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Model comparison

Gemini 1.5 Pro vs Gemma 3 27B

Data verified

Head-to-head evidence from 6 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

35.71/100
Margin
5.9pts
winning →
41.57/100
0 category wins0 category wins

Public leaderboard positions: Gemini 1.5 Pro #185 (Supported); Gemma 3 27B #164 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 1.5 Pro and Gemma 3 27B share 6 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Gemini 1.5 Pro; 10 to Gemma 3 27B.

Updated July 20, 2026
Shared results
6
Gemini 1.5 Pro only
0
Gemma 3 27B only
10
Comparable categories
0 / 8

Benchmark data for Gemini 1.5 Pro and Gemma 3 27B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 6 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.

Gemini 1.5 Pro is priced at $1.25 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 3 27B. Gemini 1.5 Pro has the larger context window at 2M, compared with 32K for Gemma 3 27B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

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

MetricGemini 1.5 ProGemma 3 27BComparison
Input / output priceUSD per 1M tokensGemini 1.5 Pro$1.25 input / $5 outputGemma 3 27B$0 input / $0 outputGemma 3 27B has the lower combined listed price.
Generation speedtokens per secondGemini 1.5 ProNot availableGemma 3 27B31 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 1.5 ProNot availableGemma 3 27B2.04 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 1.5 Pro2MGemma 3 27B32KGemini 1.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 1.5 ProGemma 3 27BResult
AA Agentic IndexSource 0.3%Not comparable
τ²-bench resultsSource 10.5%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource -144Not comparable
Coding
BenchmarkGemini 1.5 ProGemma 3 27BResult
AA Coding IndexSource 23.6%10.1%Gemini 1.5 Pro leads
AA-SciCodeSource 29.5%21.2%Gemini 1.5 Pro leads
Reasoning
BenchmarkGemini 1.5 ProGemma 3 27BResult
AA-LCRSource 5.7%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGemini 1.5 ProGemma 3 27BResult
Artificial Analysis Intelligence IndexSource 10.0%7.4%Gemini 1.5 Pro leads
AA-GPQA DiamondSource 58.9%42.8%Gemini 1.5 Pro leads
AA-HLESource 4.9%4.7%Gemini 1.5 Pro leads
AA-Omniscience IndexSource -65.9%Not comparable
AA-Omniscience AccuracySource 12.5%Not comparable
AA-Omniscience Hallucination RateSource 89.5%Not comparable
Multimodal
BenchmarkGemini 1.5 ProGemma 3 27BResult
AA-MMMU-ProSource 55.0%48.0%Gemini 1.5 Pro leads
Inst. Following
BenchmarkGemini 1.5 ProGemma 3 27BResult
AA-IFBenchSource 31.8%Not comparable
Frequently Asked Questions (3)

Can I compare Gemini 1.5 Pro and Gemma 3 27B 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 Gemma 3 27B today?

Gemini 1.5 Pro: $1.25 input / $5.00 output per 1M tokens Gemma 3 27B: $0.00 input / $0.00 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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