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Head-to-head comparison

GPT-4o-mini vs Laguna XS 2.1

GPT-4o-mini (OpenAI) and Laguna XS 2.1 (Poolside) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, Laguna XS 2.1 holds the stronger ModelCap Index position (#213 vs #216); Laguna XS 2.1 is 5× cheaper per output token ($0.12/1M vs $0.60/1M); and Laguna XS 2.1 offers the longer context window (262K vs 128K tokens).

Which should you choose?

Choose GPT-4o-mini if…

  • you want provider choice — 2 listed API providers against 1.

Choose Laguna XS 2.1 if…

  • you want the stronger overall ModelCap Index position — #213 against #216 (3.0 vs 1.1 points).
  • API cost matters — $0.12/1M output tokens against $0.60/1M, about 5× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.06/1M against $0.15/1M.
  • you need the longer context window — 262K tokens against 128K.
  • you want the more recently listed model — Laguna XS 2.1 was listed 2 July 2026, GPT-4o-mini 18 July 2024.

GPT-4o-mini vs Laguna XS 2.1: specs, pricing and context

Specification comparison of GPT-4o-mini and Laguna XS 2.1
FieldGPT-4o-miniOpenAILaguna XS 2.1Poolside
ModelCap Index position#216#213
Index score1.13.0
EvidenceMeasuredEstimated
Input price / 1M tokens$0.15$0.06
Output price / 1M tokens$0.60$0.12
Context window128K tokens262K tokens
Max output tokens16K33K
API providers listed21
Weight accessAPI onlyRestricted license
Input modalitiesText, Image, FileText
First listed18 July 20242 July 2026
PublisherOpenAIPoolside

Evidence: 2 public benchmark observations across 2 boards · placed against measured peers on publisher-reported benchmarks, discounted for self-report optimism. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-4o-mini vs Laguna XS 2.1

Public benchmark boards where GPT-4o-mini or Laguna XS 2.1 has a published result
BoardGPT-4o-miniLaguna XS 2.1Leads
ARC-AGI-2ARC Prize Foundation0.0%—Only one result
Artificial Analysis Intelligence IndexArtificial Analysis6.7intelligence-index—Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

GPT-4o-mini vs Laguna XS 2.1: common questions

Is GPT-4o-mini better than Laguna XS 2.1?

Laguna XS 2.1 ranks higher on the ModelCap Index as of 17 August 2026: #213 against #216. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is GPT-4o-mini cheaper than Laguna XS 2.1?

Laguna XS 2.1 is cheaper on output tokens: $0.12/1M against $0.60/1M. Input tokens are $0.15/1M for GPT-4o-mini and $0.06/1M for Laguna XS 2.1. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, GPT-4o-mini or Laguna XS 2.1?

Laguna XS 2.1 has the larger context window: 262K tokens against 128K.

Which is better for coding, GPT-4o-mini or Laguna XS 2.1?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are GPT-4o-mini and Laguna XS 2.1 open-weight models?

GPT-4o-mini: API only. Laguna XS 2.1: Restricted license. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run GPT-4o-mini and Laguna XS 2.1?

ModelCap currently lists 2 API providers for GPT-4o-mini and 1 for Laguna XS 2.1, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-4o-mini vs Laguna XS 2.1 comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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