Kimi K3 vs OpenAI: o3 (batch) benchmark

Interactive Comparison Diagram

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Frequently Asked Questions

Which is better overall, Kimi K3 or OpenAI: o3 (batch)?

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, Kimi K3 or OpenAI: o3 (batch)?

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?

OpenAI: o3 (batch) output tokens are $4/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Kimi K3 or OpenAI: o3 (batch)?

We do not have TTFT for both models.

Which has the larger context window?

Kimi K3 accepts 1M tokens versus 200k.

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. Kimi K3 and OpenAI: o3 (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.