Model comparison
o1 vs o4-mini (high)
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: o1 #129 (Estimated); o4-mini (high) #118 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. o1 and o4-mini (high) share 1 comparable benchmark result. 1 of 8 categories are comparable. 15 results are unique to o1; 1 to o4-mini (high).
Updated July 24, 2026- Shared results
- 1
- o1 only
- 15
- o4-mini (high) only
- 1
- Comparable categories
- 1 / 8
Pick o4-mini (high) if you want the stronger benchmark profile. o1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result 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
o4-mini (high) has the cleaner BenchAlign overall profile here, landing at 49.98 versus 48.1. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
o4-mini (high)'s sharpest advantage is in mathematics, where it averages 20.2 against 9.3. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 9.310% to 24.828%.
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 | Δ | o4-mini (high) |
|---|---|---|---|
| Math | o19.3 | Margin→ 10.9 | o4-mini (high)20.2 |
| Knowledge | o175.7 | MarginNo overlap | o4-mini (high)Not measured |
| Inst. Following | o192.2 | MarginNo overlap | o4-mini (high)Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 9.310%B 24.828%Winner: o4-mini (high)Δ 15.5FrontierMath v2 (Tiers 1-3): o1 scored 9.310%; o4-mini (high) scored 24.828%. o4-mini (high) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | o1 | o4-mini (high) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | o1$15 input / $60 output | o4-mini (high)Not available | A complete price comparison is not available. |
| Generation speedtokens per second | o198 tok/s | o4-mini (high)161 tok/s | o4-mini (high) has the higher measured throughput. |
| First-answer latencyseconds to first token | o132.29 s | o4-mini (high)21.94 s | o4-mini (high) reaches the first token sooner. |
| Context windowmaximum listed tokens | o1200K | o4-mini (high)200K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | o1 | o4-mini (high) | Result |
|---|---|---|---|
| τ²-bench resultsSource | 62.6% | — | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | o1 | o4-mini (high) | Result |
|---|---|---|---|
| MMLUSource | 91.8% | — | Not comparable |
| GPQASource | 75.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 23.4% | — | Not comparable |
| AA-GPQA DiamondSource | 74.7% | — | Not comparable |
| AA-HLESource | 7.7% | — | Not comparable |
| AA-Omniscience IndexSource | -10.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 34.7% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 69.3% | — | Not comparable |
Matho4-mini (high) wins2 benchmarks
Frequently Asked Questions (2)
Which is better, o1 or o4-mini (high)?
o4-mini (high) is ahead on BenchLM's BenchAlign leaderboard, 49.98 to 48.1. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 9.310% and 24.828%.
Which is better for math, o1 or o4-mini (high)?
o4-mini (high) has the edge for math in this comparison, averaging 20.2 versus 9.3. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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