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Model comparison

Gemini 1.5 Pro vs o3

Data verified

Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

35.71/100
Margin
12.2pts
winning →
OpenAI
47.89/100
0 category wins0 category wins

Public leaderboard positions: Gemini 1.5 Pro #185 (Supported); o3 #131 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 1.5 Pro and o3 share 5 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Gemini 1.5 Pro; 11 to o3.

Updated July 20, 2026
Shared results
5
Gemini 1.5 Pro only
1
o3 only
11
Comparable categories
0 / 8

Benchmark data for Gemini 1.5 Pro and o3 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 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 is priced at $2.00 input / $8.00 output per 1M tokens, versus $1.25 input / $5.00 output per 1M tokens for Gemini 1.5 Pro. Gemini 1.5 Pro has the larger context window at 2M, compared with 200K for o3.

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
CategoryGemini 1.5 ProΔo3
MathGemini 1.5 ProNot measuredMarginNo overlapo314.5

Operational comparison

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

MetricGemini 1.5 Proo3Comparison
Input / output priceUSD per 1M tokensGemini 1.5 Pro$1.25 input / $5 outputo3$2 input / $8 outputGemini 1.5 Pro has the lower combined listed price.
Generation speedtokens per secondGemini 1.5 ProNot availableo3118 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 1.5 ProNot availableo35.38 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 1.5 Pro2Mo3200KGemini 1.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 1.5 Proo3Result
τ²-bench resultsSource 80.7%Not comparable
Coding
BenchmarkGemini 1.5 Proo3Result
AA Coding IndexSource 23.6%Not comparable
AA-SciCodeSource 29.5%41.0%o3 leads
Reasoning
BenchmarkGemini 1.5 Proo3Result
AA-LCRSource 69.3%Not comparable
CritPtSource 1.1%Not comparable
Knowledge
BenchmarkGemini 1.5 Proo3Result
Artificial Analysis Intelligence IndexSource 10.0%30.4%o3 leads
AA-GPQA DiamondSource 58.9%82.7%o3 leads
AA-HLESource 4.9%20.0%o3 leads
AA-Omniscience IndexSource -15.3%Not comparable
AA-Omniscience AccuracySource 38.4%Not comparable
AA-Omniscience Hallucination RateSource 87.1%Not comparable
Math
BenchmarkGemini 1.5 Proo3Result
AA MATH-500Source 99.2%Not comparable
FrontierMath v2 (Tiers 1-3)Source 18.685%Not comparable
FrontierMath v2 (Tier 4)Source 2.083%Not comparable
Multimodal
BenchmarkGemini 1.5 Proo3Result
AA-MMMU-ProSource 55.0%70.1%o3 leads
Design Arena WebsiteSource 1069Not comparable
Inst. Following
BenchmarkGemini 1.5 Proo3Result
AA-IFBenchSource 71.4%Not comparable
Frequently Asked Questions (3)

Can I compare Gemini 1.5 Pro and o3 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 today?

Gemini 1.5 Pro: $1.25 input / $5.00 output per 1M tokens o3: $2.00 input / $8.00 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 20, 2026

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