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Model comparison

GPT-4o mini vs Laguna S 2.1

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
37.87/100
No comparison
Poolside
N/A
0 category wins0 category wins

Public leaderboard positions: GPT-4o mini #183 (Supported); Laguna S 2.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4o mini and Laguna S 2.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to GPT-4o mini; 6 to Laguna S 2.1.

Updated July 21, 2026
Shared results
0
GPT-4o mini only
10
Laguna S 2.1 only
6
Comparable categories
0 / 8

Benchmark data for GPT-4o mini 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-4o mini is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1. Laguna S 2.1 has the larger context window at 1M, compared with 128K for GPT-4o mini.

Operational comparison

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

MetricGPT-4o miniLaguna S 2.1Comparison
Input / output priceUSD per 1M tokensGPT-4o mini$0.15 input / $0.6 outputLaguna S 2.1$0.1 input / $0.2 outputLaguna S 2.1 has the lower combined listed price.
Generation speedtokens per secondGPT-4o mini33 tok/sLaguna S 2.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4o mini3.16 sLaguna S 2.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4o mini128KLaguna S 2.11MLaguna S 2.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4o miniLaguna S 2.1Result
AA Agentic IndexSource 1.0%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 226Not comparable
Terminal-Bench 2.0Source 70.2%Not comparable
Toolathlon-VerifiedSource 49.7%Not comparable
Coding
BenchmarkGPT-4o miniLaguna S 2.1Result
AA-SciCodeSource 22.9%Not comparable
AA Coding IndexSource 11.4%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
Knowledge
BenchmarkGPT-4o miniLaguna S 2.1Result
Artificial Analysis Intelligence IndexSource 6.9%Not comparable
AA-GPQA DiamondSource 42.6%Not comparable
AA-HLESource 4.0%Not comparable
Multimodal
BenchmarkGPT-4o miniLaguna S 2.1Result
AA-MMMU-ProSource 41.5%Not comparable
Inst. Following
BenchmarkGPT-4o miniLaguna S 2.1Result
AA-IFBenchSource 31.0%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-4o mini 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-4o mini and Laguna S 2.1 today?

GPT-4o mini: $0.15 input / $0.60 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.

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Last updated: July 21, 2026

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