Model comparison
GPT-5.4 mini vs Laguna S 2.1
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 #75 (Estimated); Laguna S 2.1 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 S 2.1 share 1 comparable benchmark result. 1 of 8 categories are comparable. 29 results are unique to GPT-5.4 mini; 5 to Laguna S 2.1.
Updated July 21, 2026- Shared results
- 1
- GPT-5.4 mini only
- 29
- Laguna S 2.1 only
- 5
- Comparable categories
- 1 / 8
Treat this as a split decision. GPT-5.4 mini makes more sense if its workflow fits your team better; Laguna S 2.1 is the better fit if agentic is the priority or 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 S 2.1 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 $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1. That is roughly 22.5x on output cost alone. Laguna S 2.1 gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
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 S 2.1 |
|---|---|---|---|
| Agentic | GPT-5.4 mini65.7 | Margin→ 4.5 | Laguna S 2.170.2 |
| Coding | GPT-5.4 miniNot measured | MarginNo overlap | Laguna S 2.159.4 |
| Knowledge | GPT-5.4 mini47.8 | MarginNo overlap | Laguna S 2.1Not measured |
| Math | GPT-5.4 mini21.7 | MarginNo overlap | Laguna S 2.1Not measured |
| Multimodal | GPT-5.4 mini76.6 | MarginNo overlap | Laguna S 2.1Not 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 70.2%Winner: Laguna S 2.1Δ 10.2Terminal-Bench 2.0: GPT-5.4 mini scored 60%; Laguna S 2.1 scored 70.2%. Laguna S 2.1 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 S 2.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 mini$0.75 input / $4.5 output | Laguna S 2.1$0.1 input / $0.2 output | Laguna S 2.1 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.4 mini201 tok/s | Laguna S 2.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 mini3.85 s | Laguna S 2.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 mini400K | Laguna S 2.11M | Laguna S 2.1 lists the larger context window. |
Benchmark Deep Dive
AgenticLaguna S 2.1 wins10 benchmarks
| Benchmark | GPT-5.4 mini | Laguna S 2.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 60% | 70.2% | Laguna S 2.1 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 | 33.6% | — | Not comparable |
| GDPval-AASource | 1171 | — | Not comparable |
| Toolathlon-VerifiedSource | — | 49.7% | Not comparable |
Coding8 benchmarks
| Benchmark | GPT-5.4 mini | Laguna S 2.1 | 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 |
| Terminal-Bench 2.0Source | — | 70.2% | Not comparable |
| SWE MultilingualSource | — | 78.5% | Not comparable |
| SWE-bench ProSource | — | 59.4% | Not comparable |
| deepSweSource | — | 40.4% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GPT-5.4 mini | Laguna S 2.1 | 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 S 2.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.3% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, GPT-5.4 mini or Laguna S 2.1?
GPT-5.4 mini and Laguna S 2.1 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 S 2.1?
Laguna S 2.1 has the edge for agentic tasks in this comparison, averaging 70.2 versus 65.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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