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Model comparison

GPT-5.3 Codex vs Laguna XS.2

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.

65.75/100
No comparison
Laguna XS.2
Poolside
N/A
2 category wins0 category wins

Public leaderboard positions: GPT-5.3 Codex #30 (Supported); Laguna XS.2 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.3 Codex and Laguna XS.2 share 3 comparable benchmark results. 2 of 8 categories are comparable. 18 results are unique to GPT-5.3 Codex; 2 to Laguna XS.2.

Updated July 27, 2026
Shared results
3
GPT-5.3 Codex only
18
Laguna XS.2 only
2
Comparable categories
2 / 8

Treat this as a split decision. GPT-5.3 Codex makes more sense if agentic is the priority or you need the larger 400K 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 3 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

GPT-5.3 Codex 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-5.3 Codex is also the more expensive model on tokens at $1.75 input / $14.00 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-5.3 Codex gives you the larger context window at 400K, compared with 256K for Laguna XS.2.

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 GPT-5.3 Codex and Laguna XS.2
CategoryGPT-5.3 CodexΔLaguna XS.2
AgenticGPT-5.3 Codex71.4Margin← 35.7Laguna XS.235.7
CodingGPT-5.3 Codex67.2Margin← 6.4Laguna XS.260.8

Decisive benchmark drivers

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

More
A · GPT-5.3 CodexB · Laguna XS.2

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 77.3%B 35.7%
    Winner: GPT-5.3 CodexΔ 41.6
    Terminal-Bench 2.0: GPT-5.3 Codex scored 77.3%; Laguna XS.2 scored 35.7%. GPT-5.3 Codex wins this benchmark.

  2. SWE-bench Verified

    Coding
    Source ↗
    A 85%B 69.9%
    Winner: GPT-5.3 CodexΔ 15.1
    SWE-bench Verified: GPT-5.3 Codex scored 85%; Laguna XS.2 scored 69.9%. GPT-5.3 Codex wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 56.8%B 46.3%
    Winner: GPT-5.3 CodexΔ 10.5
    SWE-bench Pro: GPT-5.3 Codex scored 56.8%; Laguna XS.2 scored 46.3%. GPT-5.3 Codex wins this benchmark.

Operational comparison

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

MetricGPT-5.3 CodexLaguna XS.2Comparison
Input / output priceUSD per 1M tokensGPT-5.3 Codex$1.75 input / $14 outputLaguna XS.2$0 input / $0 outputLaguna XS.2 has the lower combined listed price.
Generation speedtokens per secondGPT-5.3 Codex79 tok/sLaguna XS.2Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.3 Codex88.26 sLaguna XS.2Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.3 Codex400KLaguna XS.2256KGPT-5.3 Codex lists the larger context window.

Benchmark Deep Dive

AgenticGPT-5.3 Codex wins
BenchmarkGPT-5.3 CodexLaguna XS.2Result
Terminal-Bench 2.0Source 77.3%35.7%GPT-5.3 Codex leads
OSWorld-VerifiedSource 64.7%—Not comparable
τ²-bench resultsSource 86%—Not comparable
Gert LabsSource 57.47%—Not comparable
JobBenchSource 33.7%—Not comparable
CodingGPT-5.3 Codex wins
BenchmarkGPT-5.3 CodexLaguna XS.2Result
SWE-bench VerifiedSource 85%69.9%GPT-5.3 Codex leads
SWE-bench ProSource 56.8%46.3%GPT-5.3 Codex leads
SWE-RebenchSource 58.2%—Not comparable
Vibe Code BenchSource 61.77%—Not comparable
AA-SciCodeSource 53.2%—Not comparable
SWE MultilingualSource —57.7%Not comparable
Terminal-Bench 2.0Source —35.7%Not comparable
Reasoning
BenchmarkGPT-5.3 CodexLaguna XS.2Result
AA-LCRSource 74.0%—Not comparable
CritPtSource 16.9%—Not comparable
Knowledge
BenchmarkGPT-5.3 CodexLaguna XS.2Result
Artificial Analysis Intelligence IndexSource 44.3%—Not comparable
AA-GPQA DiamondSource 91.5%—Not comparable
AA-HLESource 39.9%—Not comparable
AA-Omniscience IndexSource 9.9%—Not comparable
AA-Omniscience AccuracySource 51.8%—Not comparable
AA-Omniscience Hallucination RateSource 86.9%—Not comparable
Multimodal
BenchmarkGPT-5.3 CodexLaguna XS.2Result
AA-MMMU-ProSource 78.5%—Not comparable
Design Arena WebsiteSource 1187—Not comparable
Inst. Following
BenchmarkGPT-5.3 CodexLaguna XS.2Result
AA-IFBenchSource 75.4%—Not comparable
Frequently Asked Questions (3)

Which is better, GPT-5.3 Codex or Laguna XS.2?

GPT-5.3 Codex 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, GPT-5.3 Codex or Laguna XS.2?

GPT-5.3 Codex has the edge for coding in this comparison, averaging 67.2 versus 60.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.3 Codex or Laguna XS.2?

GPT-5.3 Codex has the edge for agentic tasks in this comparison, averaging 71.4 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: July 27, 2026

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