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Model comparison

Claude 4.1 Opus 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.
45.88/100
No comparison
Poolside
N/A
1 category wins0 category wins

Public leaderboard positions: Claude 4.1 Opus #142 (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 4.1 Opus and Laguna S 2.1 share 0 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Claude 4.1 Opus; 6 to Laguna S 2.1.

Updated July 21, 2026
Shared results
0
Claude 4.1 Opus only
4
Laguna S 2.1 only
6
Comparable categories
1 / 8

Treat this as a split decision. Claude 4.1 Opus makes more sense if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Laguna S 2.1 is the better fit if you want the cheaper token bill or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude 4.1 Opus 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 4.1 Opus is also the more expensive model on tokens at $15.00 input / $75.00 output per 1M tokens, versus $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1. That is roughly 375.0x on output cost alone. Laguna S 2.1 is the reasoning model in the pair, while Claude 4.1 Opus is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Laguna S 2.1 gives you the larger context window at 1M, compared with 200K for Claude 4.1 Opus.

Operational comparison

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

MetricClaude 4.1 OpusLaguna S 2.1Comparison
Input / output priceUSD per 1M tokensClaude 4.1 Opus$15 input / $75 outputLaguna S 2.1$0.1 input / $0.2 outputLaguna S 2.1 has the lower combined listed price.
Generation speedtokens per secondClaude 4.1 Opus29 tok/sLaguna S 2.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude 4.1 Opus1.66 sLaguna S 2.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude 4.1 Opus200KLaguna S 2.11MLaguna S 2.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 4.1 OpusLaguna S 2.1Result
JobBenchSource 21.9%Not comparable
Terminal-Bench 2.0Source 70.2%Not comparable
Toolathlon-VerifiedSource 49.7%Not comparable
CodingClaude 4.1 Opus wins
BenchmarkClaude 4.1 OpusLaguna S 2.1Result
SWE-bench VerifiedSource 74.5%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
Knowledge
BenchmarkClaude 4.1 OpusLaguna S 2.1Result
Artificial Analysis Intelligence IndexSource 28.2%Not comparable
Multimodal
BenchmarkClaude 4.1 OpusLaguna S 2.1Result
Design Arena WebsiteSource 1207Not comparable
Frequently Asked Questions (2)

Which is better, Claude 4.1 Opus or Laguna S 2.1?

Claude 4.1 Opus 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 4.1 Opus or Laguna S 2.1?

Claude 4.1 Opus has the edge for coding in this comparison, averaging 74.5 versus 59.4. Laguna S 2.1 stays close enough that the answer can still flip depending on your workload.

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Last updated: July 21, 2026

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