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Model comparison

GPT-4o mini vs o3-mini

Data verified

Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

37.14/100
Margin
9.5pts
winning →
OpenAI
46.59/100
0 category wins0 category wins

Public leaderboard positions: GPT-4o mini #192 (Supported); o3-mini #141 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4o mini and o3-mini share 4 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to GPT-4o mini; 6 to o3-mini.

Updated July 24, 2026
Shared results
4
GPT-4o mini only
6
o3-mini only
6
Comparable categories
0 / 8

Benchmark data for GPT-4o mini and o3-mini is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 evidence categories; 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-mini is priced at $1.10 input / $4.40 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for GPT-4o mini. o3-mini has the larger context window at 200K, compared with 128K for GPT-4o 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 GPT-4o mini and o3-mini
CategoryGPT-4o miniΔo3-mini
CodingGPT-4o miniNot measuredMarginNo overlapo3-mini49.3
KnowledgeGPT-4o miniNot measuredMarginNo overlapo3-mini77.2
Inst. FollowingGPT-4o miniNot measuredMarginNo overlapo3-mini93.9

Operational comparison

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

MetricGPT-4o minio3-miniComparison
Input / output priceUSD per 1M tokensGPT-4o mini$0.15 input / $0.6 outputo3-mini$1.1 input / $4.4 outputGPT-4o mini has the lower combined listed price.
Generation speedtokens per secondGPT-4o mini33 tok/so3-mini160 tok/so3-mini has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-4o mini3.16 so3-mini7.12 sGPT-4o mini reaches the first token sooner.
Context windowmaximum listed tokensGPT-4o mini128Ko3-mini200Ko3-mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4o minio3-miniResult
AA Agentic IndexSource 1.0%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 241Not comparable
τ²-bench resultsSource 28.7%Not comparable
Coding
BenchmarkGPT-4o minio3-miniResult
AA-SciCodeSource 22.9%39.9%o3-mini leads
AA Coding IndexSource 11.4%Not comparable
SWE-bench VerifiedSource 49.3%Not comparable
Knowledge
BenchmarkGPT-4o minio3-miniResult
Artificial Analysis Intelligence IndexSource 6.9%19.0%o3-mini leads
AA-GPQA DiamondSource 42.6%74.8%o3-mini leads
AA-HLESource 4.0%8.7%o3-mini leads
MMLUSource 86.9%Not comparable
GPQASource 77.2%Not comparable
Math
BenchmarkGPT-4o minio3-miniResult
AIME 2024Source 87.3%Not comparable
Multimodal
BenchmarkGPT-4o minio3-miniResult
AA-MMMU-ProSource 41.5%Not comparable
Inst. Following
BenchmarkGPT-4o minio3-miniResult
AA-IFBenchSource 31.0%Not comparable
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-4o mini and o3-mini 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 GPT-4o mini and o3-mini today?

GPT-4o mini: $0.15 input / $0.60 output per 1M tokens o3-mini: $1.10 input / $4.40 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 24, 2026