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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  2. Comparisons
  3. Poolside: Laguna XS 2.1 vs OpenAI o1-mini

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Poolside: Laguna XS 2.1 vs OpenAI o1-mini benchmark

In this head-to-head showdown, Poolside: Laguna XS 2.1 is more budget-friendly at $0.12/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Poolside: Laguna XS 2.1 and OpenAI o1-mini present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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poolside
Poolside: Laguna XS 2.1

Auto-discovered from OpenRouter (poolside/laguna-xs-2.1). Preview until a second source matches.

$0.12/1M out
OpenAI
OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445$4.4/1M out
Top Rival Showdowns for Poolside: Laguna XS 2.1
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Poolside: Laguna XS 2.1

$0.12 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageOpenAI o1-mini 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Poolside: Laguna XS 2.1 (3)vsOpenAI o1-mini (7)
Poolside: Laguna XS 2.1: 3W (30%)Overall: OpenAI o1-miniOpenAI o1-mini: 7W (70%)
← Poolside: Laguna XS 2.1OpenAI o1-mini →
OpenAI o1-mini (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo
—vs1,445
Coding Elo
—vs1,468
SWE-bench
—vs56.4%
LiveBench
—vs62%
GPQA Diamond
—vs76.8%
Poolside: Laguna XS 2.1: 0WOpenAI o1-mini: 5W
OpenAI o1-mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs85 tok/s
Time to first token
—vs280 ms
Poolside: Laguna XS 2.1: 0WOpenAI o1-mini: 2W
Poolside: Laguna XS 2.1 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.12/1Mvs$4.4/1M
Input price
$0.06/1Mvs$1.1/1M
Context window
262kvs128k
Poolside: Laguna XS 2.1: 3WOpenAI o1-mini: 0W

Side-by-Side Benchmark Matrix

Preference Elo
Poolside: Laguna XS 2.1—
OpenAI o1-mini1,445
lmarena · Aug 17, 2026
Coding Elo
Poolside: Laguna XS 2.1—
OpenAI o1-mini1,468
lmarena · Aug 17, 2026
LiveBench
Poolside: Laguna XS 2.1—
OpenAI o1-mini62%
livebench · Aug 17, 2026
SWE-bench
Poolside: Laguna XS 2.1—
OpenAI o1-mini56.4%
swebench · Aug 17, 2026
GPQA Diamond
Poolside: Laguna XS 2.1—
OpenAI o1-mini76.8%
seed-bootstrap · Aug 1, 2026
Time to first token
Poolside: Laguna XS 2.1—
OpenAI o1-mini280 ms
seed-bootstrap · Aug 1, 2026
Output speed
Poolside: Laguna XS 2.1—
OpenAI o1-mini85 tok/s
seed-bootstrap · Aug 1, 2026
Input pricePoolside: Laguna XS 2.1 (+$1.04/1M)
Poolside: Laguna XS 2.1$0.06/1M
openrouter · Aug 17, 2026
OpenAI o1-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Output pricePoolside: Laguna XS 2.1 (+$4.28/1M)
Poolside: Laguna XS 2.1$0.12/1M
openrouter · Aug 17, 2026
OpenAI o1-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Context windowPoolside: Laguna XS 2.1 (+134k)
Poolside: Laguna XS 2.1262k
openrouter · Aug 17, 2026
OpenAI o1-mini128k
seed-bootstrap · Aug 1, 2026
BenchmarkPoolside: Laguna XS 2.1OpenAI o1-miniAdvantage Delta
Preference Elo—
1,445
lmarena · Aug 17, 2026
—
Coding Elo—
1,468
lmarena · Aug 17, 2026
—
LiveBench—
62%
livebench · Aug 17, 2026
—
SWE-bench—
56.4%
swebench · Aug 17, 2026
—
GPQA Diamond—
76.8%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
280 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
85 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.06/1M
openrouter · Aug 17, 2026
$1.1/1M
seed-bootstrap · Aug 1, 2026
Poolside: Laguna XS 2.1 (+$1.04/1M)
Output price
$0.12/1M
openrouter · Aug 17, 2026
$4.4/1M
seed-bootstrap · Aug 1, 2026
Poolside: Laguna XS 2.1 (+$4.28/1M)
Context window
262k
openrouter · Aug 17, 2026
128k
seed-bootstrap · Aug 1, 2026
Poolside: Laguna XS 2.1 (+134k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 96% with Poolside: Laguna XS 2.1
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Poolside: Laguna XS 2.1$3.90 / mo
In: $2.1Out: $1.8
OpenAI o1-mini$104.50 / mo
In: $38.5Out: $66
Estimated Cost Delta

Poolside: Laguna XS 2.1 is estimated to save $100.60/month ($1,207/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Poolside: Laguna XS 2.1:Pick Poolside: Laguna XS 2.1 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatPoolside: Laguna XS 2.1

Lower output list price ($0.12/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGPoolside: Laguna XS 2.1

Larger window (262k).

Screenshots / visionOpenAI o1-mini

OpenAI o1-mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatPoolside: Laguna XS 2.1Lower output list price ($0.12/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGPoolside: Laguna XS 2.1Larger window (262k).
Screenshots / visionOpenAI o1-miniOpenAI o1-mini is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
poolside

Poolside: Laguna XS 2.1

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.12/1M
OpenAI

OpenAI o1-mini

Elo 1,445
LiveBench62%
SWE-bench56.4%
Speed85 tok/s
Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, Poolside: Laguna XS 2.1 or OpenAI o1-mini?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Poolside: Laguna XS 2.1 or OpenAI o1-mini?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Poolside: Laguna XS 2.1 output tokens are $0.12/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, Poolside: Laguna XS 2.1 or OpenAI o1-mini?
We do not have TTFT for both models.
Which has the larger context window?
Poolside: Laguna XS 2.1 accepts 262k tokens versus 128k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Poolside: Laguna XS 2.1 and OpenAI o1-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Poolside: Laguna XS 2.1 matchups →|All OpenAI o1-mini matchups →
OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI: o3 Mini (next gpt-mini)GPT-5 vs OpenAI o1-miniGPT-4.5 Orion vs OpenAI o1-miniGPT-5.6 Sol vs OpenAI o1-miniGPT-5.6 Terra vs OpenAI o1-mini