Model comparison
GPT-5.4 mini vs Laguna XS.2
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 mini #81 (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 mini and Laguna XS.2 share 1 comparable benchmark result. 1 of 8 categories are comparable. 29 results are unique to GPT-5.4 mini; 4 to Laguna XS.2.
Updated July 27, 2026- Shared results
- 1
- GPT-5.4 mini only
- 29
- Laguna XS.2 only
- 4
- Comparable categories
- 1 / 8
Treat this as a split decision. GPT-5.4 mini 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 1 shared benchmark result across 1 evidence category; 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 mini 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 mini is also the more expensive model on tokens at $0.75 input / $4.50 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 mini 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 | GPT-5.4 mini | Δ | Laguna XS.2 |
|---|---|---|---|
| Agentic | GPT-5.4 mini65.7 | Margin← 30.0 | Laguna XS.235.7 |
| Coding | GPT-5.4 miniNot measured | MarginNo overlap | Laguna XS.260.8 |
| Knowledge | GPT-5.4 mini47.8 | MarginNo overlap | Laguna XS.2Not measured |
| Math | GPT-5.4 mini21.7 | MarginNo overlap | Laguna XS.2Not measured |
| Multimodal | GPT-5.4 mini76.6 | MarginNo overlap | Laguna XS.2Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 60%B 35.7%Winner: GPT-5.4 miniΔ 24.3Terminal-Bench 2.0: GPT-5.4 mini scored 60%; Laguna XS.2 scored 35.7%. GPT-5.4 mini wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 mini | Laguna XS.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 mini$0.75 input / $4.5 output | Laguna XS.2$0 input / $0 output | Laguna XS.2 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.4 mini201 tok/s | Laguna XS.2Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 mini3.85 s | Laguna XS.2Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 mini400K | Laguna XS.2256K | GPT-5.4 mini lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 mini wins9 benchmarks
| Benchmark | GPT-5.4 mini | Laguna XS.2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 60% | 35.7% | GPT-5.4 mini leads |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| MCP AtlasSource | 57.7% | — | Not comparable |
| ToolathlonSource | 42.9% | — | Not comparable |
| τ²-bench resultsSource | 83.3% | — | Not comparable |
| AA Agentic IndexSource | 30.2% | — | Not comparable |
| APEX-Agents-AASource | 28.2% | — | Not comparable |
| GDPval-AASource | 33.5% | — | Not comparable |
| GDPval-AASource | 1169 | — | Not comparable |
Coding8 benchmarks
| Benchmark | GPT-5.4 mini | Laguna XS.2 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 47.97% | — | Not comparable |
| AA Coding IndexSource | 56.1% | — | Not comparable |
| AA-SciCodeSource | 49.9% | — | Not comparable |
| FrontierCode 1.1 MainSource | 27.0% | — | Not comparable |
| 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 |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GPT-5.4 mini | Laguna XS.2 | Result |
|---|---|---|---|
| GPQASource | 88% | — | Not comparable |
| HLESource | 41.5% | — | Not comparable |
| HLE w/o toolsSource | 28.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 40.0% | — | Not comparable |
| AA-GPQA DiamondSource | 87.5% | — | Not comparable |
| AA-HLESource | 26.6% | — | Not comparable |
| AA-Omniscience IndexSource | -18.7% | — | Not comparable |
| AA-Omniscience AccuracySource | 37.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 89.8% | — | Not comparable |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 mini | Laguna XS.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.3% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, GPT-5.4 mini or Laguna XS.2?
GPT-5.4 mini 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 mini or Laguna XS.2?
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.7 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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