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Model comparison

Gemma 3 27B vs Gemma 4 12B

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

41.57/100
Margin
5.7pts
winning →
47.29/100
0 category wins0 category wins

Public leaderboard positions: Gemma 3 27B #164 (Supported); Gemma 4 12B #137 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 3 27B and Gemma 4 12B share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Gemma 3 27B; 11 to Gemma 4 12B.

Updated July 23, 2026
Shared results
12
Gemma 3 27B only
4
Gemma 4 12B only
11
Comparable categories
0 / 8

Benchmark data for Gemma 3 27B and Gemma 4 12B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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.

Gemma 4 12B has the larger context window at 256K, 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.

Category scores and score margins for Gemma 3 27B and Gemma 4 12B
CategoryGemma 3 27BΔGemma 4 12B
ReasoningGemma 3 27BNot measuredMarginNo overlapGemma 4 12B43.4
KnowledgeGemma 3 27BNot measuredMarginNo overlapGemma 4 12B77.5
MathGemma 3 27BNot measuredMarginNo overlapGemma 4 12B77.5
MultimodalGemma 3 27BNot measuredMarginNo overlapGemma 4 12B69.1

Operational comparison

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

MetricGemma 3 27BGemma 4 12BComparison
Input / output priceUSD per 1M tokensGemma 3 27B$0 input / $0 outputGemma 4 12BNot availableA complete price comparison is not available.
Generation speedtokens per secondGemma 3 27B31 tok/sGemma 4 12BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 3 27B2.04 sGemma 4 12BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 3 27B32KGemma 4 12B256KGemma 4 12B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 3 27BGemma 4 12BResult
AA Agentic IndexSource 0.3%Not comparable
τ²-bench resultsSource 10.5%36.3%Gemma 4 12B leads
GDPval-AASource 0.0%Not comparable
GDPval-AASource -144Not comparable
Coding
BenchmarkGemma 3 27BGemma 4 12BResult
AA Coding IndexSource 10.1%Not comparable
AA-SciCodeSource 21.2%38.2%Gemma 4 12B leads
Reasoning
BenchmarkGemma 3 27BGemma 4 12BResult
AA-LCRSource 5.7%55.3%Gemma 4 12B leads
CritPtSource 0.0%0.0%Tie
BBHSource 53%Not comparable
MRCRv2Source 43.4%Not comparable
Knowledge
BenchmarkGemma 3 27BGemma 4 12BResult
Artificial Analysis Intelligence IndexSource 7.4%22.0%Gemma 4 12B leads
AA-GPQA DiamondSource 42.8%75.3%Gemma 4 12B leads
AA-HLESource 4.7%14.8%Gemma 4 12B leads
AA-Omniscience IndexSource -65.9%-51.9%Gemma 4 12B leads
AA-Omniscience AccuracySource 12.5%16.0%Gemma 4 12B leads
AA-Omniscience Hallucination RateSource 89.5%80.8%Gemma 4 12B leads
GPQASource 78.8%Not comparable
GPQA-DSource 78.8%Not comparable
MMLU-ProSource 77.2%Not comparable
HLE w/o toolsSource 5.2%Not comparable
MMMLUSource 83.4%Not comparable
Math
BenchmarkGemma 3 27BGemma 4 12BResult
AIME26Source 77.5%Not comparable
Multimodal
BenchmarkGemma 3 27BGemma 4 12BResult
AA-MMMU-ProSource 48.0%69.7%Gemma 4 12B leads
MMMU-ProSource 69.1%Not comparable
MathVisionSource 79.7%Not comparable
MedXpertQA (MM)Source 48.7%Not comparable
Inst. Following
BenchmarkGemma 3 27BGemma 4 12BResult
AA-IFBenchSource 31.8%73.5%Gemma 4 12B leads
Frequently Asked Questions (3)

Can I compare Gemma 3 27B and Gemma 4 12B 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 Gemma 3 27B and Gemma 4 12B today?

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 23, 2026

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