Live Benchmark

One answer is guaranteed.
The other isn't.

Same model, same data, run live. One path lets the LLM determine the classification. The other uses a Cydenic Ci6 engine — the LLM only explains. The architecture is the only variable.

Select scenario
Meridian Assembly Co.
Model: claude-sonnet-4-6  ·  Same version on both sides  ·  Prompts shown in full below
Runs: 0
Path 1
LLM-Determined
Claude receives the raw financial data and classification scale. It determines health and explains from first principles.
Classification
—
Tokens used
—
input + output
Est. cost
—
USD, estimated
Time
—
to classification
LLM reasoning
Path 2
Cydenic Governed
Claude receives only the governed output and explains it. The determination never touches a language model.
Classification
—
Tokens used
—
input + output
Est. cost
—
USD, estimated
Engine time
—
deterministic only
Governing conditions
—
Governed explanation
Run history — consistency across runs
Run Scenario LLM classification Governed classification Match LLM tokens Governed tokens Delta
Both paths use claude-sonnet-4-6. Cost estimated at $3.00/MTok input, $15.00/MTok output. The governed classification is deterministic — identical on every run for the same scenario. The LLM-determined classification may vary. Run the same scenario multiple times to observe variance. Source prompts are shown in full in each panel above.