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Model comparison

Gemini 1.5 Pro 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.

34.95/100
Margin
11.6pts
winning →
OpenAI
46.59/100
0 category wins0 category wins

Public leaderboard positions: Gemini 1.5 Pro #194 (Supported); o3-mini #141 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 1.5 Pro and o3-mini share 4 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Gemini 1.5 Pro; 6 to o3-mini.

Updated July 24, 2026
Shared results
4
Gemini 1.5 Pro only
2
o3-mini only
6
Comparable categories
0 / 8

Benchmark data for Gemini 1.5 Pro 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.

Gemini 1.5 Pro is priced at $1.25 input / $5.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. Gemini 1.5 Pro has the larger context window at 2M, compared with 200K 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 Gemini 1.5 Pro and o3-mini
CategoryGemini 1.5 ProΔo3-mini
CodingGemini 1.5 ProNot measuredMarginNo overlapo3-mini49.3
KnowledgeGemini 1.5 ProNot measuredMarginNo overlapo3-mini77.2
Inst. FollowingGemini 1.5 ProNot measuredMarginNo overlapo3-mini93.9

Operational comparison

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

MetricGemini 1.5 Proo3-miniComparison
Input / output priceUSD per 1M tokensGemini 1.5 Pro$1.25 input / $5 outputo3-mini$1.1 input / $4.4 outputo3-mini has the lower combined listed price.
Generation speedtokens per secondGemini 1.5 ProNot availableo3-mini160 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 1.5 ProNot availableo3-mini7.12 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 1.5 Pro2Mo3-mini200KGemini 1.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 1.5 Proo3-miniResult
τ²-bench resultsSource 28.7%Not comparable
Coding
BenchmarkGemini 1.5 Proo3-miniResult
AA Coding IndexSource 23.6%Not comparable
AA-SciCodeSource 29.5%39.9%o3-mini leads
SWE-bench VerifiedSource 49.3%Not comparable
Knowledge
BenchmarkGemini 1.5 Proo3-miniResult
Artificial Analysis Intelligence IndexSource 10.0%19.0%o3-mini leads
AA-GPQA DiamondSource 58.9%74.8%o3-mini leads
AA-HLESource 4.9%8.7%o3-mini leads
MMLUSource 86.9%Not comparable
GPQASource 77.2%Not comparable
Math
BenchmarkGemini 1.5 Proo3-miniResult
AIME 2024Source 87.3%Not comparable
Multimodal
BenchmarkGemini 1.5 Proo3-miniResult
AA-MMMU-ProSource 55.0%Not comparable
Inst. Following
BenchmarkGemini 1.5 Proo3-miniResult
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Can I compare Gemini 1.5 Pro 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 Gemini 1.5 Pro and o3-mini today?

Gemini 1.5 Pro: $1.25 input / $5.00 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