Llama 4 Maverick vs OpenAI: o3 Pro (batch) benchmark

Interactive Comparison Diagram

Recommended Workload Routing

Frequently Asked Questions

Which is better overall, Llama 4 Maverick or OpenAI: o3 Pro (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, Llama 4 Maverick or OpenAI: o3 Pro (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?

Llama 4 Maverick output tokens are $0.8/1M versus $40/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 4 Maverick or OpenAI: o3 Pro (batch)?

We do not have TTFT for both models.

Which has the larger context window?

Llama 4 Maverick accepts 1M tokens versus 200k.

Can I self-host either model?

Llama 4 Maverick is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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. Llama 4 Maverick and OpenAI: o3 Pro (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.