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Model comparison

Gemma 3 27B vs GPT-4.1 mini

Data verified

Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

40.85/100
Margin
2.3pts
winning →
43.1/100
0 category wins0 category wins

Public leaderboard positions: Gemma 3 27B #173 (Supported); GPT-4.1 mini #160 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 3 27B and GPT-4.1 mini share 16 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Gemma 3 27B; 6 to GPT-4.1 mini.

Updated July 24, 2026
Shared results
16
Gemma 3 27B only
0
GPT-4.1 mini only
6
Comparable categories
0 / 8

Benchmark data for Gemma 3 27B and GPT-4.1 mini is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 16 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.

GPT-4.1 mini is priced at $0.40 input / $1.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 3 27B. GPT-4.1 mini has the larger context window at 1M, 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 GPT-4.1 mini
CategoryGemma 3 27BΔGPT-4.1 mini
CodingGemma 3 27BNot measuredMarginNo overlapGPT-4.1 mini23.6
KnowledgeGemma 3 27BNot measuredMarginNo overlapGPT-4.1 mini64.2
MathGemma 3 27BNot measuredMarginNo overlapGPT-4.1 mini4.5
Inst. FollowingGemma 3 27BNot measuredMarginNo overlapGPT-4.1 mini88.5

Operational comparison

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

MetricGemma 3 27BGPT-4.1 miniComparison
Input / output priceUSD per 1M tokensGemma 3 27B$0 input / $0 outputGPT-4.1 mini$0.4 input / $1.6 outputGemma 3 27B has the lower combined listed price.
Generation speedtokens per secondGemma 3 27B31 tok/sGPT-4.1 mini80 tok/sGPT-4.1 mini has the higher measured throughput.
First-answer latencyseconds to first tokenGemma 3 27B2.04 sGPT-4.1 mini0.76 sGPT-4.1 mini reaches the first token sooner.
Context windowmaximum listed tokensGemma 3 27B32KGPT-4.1 mini1MGPT-4.1 mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 3 27BGPT-4.1 miniResult
AA Agentic IndexSource 0.3%1.7%GPT-4.1 mini leads
τ²-bench resultsSource 10.5%52.9%GPT-4.1 mini leads
GDPval-AASource 0.0%0.4%GPT-4.1 mini leads
GDPval-AASource -119508GPT-4.1 mini leads
Coding
BenchmarkGemma 3 27BGPT-4.1 miniResult
AA Coding IndexSource 10.1%20.2%GPT-4.1 mini leads
AA-SciCodeSource 21.2%40.4%GPT-4.1 mini leads
SWE-bench VerifiedSource 23.6%Not comparable
Reasoning
BenchmarkGemma 3 27BGPT-4.1 miniResult
AA-LCRSource 5.7%42.3%GPT-4.1 mini leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGemma 3 27BGPT-4.1 miniResult
Artificial Analysis Intelligence IndexSource 7.4%14.8%GPT-4.1 mini leads
AA-GPQA DiamondSource 42.8%66.4%GPT-4.1 mini leads
AA-HLESource 4.7%4.6%Gemma 3 27B leads
AA-Omniscience IndexSource -65.9%-50.1%GPT-4.1 mini leads
AA-Omniscience AccuracySource 12.5%17.5%GPT-4.1 mini leads
AA-Omniscience Hallucination RateSource 89.5%82.0%GPT-4.1 mini leads
MMLUSource 87.5%Not comparable
GPQASource 64.2%Not comparable
Math
BenchmarkGemma 3 27BGPT-4.1 miniResult
FrontierMath v2 (Tiers 1-3)Source 4.483%Not comparable
Multimodal
BenchmarkGemma 3 27BGPT-4.1 miniResult
AA-MMMU-ProSource 48.0%58.7%GPT-4.1 mini leads
Design Arena WebsiteSource 1027Not comparable
Inst. Following
BenchmarkGemma 3 27BGPT-4.1 miniResult
AA-IFBenchSource 31.8%38.3%GPT-4.1 mini leads
IFEvalSource 88.5%Not comparable
Frequently Asked Questions (3)

Can I compare Gemma 3 27B and GPT-4.1 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 Gemma 3 27B and GPT-4.1 mini today?

Gemma 3 27B: $0.00 input / $0.00 output per 1M tokens GPT-4.1 mini: $0.40 input / $1.60 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