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Model comparison

Gemma 4 12B vs Laguna S 2.1

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
47.29/100
No comparison
Poolside
N/A
0 category wins0 category wins

Public leaderboard positions: Gemma 4 12B #137 (Estimated); Laguna S 2.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 12B and Laguna S 2.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 23 results are unique to Gemma 4 12B; 6 to Laguna S 2.1.

Updated July 21, 2026
Shared results
0
Gemma 4 12B only
23
Laguna S 2.1 only
6
Comparable categories
0 / 8

Benchmark data for Gemma 4 12B and Laguna S 2.1 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.

Laguna S 2.1 has the larger context window at 1M, compared with 256K for Gemma 4 12B.

Operational comparison

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

MetricGemma 4 12BLaguna S 2.1Comparison
Input / output priceUSD per 1M tokensGemma 4 12BNot availableLaguna S 2.1$0.1 input / $0.2 outputA complete price comparison is not available.
Generation speedtokens per secondGemma 4 12BNot availableLaguna S 2.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 12BNot availableLaguna S 2.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 12B256KLaguna S 2.11MLaguna S 2.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 12BLaguna S 2.1Result
τ²-bench resultsSource 36.3%Not comparable
Terminal-Bench 2.0Source 70.2%Not comparable
Toolathlon-VerifiedSource 49.7%Not comparable
Coding
BenchmarkGemma 4 12BLaguna S 2.1Result
AA-SciCodeSource 38.2%Not comparable
Terminal-Bench 2.0Source 70.2%Not comparable
SWE MultilingualSource 78.5%Not comparable
SWE-bench ProSource 59.4%Not comparable
deepSweSource 40.4%Not comparable
Reasoning
BenchmarkGemma 4 12BLaguna S 2.1Result
BBHSource 53%Not comparable
MRCRv2Source 43.4%Not comparable
AA-LCRSource 55.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGemma 4 12BLaguna S 2.1Result
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
Artificial Analysis Intelligence IndexSource 22.0%Not comparable
AA-GPQA DiamondSource 75.3%Not comparable
AA-HLESource 14.8%Not comparable
AA-Omniscience IndexSource -51.9%Not comparable
AA-Omniscience AccuracySource 16.0%Not comparable
AA-Omniscience Hallucination RateSource 80.8%Not comparable
Math
BenchmarkGemma 4 12BLaguna S 2.1Result
AIME26Source 77.5%Not comparable
Multimodal
BenchmarkGemma 4 12BLaguna S 2.1Result
MMMU-ProSource 69.1%Not comparable
MathVisionSource 79.7%Not comparable
MedXpertQA (MM)Source 48.7%Not comparable
AA-MMMU-ProSource 69.7%Not comparable
Inst. Following
BenchmarkGemma 4 12BLaguna S 2.1Result
AA-IFBenchSource 73.5%Not comparable
Frequently Asked Questions (3)

Can I compare Gemma 4 12B and Laguna S 2.1 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 4 12B and Laguna S 2.1 today?

Laguna S 2.1: $0.10 input / $0.20 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 21, 2026

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