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Model comparison

Claude Opus 4.8 vs Laguna S 2.1

Data verified

Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

78.34/100
No comparison
Laguna S 2.1
Poolside
N/A
2 category wins0 category wins

Public leaderboard positions: Claude Opus 4.8 #5 (Supported); Laguna S 2.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.8 and Laguna S 2.1 share 4 comparable benchmark results. 2 of 8 categories are comparable. 49 results are unique to Claude Opus 4.8; 2 to Laguna S 2.1.

Updated July 21, 2026
Shared results
4
Claude Opus 4.8 only
49
Laguna S 2.1 only
2
Comparable categories
2 / 8

Treat this as a split decision. Claude Opus 4.8 makes more sense if coding is the priority; Laguna S 2.1 is the better fit if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude Opus 4.8 and Laguna S 2.1 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Claude Opus 4.8 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1. That is roughly 125.0x on output cost alone.

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 Claude Opus 4.8 and Laguna S 2.1
CategoryClaude Opus 4.8ΔLaguna S 2.1
CodingClaude Opus 4.881.1Margin← 21.7Laguna S 2.159.4
AgenticClaude Opus 4.880.3Margin← 10.1Laguna S 2.170.2
KnowledgeClaude Opus 4.862.7MarginNo overlapLaguna S 2.1Not measured
MathClaude Opus 4.853.9MarginNo overlapLaguna S 2.1Not measured
MultimodalClaude Opus 4.877.0MarginNo overlapLaguna S 2.1Not measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude Opus 4.8B · Laguna S 2.1

  1. SWE-bench Pro

    Coding
    Source ↗
    A 69.2%B 59.4%
    Winner: Claude Opus 4.8Δ 9.8
    SWE-bench Pro: Claude Opus 4.8 scored 69.2%; Laguna S 2.1 scored 59.4%. Claude Opus 4.8 wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 74.6%B 70.2%
    Winner: Claude Opus 4.8Δ 4.4
    Terminal-Bench 2.0: Claude Opus 4.8 scored 74.6%; Laguna S 2.1 scored 70.2%. Claude Opus 4.8 wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.8Laguna S 2.1Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.8$5 input / $25 outputLaguna S 2.1$0.1 input / $0.2 outputLaguna S 2.1 has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.8Not availableLaguna S 2.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.8Not availableLaguna S 2.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.81MLaguna S 2.11MListed context windows are equal.

Benchmark Deep Dive

AgenticClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Laguna S 2.1Result
Terminal-Bench 2.0Source 74.6%70.2%Claude Opus 4.8 leads
BrowseCompSource 84.3%—Not comparable
DeepSearchQASource 93.1%—Not comparable
OSWorld-VerifiedSource 83.4%—Not comparable
Finance Agent v2Source 53.9%—Not comparable
GDPval-AASource 1594—Not comparable
MCP AtlasSource 82.2%—Not comparable
ToolathlonSource 59.9%—Not comparable
Gert LabsSource 72.97%—Not comparable
AA Agentic IndexSource 47.2%—Not comparable
τ²-bench resultsSource 94.4%—Not comparable
GDPval-AASource 54.7%—Not comparable
ResearchClawBenchSource 21.1%—Not comparable
OSWorld 2.0Source 20.6%—Not comparable
AA BriefcaseSource 1347—Not comparable
AA AutomationBenchSource 48.5%—Not comparable
AA EnterpriseOps-GymSource 44.0%—Not comparable
AA Harvey LABSource 91.1%—Not comparable
AA Tau3 BankingSource 27.6%—Not comparable
terminalBenchHardSource 58.3%—Not comparable
aaTerminalBench21Source 84.6%—Not comparable
Toolathlon-VerifiedSource —49.7%Not comparable
CodingClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Laguna S 2.1Result
SWE-bench VerifiedSource 88.6%—Not comparable
SWE-bench ProSource 69.2%59.4%Claude Opus 4.8 leads
SWE MultilingualSource 84.4%78.5%Claude Opus 4.8 leads
SWE MultimodalSource 38.4%—Not comparable
Terminal-Bench 2.0Source 74.6%70.2%Claude Opus 4.8 leads
cursorBench31Source 58.4%—Not comparable
cursorBench32Source 62.3%—Not comparable
AA Coding IndexSource 74.3%—Not comparable
AA-SciCodeSource 53.5%—Not comparable
FrontierCode 1.1 MainSource 46.5%—Not comparable
deepSweSource —40.4%Not comparable
Reasoning
BenchmarkClaude Opus 4.8Laguna S 2.1Result
AA-LCRSource 67.7%—Not comparable
CritPtSource 20.9%—Not comparable
Knowledge
BenchmarkClaude Opus 4.8Laguna S 2.1Result
GPQASource 93.6%—Not comparable
GPQA-DSource 93.6%—Not comparable
HLESource 57.9%—Not comparable
HLE w/o toolsSource 49.8%—Not comparable
Artificial Analysis Intelligence IndexSource 55.7%—Not comparable
AA-GPQA DiamondSource 92.0%—Not comparable
AA-HLESource 45.7%—Not comparable
AA-Omniscience IndexSource 27.4%—Not comparable
AA-Omniscience AccuracySource 46.6%—Not comparable
AA-Omniscience Hallucination RateSource 35.9%—Not comparable
Math
BenchmarkClaude Opus 4.8Laguna S 2.1Result
USAMO 2026Source 96.7%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 47.241%—Not comparable
FrontierMath v2 (Tier 4)Source 31.250%—Not comparable
Multilingual
BenchmarkClaude Opus 4.8Laguna S 2.1Result
INCLUDESource 87.6%—Not comparable
Multimodal
BenchmarkClaude Opus 4.8Laguna S 2.1Result
OfficeQA ProSource 66.2%—Not comparable
ScreenSpot ProSource 87.9%—Not comparable
CharXivSource 89.9%—Not comparable
CharXiv w/o toolsSource 80.5%—Not comparable
Design Arena WebsiteSource 1270—Not comparable
Inst. Following
BenchmarkClaude Opus 4.8Laguna S 2.1Result
AA-IFBenchSource 62.2%—Not comparable
Frequently Asked Questions (3)

Which is better, Claude Opus 4.8 or Laguna S 2.1?

Claude Opus 4.8 and Laguna S 2.1 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for coding, Claude Opus 4.8 or Laguna S 2.1?

Claude Opus 4.8 has the edge for coding in this comparison, averaging 81.1 versus 59.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Opus 4.8 or Laguna S 2.1?

Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.3 versus 70.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: July 21, 2026

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