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Model comparison

Laguna XS.2 vs Llama 4 Scout

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.
Poolside
N/A
No comparison
39.08/100
0 category wins0 category wins

Public leaderboard positions: Laguna XS.2 unranked (Not scored); Llama 4 Scout #183 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Laguna XS.2 and Llama 4 Scout share 0 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Laguna XS.2; 18 to Llama 4 Scout.

Updated July 27, 2026
Shared results
0
Laguna XS.2 only
5
Llama 4 Scout only
18
Comparable categories
0 / 8

Benchmark data for Laguna XS.2 and Llama 4 Scout 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.

Llama 4 Scout has the larger context window at 10M, compared with 256K for Laguna XS.2.

Operational comparison

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

MetricLaguna XS.2Llama 4 ScoutComparison
Input / output priceUSD per 1M tokensLaguna XS.2$0 input / $0 outputLlama 4 Scout$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondLaguna XS.2Not availableLlama 4 Scout128 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenLaguna XS.2Not availableLlama 4 Scout0.70 sA complete latency comparison is not available.
Context windowmaximum listed tokensLaguna XS.2256KLlama 4 Scout10MLlama 4 Scout lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLaguna XS.2Llama 4 ScoutResult
Terminal-Bench 2.0Source 35.7%Not comparable
AA Agentic IndexSource 1.1%Not comparable
τ²-bench resultsSource 15.5%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 111Not comparable
Coding
BenchmarkLaguna XS.2Llama 4 ScoutResult
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
AA Coding IndexSource 8.2%Not comparable
AA-SciCodeSource 17.0%Not comparable
Reasoning
BenchmarkLaguna XS.2Llama 4 ScoutResult
AA-LCRSource 25.8%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkLaguna XS.2Llama 4 ScoutResult
Artificial Analysis Intelligence IndexSource 10.0%Not comparable
AA-GPQA DiamondSource 58.7%Not comparable
AA-HLESource 4.3%Not comparable
AA-Omniscience IndexSource -52.4%Not comparable
AA-Omniscience AccuracySource 14.6%Not comparable
AA-Omniscience Hallucination RateSource 78.3%Not comparable
Math
BenchmarkLaguna XS.2Llama 4 ScoutResult
FrontierMath v2 (Tiers 1-3)Source 0.000%Not comparable
Multimodal
BenchmarkLaguna XS.2Llama 4 ScoutResult
AA-MMMU-ProSource 52.9%Not comparable
Design Arena WebsiteSource 775Not comparable
Inst. Following
BenchmarkLaguna XS.2Llama 4 ScoutResult
AA-IFBenchSource 39.5%Not comparable
Frequently Asked Questions (3)

Can I compare Laguna XS.2 and Llama 4 Scout 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 Laguna XS.2 and Llama 4 Scout today?

Laguna XS.2: $0.00 input / $0.00 output per 1M tokens Llama 4 Scout: $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.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Laguna XS.2
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Llama 4 Scout
API / mo$0
Self-host / mo$2,278
Break-even
Model the full break-even

Related Comparisons

Last updated: July 27, 2026

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