o3 vs o4-mini

OpenAI vs OpenAI · Prices checked November 11, 2026

The two are closer than they look: o4-mini at $2.09 per million tokens blended, o3 at $3.80, a 45 per cent difference. A single 100K-input, 10K-output job costs $0.1540 on o4-mini against $0.2800 on o3.

Pricing and capacity

RatesUSD per million tokens. Prices checked November 11, 2026.

Published token pricing and context window for o3 and o4-mini
Metrico3o4-miniDifference
Input / 1M tokens$2.00$1.1045%
Output / 1M tokens$8.00$4.4045%
Blended · 70/30calculated$3.80$2.0945%
Blended · 50/50calculated$5.00$2.7545%
Blended · 80/20calculated$3.20$1.7645%
Blended · 20/80calculated$6.80$3.7445%
Job cost · 100K + 10Kcalculated$0.2800$0.154045%
Job cost · 1M + 100Kcalculated$2.80$1.5445%
Context window200,000200,000level

Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.

Of the 6 shared benchmarks, o3 takes 5. The widest gap is on LMArena Elo, where o3 leads by 41 points. Context is level at 200,000 tokens on each side.

Benchmarks

Benchmark scores both o3 and o4-mini report
Benchmarko3o4-miniLeader
MMLU92.9%90%o3
GPQA Diamond83.3%81.4%o3
MATH96%94%o3
HumanEval87.4%97.3%o4-mini
SWE-bench Verified69.1%68.1%o3
LMArena Elo1432 Elo1391 Eloo3

Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.

What each model is for

o3

OpenAI · Reasoning

Headline reasoning model in the o-series. Trades latency for depth on math, science and code benchmarks.

  • Best-in-class on math & science benchmarks
  • Multi-step planning
  • Tool use

o4-mini

OpenAI · Reasoning

Lower-cost reasoning model. Strong on math and code at a fraction of the o3 price.

  • Cheap reasoning
  • Fast for an o-series
  • Good math/code

Frequently asked questions

Which is cheaper, o3 or o4-mini?

The two are closer than they look: o4-mini at $2.09 per million tokens blended, o3 at $3.80, a 45 per cent difference. A single 100K-input, 10K-output job costs $0.1540 on o4-mini against $0.2800 on o3. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.

Which performs better, o3 or o4-mini?

Of the 6 shared benchmarks, o3 takes 5. The widest gap is on LMArena Elo, where o3 leads by 41 points. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.

Which has the larger context window, o3 or o4-mini?

Context is level at 200,000 tokens on each side. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.

Can I compare o3 and o4-mini on my own numbers?

Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.

Price it for your own workload

Related matchups

Terms used on this page

Prices and scores are recomputed on every deploy from the catalogue. Prices checked November 11, 2026.