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Model comparison

Gemma 4 26B A4B vs Laguna XS.2

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.
57.08/100
No comparison
Poolside
N/A
0 category wins0 category wins

Public leaderboard positions: Gemma 4 26B A4B #74 (Supported); Laguna XS.2 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 26B A4B and Laguna XS.2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 20 results are unique to Gemma 4 26B A4B; 5 to Laguna XS.2.

Updated July 27, 2026
Shared results
0
Gemma 4 26B A4B only
20
Laguna XS.2 only
5
Comparable categories
0 / 8

Benchmark data for Gemma 4 26B A4B and Laguna XS.2 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.

Operational comparison

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

MetricGemma 4 26B A4BLaguna XS.2Comparison
Input / output priceUSD per 1M tokensGemma 4 26B A4B$0 input / $0 outputLaguna XS.2$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondGemma 4 26B A4BNot availableLaguna XS.2Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 26B A4BNot availableLaguna XS.2Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 26B A4B256KLaguna XS.2256KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 26B A4BLaguna XS.2Result
AA Agentic IndexSource 11.0%Not comparable
τ²-bench resultsSource 43.6%Not comparable
GDPval-AASource 13.5%Not comparable
GDPval-AASource 770Not comparable
Terminal-Bench 2.0Source 35.7%Not comparable
Coding
BenchmarkGemma 4 26B A4BLaguna XS.2Result
AA Coding IndexSource 39.3%Not comparable
AA-SciCodeSource 40.0%Not comparable
SWE-bench VerifiedSource 69.9%Not comparable
SWE MultilingualSource 57.7%Not comparable
SWE-bench ProSource 46.3%Not comparable
Terminal-Bench 2.0Source 35.7%Not comparable
Reasoning
BenchmarkGemma 4 26B A4BLaguna XS.2Result
AA-LCRSource 55.7%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGemma 4 26B A4BLaguna XS.2Result
MMLU-ProSource 82.6%Not comparable
HLESource 17.2%Not comparable
HLE w/o toolsSource 8.7%Not comparable
Artificial Analysis Intelligence IndexSource 25.7%Not comparable
AA-GPQA DiamondSource 79.2%Not comparable
AA-HLESource 18.3%Not comparable
AA-Omniscience IndexSource -48.1%Not comparable
AA-Omniscience AccuracySource 18.2%Not comparable
AA-Omniscience Hallucination RateSource 80.9%Not comparable
Multimodal
BenchmarkGemma 4 26B A4BLaguna XS.2Result
MMMU-ProSource 73.8%Not comparable
AA-MMMU-ProSource 69.2%Not comparable
Inst. Following
BenchmarkGemma 4 26B A4BLaguna XS.2Result
AA-IFBenchSource 72.4%Not comparable
Frequently Asked Questions (3)

Can I compare Gemma 4 26B A4B and Laguna XS.2 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 26B A4B and Laguna XS.2 today?

Gemma 4 26B A4B: $0.00 input / $0.00 output per 1M tokens Laguna XS.2: $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 27, 2026

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