The problem

AI teams are overspending because frontier models have become the default.

is projected to be spent on enterprise LLM usage in 2026 — and it’s growing exponentially. It has now become a board-level budget line that’s still accelerating.
 months or less
of performance lag between open and proprietary models — and the gap continues to narrow.
%+
of token spend could be saved with optimized model selection.

ModelGenius fixes this.

ModelGenius is the only model discovery and validation platform that helps you find the right model for each of your workflows, and gives you proof before the switch. That includes the fastest-growing spend of all — coding agents and internal AI workflows.

The AI Economics Shift

MIT SloanJanuary 2026
The solution

Most LLM calls don’t need frontier intelligence. The problem is proving which ones.

ModelGenius turns “we think a cheaper model could work” into evidence your CFO can take to the board and your CTO can trust in production.

One platform keeps that evidence current. ModelGenius discovers where you’re overpaying, validates what’s safe to switch — on your own traffic — and monitors the model market so the answer stays true as it shifts.

Discover · Validate · Monitor
DISCOVER · 01

We find your highest-value switching opportunities.

We analyze your real traffic to identify where you may be paying frontier-model prices for work a lower-cost model can handle — then rank the opportunities by savings potential and switching risk, and surface a pool of lower-cost, strong-fit candidate models for each. As new models are released, the list refreshes.

discover · 12 workflows found
Pick one workflow to validate first
Generate AI Questions
assessment_generation / generate_ai_questions

Generate comprehension assessments for reading passages by grade and genre.

High complexityStructured / JSON~184K calls/moNow: GPT 5.2
Projected annual savings$97K/ year
Generate Text
writing / generate_text
$63K/ year
Summarize Pull Requests
eng_tools / pr_summary
$41K/ year
VALIDATE · 02

We prove it’s safe to switch and show your savings.

LLM outputs are stochastic — one test doesn’t prove anything. So we replay your traffic at scale, compare model performance across real examples, and validate each candidate with statistical rigor. You get a clear go / no-go recommendation for every opportunity, the projected savings behind it, and plain-language tools to inspect any result yourself.

replay in flight
Replaying your production traffic
Building the evidence base

Every candidate is replaying your real calls — validated against your traffic, not benchmarks.

30 in contention · analyzing…
0calls replayed
Validation complete
Business decision Safe to switch
Recommended model
Deepseek V3.1 Terminus DeepSeek OSS
99.2% confident it’s safe
−4% · More regressionsFewer regressions · +4%
Est. annual savings
$97K/yr
−86% ($15K vs $112K today)
Median latency
31.3s
≈ as today
Evidence
2847
replays
MONITOR · 03

We watch the market so your routing decisions never go stale.

The right model today may not be the right model next month. ModelGenius tracks new releases, price changes, and provider updates against your validated workflows — and flags when a fresh validation is worth your time.

monitor · model market
The model market this week
NEW Kimi K3 releasedmatches the profile of 2 validated workflows Worth testing
−30% Gemini 3.1 Flash Lite price dropre-scored against your validated workflows Re-validate?
UPD Deepseek V3.2 provider updateno impact on your current policy No action
Stop paying frontier prices for non-frontier tasks.
Join the First Wave