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Model comparison

Gemma 3 27B vs Grok 4.1 Fast

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
9.7pts
winning →
51.25/100
0 category wins0 category wins

Public leaderboard positions: Gemma 3 27B #164 (Supported); Grok 4.1 Fast #107 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 3 27B and Grok 4.1 Fast share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Gemma 3 27B; 1 to Grok 4.1 Fast.

Updated July 20, 2026
Shared results
12
Gemma 3 27B only
4
Grok 4.1 Fast only
1
Comparable categories
0 / 8

Benchmark data for Gemma 3 27B and Grok 4.1 Fast 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.

Grok 4.1 Fast is priced at $0.20 input / $0.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 3 27B. Grok 4.1 Fast 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.

Operational comparison

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

MetricGemma 3 27BGrok 4.1 FastComparison
Input / output priceUSD per 1M tokensGemma 3 27B$0 input / $0 outputGrok 4.1 Fast$0.2 input / $0.5 outputGemma 3 27B has the lower combined listed price.
Generation speedtokens per secondGemma 3 27B31 tok/sGrok 4.1 Fast138 tok/sGrok 4.1 Fast has the higher measured throughput.
First-answer latencyseconds to first tokenGemma 3 27B2.04 sGrok 4.1 Fast0.54 sGrok 4.1 Fast reaches the first token sooner.
Context windowmaximum listed tokensGemma 3 27B32KGrok 4.1 Fast1MGrok 4.1 Fast lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 3 27BGrok 4.1 FastResult
AA Agentic IndexSource 0.3%Not comparable
τ²-bench resultsSource 10.5%63.7%Grok 4.1 Fast leads
GDPval-AASource 0.0%Not comparable
GDPval-AASource -144Not comparable
Gert LabsSource 47.32%Not comparable
Coding
BenchmarkGemma 3 27BGrok 4.1 FastResult
AA Coding IndexSource 10.1%Not comparable
AA-SciCodeSource 21.2%29.6%Grok 4.1 Fast leads
Reasoning
BenchmarkGemma 3 27BGrok 4.1 FastResult
AA-LCRSource 5.7%22.0%Grok 4.1 Fast leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGemma 3 27BGrok 4.1 FastResult
Artificial Analysis Intelligence IndexSource 7.4%16.9%Grok 4.1 Fast leads
AA-GPQA DiamondSource 42.8%63.7%Grok 4.1 Fast leads
AA-HLESource 4.7%5.0%Grok 4.1 Fast leads
AA-Omniscience IndexSource -65.9%-50.9%Grok 4.1 Fast leads
AA-Omniscience AccuracySource 12.5%17.0%Grok 4.1 Fast leads
AA-Omniscience Hallucination RateSource 89.5%81.8%Grok 4.1 Fast leads
Multimodal
BenchmarkGemma 3 27BGrok 4.1 FastResult
AA-MMMU-ProSource 48.0%48.4%Grok 4.1 Fast leads
Inst. Following
BenchmarkGemma 3 27BGrok 4.1 FastResult
AA-IFBenchSource 31.8%36.5%Grok 4.1 Fast leads
Frequently Asked Questions (3)

Can I compare Gemma 3 27B and Grok 4.1 Fast 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 Grok 4.1 Fast today?

Gemma 3 27B: $0.00 input / $0.00 output per 1M tokens Grok 4.1 Fast: $0.20 input / $0.50 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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