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Model comparison

o3-mini vs o3-pro

Data verified

Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

Sibling matchup inside the o3 family.

OpenAI
47.41/100
Margin
0.9pts
winning →
OpenAI
48.33/100
0 category wins0 category wins

Public leaderboard positions: o3-mini #136 (Supported); o3-pro #127 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o3-mini and o3-pro share 2 comparable benchmark results. 0 of 8 categories are comparable. 8 results are unique to o3-mini; 0 to o3-pro.

Updated July 23, 2026
Shared results
2
o3-mini only
8
o3-pro only
0
Comparable categories
0 / 8

Benchmark data for o3-mini and o3-pro is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

o3-pro is priced at $20.00 input / $80.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini.

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 o3-mini and o3-pro
Categoryo3-miniΔo3-pro
Codingo3-mini49.3MarginNo overlapo3-proNot measured
Knowledgeo3-mini77.2MarginNo overlapo3-proNot measured
Inst. Followingo3-mini93.9MarginNo overlapo3-proNot measured

Operational comparison

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

Metrico3-minio3-proComparison
Input / output priceUSD per 1M tokenso3-mini$1.1 input / $4.4 outputo3-pro$20 input / $80 outputo3-mini has the lower combined listed price.
Generation speedtokens per secondo3-mini160 tok/so3-pro27 tok/so3-mini has the higher measured throughput.
First-answer latencyseconds to first tokeno3-mini7.12 so3-pro84.93 so3-mini reaches the first token sooner.
Context windowmaximum listed tokenso3-mini200Ko3-pro200KListed context windows are equal.

Benchmark Deep Dive

Agentic
Benchmarko3-minio3-proResult
τ²-bench resultsSource 28.7%Not comparable
Coding
Benchmarko3-minio3-proResult
SWE-bench VerifiedSource 49.3%Not comparable
AA-SciCodeSource 39.9%Not comparable
Knowledge
Benchmarko3-minio3-proResult
MMLUSource 86.9%Not comparable
GPQASource 77.2%Not comparable
Artificial Analysis Intelligence IndexSource 19.0%32.5%o3-pro leads
AA-GPQA DiamondSource 74.8%84.5%o3-pro leads
AA-HLESource 8.7%Not comparable
Math
Benchmarko3-minio3-proResult
AIME 2024Source 87.3%Not comparable
Inst. Following
Benchmarko3-minio3-proResult
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Can I compare o3-mini and o3-pro on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for o3-mini and o3-pro today?

o3-mini: $1.10 input / $4.40 output per 1M tokens o3-pro: $20.00 input / $80.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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