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Model comparison

Laguna S 2.1 vs SWE-1.7

Data verified

Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Poolside
N/A
No comparison
Cognition
N/A
0 category wins1 category wins

Evidence parity. Laguna S 2.1 and SWE-1.7 share 3 comparable benchmark results. 1 of 8 categories are comparable. 3 results are unique to Laguna S 2.1; 1 to SWE-1.7.

Updated July 21, 2026
Shared results
3
Laguna S 2.1 only
3
SWE-1.7 only
1
Comparable categories
1 / 8

Treat this as a split decision. Laguna S 2.1 makes more sense if you need the larger 1M context window; SWE-1.7 is the better fit if agentic is the priority.

Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 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

Laguna S 2.1 and SWE-1.7 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.

Laguna S 2.1 gives you the larger context window at 1M, compared with 256K for SWE-1.7.

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 Laguna S 2.1 and SWE-1.7
CategoryLaguna S 2.1ΔSWE-1.7
AgenticLaguna S 2.170.2Margin 11.3SWE-1.781.5
CodingLaguna S 2.159.4MarginNo overlapSWE-1.7Not measured

Decisive benchmark drivers

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

More
A · Laguna S 2.1B · SWE-1.7
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 70.2%B 81.5%
    Winner: SWE-1.7Δ 11.3
    Terminal-Bench 2.0: Laguna S 2.1 scored 70.2%; SWE-1.7 scored 81.5%. SWE-1.7 wins this benchmark.

Operational comparison

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

MetricLaguna S 2.1SWE-1.7Comparison
Input / output priceUSD per 1M tokensLaguna S 2.1$0.1 input / $0.2 outputSWE-1.7Not availableA complete price comparison is not available.
Generation speedtokens per secondLaguna S 2.1Not availableSWE-1.7Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLaguna S 2.1Not availableSWE-1.7Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensLaguna S 2.11MSWE-1.7256KLaguna S 2.1 lists the larger context window.

Benchmark Deep Dive

AgenticSWE-1.7 wins
BenchmarkLaguna S 2.1SWE-1.7Result
Terminal-Bench 2.0Source 70.2%81.5%SWE-1.7 leads
Toolathlon-VerifiedSource 49.7%Not comparable
Coding
BenchmarkLaguna S 2.1SWE-1.7Result
Terminal-Bench 2.0Source 70.2%81.5%SWE-1.7 leads
SWE MultilingualSource 78.5%77.8%Laguna S 2.1 leads
SWE-bench ProSource 59.4%Not comparable
deepSweSource 40.4%Not comparable
FrontierCode 1.1 MainSource 42.3%Not comparable
Frequently Asked Questions (2)

Which is better, Laguna S 2.1 or SWE-1.7?

Laguna S 2.1 and SWE-1.7 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 agentic tasks, Laguna S 2.1 or SWE-1.7?

SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 70.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 21, 2026

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