Model comparison
GPT-4.1 nano 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 nano #161 (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 nano and Laguna S 2.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to GPT-4.1 nano; 6 to Laguna S 2.1.
Updated July 21, 2026- Shared results
- 0
- GPT-4.1 nano only
- 21
- Laguna S 2.1 only
- 6
- Comparable categories
- 0 / 8
Benchmark data for GPT-4.1 nano and Laguna S 2.1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
GPT-4.1 nano is priced at $0.10 input / $0.40 output per 1M tokens, versus $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4.1 nano | Laguna S 2.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1 nano$0.1 input / $0.4 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 nano181 tok/s | Laguna S 2.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4.1 nano0.63 s | Laguna S 2.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4.1 nano1M | Laguna S 2.11M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | GPT-4.1 nano | Laguna S 2.1 | Result |
|---|---|---|---|
| MMLUSource | 80.1% | — | Not comparable |
| GPQASource | 50.3% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 9.6% | — | Not comparable |
| AA-GPQA DiamondSource | 51.2% | — | Not comparable |
| AA-HLESource | 3.9% | — | Not comparable |
| AA-Omniscience IndexSource | -56.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 13.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.4% | — | Not comparable |
Math1 benchmarks
| Benchmark | GPT-4.1 nano | Laguna S 2.1 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 1.034% | — | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare GPT-4.1 nano and Laguna S 2.1 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-4.1 nano and Laguna S 2.1 today?
GPT-4.1 nano: $0.10 input / $0.40 output per 1M tokens Laguna S 2.1: $0.10 input / $0.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.