Eigencloud
Deterministic vs non-deterministic inference

DETERMINISTIC INFERENCE

Run the same prompt. OpenAI produces varied responses, while EigenAI returns a seed-controlled response you can reproduce and verify any time.

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Run a comparison

Compare OpenAI non-deterministic inference with EigenAI deterministic inference.

Demonstrates variation across repeated calls. Range: 110.

Same seed ensures identical output for matching prompts (default 42).

EigenAI is deterministic by default. Change the seed to produce alternate, yet reproducible, responses.

OpenAI
gpt-4o

Awaiting run

Repeated calls vary because sampling, hardware, and load can influence outputs.

OpenAI responses illustrate typical model variance across repeated calls with the same prompt.

Call the API multiple times and you'll see subtle differences in tone, ordering, and wording even with temperature 1.

EigenAI
gpt-oss-120b-f16

Awaiting run

Identical inputs yield identical outputs. Change the seed to explore controlled variation.

EigenAI produces bit-for-bit identical outputs for matching prompts, parameters, and seed.

Inference is reproducible across hardware and time, and anyone can verify both prompt and response integrity with EigenAI's audit trail.

EigenAI random
gpt-oss-120b-f16

Awaiting run

Demonstrates how random seeds produce distinct but reproducible outputs.

On run, we derive a numeric seed from a UUID to prompt EigenAI, highlighting how seed changes shape the response.

Capture the seed to reproduce the random output or trigger the run again for a fresh variant.