escalations.
Up to 42% cost reductionData Extraction
When you're processing thousands of documents, small error rates compound fast. We benchmark extraction accuracy and schema compliance across models.
Up to 38% cost reductionCreative Content
Creative generation and multi-step reasoning is where most teams overspend. Quality gaps between premium and mid-tier models are often marginal.
Up to 61% cost reductionCustomer Support
AI-assisted support bots handle thousands of tickets. Resolution rate, empathy, and escalation rate directly impact customer satisfaction and support headcount.
Up to 44% cost reductionCode Generation
Copilots and internal dev tools live or die on correctness. A model that produces plausible but buggy code is more dangerous than no model at all.
Up to 35% cost reductionDocument Summarization
Legal, financial, and research teams summarize thousands of documents. Factual consistency and conciseness are non-negotiable , hallucinations in summaries cause real risk.
Up to 55% cost reductionYour Estimated Annual Savings
Based on average enterprise AI spend across these workloads.
Median outcome across assessed clients. Actual results vary.
Who We Work With
Precision Evaluation for Every Leader
Whether you own the budget, the quality bar, or the roadmap , BlanEval speaks your language.
CTO / VP Engineering
"Are we getting value from our AI budget?"
Clear cost-per-quality benchmarks. Defensible build-vs-buy decisions. Infrastructure spend tied to measurable outcomes.
Head of QA / AI Quality
"How do we actually measure LLM output quality?"
Automated evaluation frameworks. Reproducible test sets. Regression detection before production.
Product Owner
"Will users notice if we switch models?"
Side-by-side user-facing quality comparisons. Clear go/no-go signals. Fast iteration without risk.
CIO / Procurement
"How do we justify AI vendor spend?"
Vendor-neutral benchmarking. Documented evidence for procurement decisions. Ongoing cost monitoring.
50+
Agents Audited
40%+
Avg Cost Saving
100%
Quality Assurance
10k+
Evals Performed
Free Engagement
Book Your Ecosystem Assessment
We audit your current AI stack, benchmark your models against your actual workloads, and hand you a clear optimisation roadmap.
- Full audit of your current AI stack & spend
- Model-level quality benchmarks for your actual use cases
- Prioritised list of optimisation opportunities
- Written recommendation report delivered within 5 business days