Model comparison
GPT-4.1 mini vs Laguna S 2.1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4.1 mini #152 (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-4.1 mini and Laguna S 2.1 share 0 comparable benchmark results. 1 of 8 categories are comparable. 22 results are unique to GPT-4.1 mini; 6 to Laguna S 2.1.
Updated July 21, 2026- Shared results
- 0
- GPT-4.1 mini only
- 22
- Laguna S 2.1 only
- 6
- Comparable categories
- 1 / 8
Treat this as a split decision. GPT-4.1 mini makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; Laguna S 2.1 is the better fit if coding is the priority or 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-4.1 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-4.1 mini is also the more expensive model on tokens at $0.40 input / $1.60 output per 1M tokens, versus $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1. That is roughly 8.0x on output cost alone. Laguna S 2.1 is the reasoning model in the pair, while GPT-4.1 mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4.1 mini | Laguna S 2.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1 mini$0.4 input / $1.6 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-4.1 mini80 tok/s | Laguna S 2.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4.1 mini0.76 s | Laguna S 2.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4.1 mini1M | Laguna S 2.11M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic6 benchmarks
CodingLaguna S 2.1 wins7 benchmarks
| Benchmark | GPT-4.1 mini | Laguna S 2.1 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 23.6% | — | Not comparable |
| AA Coding IndexSource | 20.2% | — | Not comparable |
| AA-SciCodeSource | 40.4% | — | 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
Knowledge8 benchmarks
| Benchmark | GPT-4.1 mini | Laguna S 2.1 | Result |
|---|---|---|---|
| MMLUSource | 87.5% | — | Not comparable |
| GPQASource | 64.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 14.8% | — | Not comparable |
| AA-GPQA DiamondSource | 66.4% | — | Not comparable |
| AA-HLESource | 4.6% | — | Not comparable |
| AA-Omniscience IndexSource | -50.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 17.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 82.0% | — | Not comparable |
Math1 benchmarks
| Benchmark | GPT-4.1 mini | Laguna S 2.1 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 4.483% | — | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, GPT-4.1 mini or Laguna S 2.1?
GPT-4.1 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 coding, GPT-4.1 mini or Laguna S 2.1?
Laguna S 2.1 has the edge for coding in this comparison, averaging 59.4 versus 23.6. GPT-4.1 mini stays close enough that the answer can still flip depending on your workload.
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