Model comparison
o1-pro vs o3-mini
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: o1-pro #141 (Estimated); o3-mini #136 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. o1-pro and o3-mini share 2 comparable benchmark results. 1 of 8 categories are comparable. 0 results are unique to o1-pro; 8 to o3-mini.
Updated July 24, 2026- Shared results
- 2
- o1-pro only
- 0
- o3-mini only
- 8
- Comparable categories
- 1 / 8
Pick o3-mini if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
o3-mini has the cleaner BenchAlign overall profile here, landing at 47.41 versus 45.94. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. That is roughly 136.4x on output cost alone.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | o1-pro | Δ | o3-mini |
|---|---|---|---|
| Knowledge | o1-pro79.0 | Margin← 1.8 | o3-mini77.2 |
| Coding | o1-proNot measured | MarginNo overlap | o3-mini49.3 |
| Inst. Following | o1-proNot measured | MarginNo overlap | o3-mini93.9 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 79%B 77.2%Winner: o1-proΔ 1.8GPQA: o1-pro scored 79%; o3-mini scored 77.2%. o1-pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | o1-pro | o3-mini | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | o1-pro$150 input / $600 output | o3-mini$1.1 input / $4.4 output | o3-mini has the lower combined listed price. |
| Generation speedtokens per second | o1-proNot available | o3-mini160 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | o1-proNot available | o3-mini7.12 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | o1-pro200K | o3-mini200K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | o1-pro | o3-mini | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 28.7% | Not comparable |
Coding2 benchmarks
Knowledgeo1-pro wins5 benchmarks
Math1 benchmarks
| Benchmark | o1-pro | o3-mini | Result |
|---|---|---|---|
| AIME 2024Source | — | 87.3% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | o1-pro | o3-mini | Result |
|---|---|---|---|
| IFEvalSource | — | 93.9% | Not comparable |
Frequently Asked Questions (2)
Which is better, o1-pro or o3-mini?
o3-mini is ahead on BenchLM's BenchAlign leaderboard, 47.41 to 45.94. The biggest single separator in this matchup is GPQA, where the scores are 79% and 77.2%.
Which is better for knowledge tasks, o1-pro or o3-mini?
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 77.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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