Gemini 3 Pro vs Relace: Relace Search benchmark

Interactive Comparison Diagram

Recommended Workload Routing

Frequently Asked Questions

Which is better overall, Gemini 3 Pro or Relace: Relace Search?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Gemini 3 Pro or Relace: Relace Search?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Relace: Relace Search output tokens are $3/1M versus $5/1M. Input prices and retry rates still move the real bill.

Which is faster, Gemini 3 Pro or Relace: Relace Search?

We do not have TTFT for both models.

Which has the larger context window?

Gemini 3 Pro accepts 2M tokens versus 256k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Gemini 3 Pro and Relace: Relace Search Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.