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Model comparison

o1 vs o3-mini

Data verified

Head-to-head evidence from 8 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
47.14/100
Margin
0.5pts
← winning
OpenAI
46.59/100
0 category wins2 category wins

Public leaderboard positions: o1 #136 (Estimated); o3-mini #141 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o1 and o3-mini share 8 comparable benchmark results. 2 of 8 categories are comparable. 8 results are unique to o1; 2 to o3-mini.

Updated July 24, 2026
Shared results
8
o1 only
8
o3-mini only
2
Comparable categories
2 / 8

Pick o1 if you want the stronger benchmark profile. o3-mini only becomes the better choice if instruction following is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 8 shared benchmark results across 4 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

o1 has the cleaner BenchAlign overall profile here, landing at 47.14 versus 46.59. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. That is roughly 13.6x 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 scores and score margins for o1 and o3-mini
Categoryo1Δo3-mini
Inst. Followingo192.2Margin 1.7o3-mini93.9
Knowledgeo175.7Margin 1.5o3-mini77.2
Codingo1Not measuredMarginNo overlapo3-mini49.3
Matho19.3MarginNo overlapo3-miniNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · o1B · o3-mini
  1. IFEval

    Inst. Following
    Source ↗
    A 92.2%B 93.9%
    Winner: o3-miniΔ 1.7
    IFEval: o1 scored 92.2%; o3-mini scored 93.9%. o3-mini wins this benchmark.
  2. GPQA

    Knowledge
    Source ↗
    A 75.7%B 77.2%
    Winner: o3-miniΔ 1.5
    GPQA: o1 scored 75.7%; o3-mini scored 77.2%. o3-mini wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

Metrico1o3-miniComparison
Input / output priceUSD per 1M tokenso1$15 input / $60 outputo3-mini$1.1 input / $4.4 outputo3-mini has the lower combined listed price.
Generation speedtokens per secondo198 tok/so3-mini160 tok/so3-mini has the higher measured throughput.
First-answer latencyseconds to first tokeno132.29 so3-mini7.12 so3-mini reaches the first token sooner.
Context windowmaximum listed tokenso1200Ko3-mini200KListed context windows are equal.

Benchmark Deep Dive

Agentic
Benchmarko1o3-miniResult
τ²-bench resultsSource 62.6%28.7%o1 leads
Coding
Benchmarko1o3-miniResult
AA Coding IndexSource 39.7%Not comparable
AA-SciCodeSource 35.8%39.9%o3-mini leads
SWE-bench VerifiedSource 49.3%Not comparable
Reasoning
Benchmarko1o3-miniResult
AA-LCRSource 59.3%Not comparable
CritPtSource 0.3%Not comparable
Knowledgeo3-mini wins
Benchmarko1o3-miniResult
MMLUSource 91.8%86.9%o1 leads
GPQASource 75.7%77.2%o3-mini leads
Artificial Analysis Intelligence IndexSource 23.4%19.0%o1 leads
AA-GPQA DiamondSource 74.7%74.8%o3-mini leads
AA-HLESource 7.7%8.7%o3-mini leads
AA-Omniscience IndexSource -10.5%Not comparable
AA-Omniscience AccuracySource 34.7%Not comparable
AA-Omniscience Hallucination RateSource 69.3%Not comparable
Math
Benchmarko1o3-miniResult
FrontierMath v2 (Tiers 1-3)Source 9.310%Not comparable
AIME 2024Source 87.3%Not comparable
Inst. Followingo3-mini wins
Benchmarko1o3-miniResult
IFEvalSource 92.2%93.9%o3-mini leads
AA-IFBenchSource 70.3%Not comparable
Frequently Asked Questions (3)

Which is better, o1 or o3-mini?

o1 is ahead on BenchLM's BenchAlign leaderboard, 47.14 to 46.59. The biggest single separator in this matchup is IFEval, where the scores are 92.2% and 93.9%.

Which is better for knowledge tasks, o1 or o3-mini?

o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 75.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.

Which is better for instruction following, o1 or o3-mini?

o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 92.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.

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Last updated: July 24, 2026