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Model comparison

GPT-5.4 Pro vs Laguna XS.2

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.
60.02/100
No comparison
Poolside
N/A
1 category wins0 category wins

Public leaderboard positions: GPT-5.4 Pro #48 (Estimated); Laguna XS.2 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.4 Pro and Laguna XS.2 share 0 comparable benchmark results. 1 of 8 categories are comparable. 12 results are unique to GPT-5.4 Pro; 5 to Laguna XS.2.

Updated July 27, 2026
Shared results
0
GPT-5.4 Pro only
12
Laguna XS.2 only
5
Comparable categories
1 / 8

Treat this as a split decision. GPT-5.4 Pro makes more sense if agentic is the priority or you need the larger 1.05M context window; Laguna XS.2 is the better fit if you want the cheaper token bill.

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

GPT-5.4 Pro 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.

GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 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. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 256K for Laguna XS.2.

Operational comparison

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

MetricGPT-5.4 ProLaguna XS.2Comparison
Input / output priceUSD per 1M tokensGPT-5.4 Pro$30 input / $180 outputLaguna XS.2$0 input / $0 outputLaguna XS.2 has the lower combined listed price.
Generation speedtokens per secondGPT-5.4 Pro74 tok/sLaguna XS.2Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.4 Pro151.79 sLaguna XS.2Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.4 Pro1.05MLaguna XS.2256KGPT-5.4 Pro lists the larger context window.

Benchmark Deep Dive

AgenticGPT-5.4 Pro wins
BenchmarkGPT-5.4 ProLaguna XS.2Result
BrowseCompSource 89.3%Not comparable
Terminal-Bench 2.0Source 35.7%Not comparable
Coding
BenchmarkGPT-5.4 ProLaguna XS.2Result
SWE-bench VerifiedSource 69.9%Not comparable
SWE MultilingualSource 57.7%Not comparable
SWE-bench ProSource 46.3%Not comparable
Terminal-Bench 2.0Source 35.7%Not comparable
Reasoning
BenchmarkGPT-5.4 ProLaguna XS.2Result
ARC-AGI-2Source 83.3%Not comparable
CritPtSource 30.0%Not comparable
Knowledge
BenchmarkGPT-5.4 ProLaguna XS.2Result
HLESource 58.7%Not comparable
FrontierScienceSource 36.7%Not comparable
FrontierScience ResearchSource 36.7%Not comparable
HLE w/o toolsSource 42.7%Not comparable
Math
BenchmarkGPT-5.4 ProLaguna XS.2Result
IPhO 2025 (Theory)Source 93.5%Not comparable
FrontierMath (legacy)Source 50%Not comparable
FrontierMath v2 (Tiers 1-3)Source 50.000%Not comparable
FrontierMath v2 (Tier 4)Source 37.500%Not comparable
Multimodal
BenchmarkGPT-5.4 ProLaguna XS.2Result
MMMU-ProSource 94%Not comparable
Frequently Asked Questions (2)

Which is better, GPT-5.4 Pro or Laguna XS.2?

GPT-5.4 Pro 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 agentic tasks, GPT-5.4 Pro or Laguna XS.2?

GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 35.7. Laguna XS.2 stays close enough that the answer can still flip depending on your workload.

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Last updated: July 27, 2026

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