Model comparison

GLM-5.1 vs Laguna XS.2

Data verified July 27, 2026

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

GLM-5.1

Z.AI

66.84/100

No comparison

Laguna XS.2

Poolside

N/A

2 category wins0 category wins

Public leaderboard positions: GLM-5.1 #22 (Supported); Laguna XS.2 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-5.1 and Laguna XS.2 share 2 comparable benchmark results. 2 of 8 categories are comparable. 34 results are unique to GLM-5.1; 3 to Laguna XS.2.

Updated July 27, 2026

Shared results: 2
GLM-5.1 only: 34
Laguna XS.2 only: 3
Comparable categories: 2 / 8

Treat this as a split decision. GLM-5.1 makes more sense if agentic is the priority; Laguna XS.2 is the better fit if you want the cheaper token bill or you need the larger 256K context window.

Confidence note. This is a partial-evidence comparison with 2 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

GLM-5.1 and Laguna XS.2 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.

GLM-5.1 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Laguna XS.2. That is roughly Infinityx on output cost alone. Laguna XS.2 gives you the larger context window at 256K, compared with 203K for GLM-5.1.

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 GLM-5.1 and Laguna XS.2
Category	GLM-5.1	Δ	Laguna XS.2
Agentic	GLM-5.165.4	Margin← 29.7	Laguna XS.235.7
Coding	GLM-5.161.3	Margin← 0.5	Laguna XS.260.8
Knowledge	GLM-5.152.3	MarginNo overlap	Laguna XS.2Not measured
Math	GLM-5.162.0	MarginNo overlap	Laguna XS.2Not measured

Decisive benchmark drivers

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

A · GLM-5.1B · Laguna XS.2

Terminal-Bench 2.0
Agentic
Source ↗
A 63.5%B 35.7%
Winner: GLM-5.1Δ 27.8
Terminal-Bench 2.0: GLM-5.1 scored 63.5%; Laguna XS.2 scored 35.7%. GLM-5.1 wins this benchmark.
SWE-bench Pro
Coding
Source ↗
A 58.4%B 46.3%
Winner: GLM-5.1Δ 12.1
SWE-bench Pro: GLM-5.1 scored 58.4%; Laguna XS.2 scored 46.3%. GLM-5.1 wins this benchmark.

Operational comparison

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

Metric	GLM-5.1	Laguna XS.2	Comparison
Input / output priceUSD per 1M tokens	GLM-5.1$1.4 input / $4.4 output	Laguna XS.2$0 input / $0 output	Laguna XS.2 has the lower combined listed price.
Generation speedtokens per second	GLM-5.1Not available	Laguna XS.2Not available	A complete speed comparison is not available.
First-answer latencyseconds to first token	GLM-5.1Not available	Laguna XS.2Not available	A complete latency comparison is not available.
Context windowmaximum listed tokens	GLM-5.1203K	Laguna XS.2256K	Laguna XS.2 lists the larger context window.

Benchmark Deep Dive

AgenticGLM-5.1 wins

12 benchmarks

Benchmark	GLM-5.1	Laguna XS.2	Result
Terminal-Bench 2.0Source	63.5%	35.7%	GLM-5.1 leads
BrowseCompSource	68%	—	Not comparable
τ³-bench resultsSource	70.6%	—	Not comparable
MCP AtlasSource	71.8%	—	Not comparable
CyberGymSource	68.7%	—	Not comparable
Claw-EvalSource	62.3%	—	Not comparable
AA Agentic IndexSource	29.9%	—	Not comparable
τ²-bench resultsSource	97.7%	—	Not comparable
GDPval-AASource	37.8%	—	Not comparable
Gert LabsSource	60.11%	—	Not comparable
GDPval-AASource	1256	—	Not comparable
ResearchClawBenchSource	18.2%	—	Not comparable

CodingGLM-5.1 wins

9 benchmarks

Benchmark	GLM-5.1	Laguna XS.2	Result
SWE-bench ProSource	58.4%	46.3%	GLM-5.1 leads
NL2RepoSource	42.7%	—	Not comparable
SWE-RebenchSource	62.7%	—	Not comparable
Vibe Code BenchSource	31.46%	—	Not comparable
AA Coding IndexSource	55.8%	—	Not comparable
AA-SciCodeSource	43.8%	—	Not comparable
SWE-bench VerifiedSource	—	69.9%	Not comparable
SWE MultilingualSource	—	57.7%	Not comparable
Terminal-Bench 2.0Source	—	35.7%	Not comparable

Reasoning

2 benchmarks

Benchmark	GLM-5.1	Laguna XS.2	Result
AA-LCRSource	62.3%	—	Not comparable
CritPtSource	4.6%	—	Not comparable

Knowledge

8 benchmarks

Benchmark	GLM-5.1	Laguna XS.2	Result
GPQA-DSource	86.2%	—	Not comparable
HLESource	52.3%	—	Not comparable
Artificial Analysis Intelligence IndexSource	40.2%	—	Not comparable
AA-GPQA DiamondSource	86.8%	—	Not comparable
AA-HLESource	28.0%	—	Not comparable
AA-Omniscience IndexSource	1.9%	—	Not comparable
AA-Omniscience AccuracySource	24.2%	—	Not comparable
AA-Omniscience Hallucination RateSource	29.4%	—	Not comparable

Math

6 benchmarks

Benchmark	GLM-5.1	Laguna XS.2	Result
AIME26Source	95.3%	—	Not comparable
HMMT Nov 2025Source	94.0%	—	Not comparable
HMMT Feb 2026Source	82.6%	—	Not comparable
MMAnswerBenchSource	83.8%	—	Not comparable
FrontierMath v2 (Tiers 1-3)Source	33.448%	—	Not comparable
FrontierMath v2 (Tier 4)Source	12.500%	—	Not comparable

Multimodal

1 benchmarks

Benchmark	GLM-5.1	Laguna XS.2	Result
Design Arena WebsiteSource	1299	—	Not comparable

Inst. Following

1 benchmarks

Benchmark	GLM-5.1	Laguna XS.2	Result
AA-IFBenchSource	76.3%	—	Not comparable

Frequently Asked Questions (3)

Which is better, GLM-5.1 or Laguna XS.2?

GLM-5.1 and Laguna XS.2 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, GLM-5.1 or Laguna XS.2?

GLM-5.1 has the edge for coding in this comparison, averaging 61.3 versus 60.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GLM-5.1 or Laguna XS.2?

GLM-5.1 has the edge for agentic tasks in this comparison, averaging 65.4 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Self-host vs API cost

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

GLM-5.1

API / mo$4,350

Self-host / mo$18,221

Break-even264M/day

Laguna XS.2

API / mo$0

Self-host / moNot listed

Break-even—

Proprietary model — self-hosting not applicable.

Model the full break-even

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Last updated: July 27, 2026

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