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Model comparison

Claude Opus 4.6 (Adaptive) 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.
64.18/100
No comparison
Poolside
N/A
0 category wins0 category wins

Public leaderboard positions: Claude Opus 4.6 (Adaptive) #35 (Estimated); 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 4.6 (Adaptive) and Laguna S 2.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to Claude Opus 4.6 (Adaptive); 6 to Laguna S 2.1.

Updated July 21, 2026
Shared results
0
Claude Opus 4.6 (Adaptive) only
16
Laguna S 2.1 only
6
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.6 (Adaptive) 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.

Operational comparison

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

MetricClaude Opus 4.6 (Adaptive)Laguna S 2.1Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.6 (Adaptive)Not availableLaguna S 2.1$0.1 input / $0.2 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.6 (Adaptive)Not availableLaguna S 2.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.6 (Adaptive)Not availableLaguna S 2.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.6 (Adaptive)1MLaguna S 2.11MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.6 (Adaptive)Laguna S 2.1Result
APEX-Agents-AASource 33.0%Not comparable
τ²-bench resultsSource 92.1%Not comparable
Terminal-Bench 2.0Source 70.2%Not comparable
Toolathlon-VerifiedSource 49.7%Not comparable
Coding
BenchmarkClaude Opus 4.6 (Adaptive)Laguna S 2.1Result
Vibe Code BenchSource 53.50%Not comparable
AA-SciCodeSource 51.9%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
BenchmarkClaude Opus 4.6 (Adaptive)Laguna S 2.1Result
AA-LCRSource 70.7%Not comparable
CritPtSource 12.6%Not comparable
Knowledge
BenchmarkClaude Opus 4.6 (Adaptive)Laguna S 2.1Result
Artificial Analysis Intelligence IndexSource 43.7%Not comparable
AA-GPQA DiamondSource 89.6%Not comparable
AA-HLESource 36.7%Not comparable
AA-Omniscience IndexSource 13.5%Not comparable
AA-Omniscience AccuracySource 46.4%Not comparable
AA-Omniscience Hallucination RateSource 61.3%Not comparable
Multilingual
BenchmarkClaude Opus 4.6 (Adaptive)Laguna S 2.1Result
AA Global-MMLU-LiteSource 92.2%Not comparable
Multimodal
BenchmarkClaude Opus 4.6 (Adaptive)Laguna S 2.1Result
AA-MMMU-ProSource 75.4%Not comparable
Design Arena WebsiteSource 1325Not comparable
Inst. Following
BenchmarkClaude Opus 4.6 (Adaptive)Laguna S 2.1Result
AA-IFBenchSource 53.1%Not comparable
Frequently Asked Questions (3)

Can I compare Claude Opus 4.6 (Adaptive) 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 Claude Opus 4.6 (Adaptive) 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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