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

Poolside: Laguna XS 2.1 vs Llama 3.1 70B benchmark

Name: Poolside: Laguna XS 2.1 vs Llama 3.1 70B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

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.

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Executive Verdict Summary

Poolside: Laguna XS 2.1 holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench

Llama 3.1 70BTop code solve rate

ReasoningGPQA / Live

Llama 3.1 70BTop logical accuracy

Best Value$/1M Tok

Poolside: Laguna XS 2.1Lowest API billing cost

Speed / TokTok/Sec

Llama 3.1 70BFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Poolside: Laguna XS 2.1 (3)Llama 3.1 70B (0)

Poolside: Laguna XS 2.1

3 of 3 Wins

✓Input price✓Output price✓Context window

Llama 3.1 70B

0 of 3 Wins

Competitive baseline across remaining benchmarks

poolside

Leads 3 of 3

Poolside: Laguna XS 2.1

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

In: $0.06 · Out: $0.12/1M

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderPoolside: Laguna XS 2.1 Wins

Poolside: Laguna XS 2.1

$0.12 / 1M output

Capability Percentiles

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

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Overall Matchup Breakdown

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

Poolside: Laguna XS 2.1 (3)vsLlama 3.1 70B (6)

Poolside: Laguna XS 2.1: 3W (33%)Llama 3.1 70B: 6W (67%)

← Poolside: Laguna XS 2.1Llama 3.1 70B →

🏆Llama 3.1 70B Leads(4/5)

Intelligence & Reasoning

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

Benchmark

Poolside: Laguna XS 2.1vsLlama 3.1 70B

Preference Elo

—vs1,240

Coding Elo

—vs—

SWE-bench

—vs40.2%

LiveBench

—vs46.8%

GPQA Diamond

—vs48%

Poolside: Laguna XS 2.1: 0WLlama 3.1 70B: 4W

🏆Llama 3.1 70B Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Poolside: Laguna XS 2.1vsLlama 3.1 70B

Output speed

—vs125 tok/s

Time to first token

—vs170 ms

Poolside: Laguna XS 2.1: 0WLlama 3.1 70B: 2W

🏆Poolside: Laguna XS 2.1 Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Poolside: Laguna XS 2.1vsLlama 3.1 70B

Output price

$0.12/1Mvs$0.4/1M+$0.28/1M

Input price

$0.06/1Mvs$0.4/1M+$0.34/1M

Context window

262kvs131k+131k

Poolside: Laguna XS 2.1: 3WLlama 3.1 70B: 0W

Side-by-Side Benchmark Matrix

Poolside: Laguna XS 2.1Llama 3.1 70B

Preference Elo

Poolside: Laguna XS 2.1—

Llama 3.1 70B1,240

LiveBench

Poolside: Laguna XS 2.1—

Llama 3.1 70B46.8%

SWE-bench

Poolside: Laguna XS 2.1—

Llama 3.1 70B40.2%

GPQA Diamond

Poolside: Laguna XS 2.1—

Llama 3.1 70B48%

Time to first token

Poolside: Laguna XS 2.1—

Llama 3.1 70B170 ms

Output speed

Poolside: Laguna XS 2.1—

Llama 3.1 70B125 tok/s

Input pricePoolside: Laguna XS 2.1 +$0.34/1M

Poolside: Laguna XS 2.1$0.06/1M

Llama 3.1 70B$0.4/1M

Output pricePoolside: Laguna XS 2.1 +$0.28/1M

Poolside: Laguna XS 2.1$0.12/1M

Llama 3.1 70B$0.4/1M

Context windowPoolside: Laguna XS 2.1 +131k

Poolside: Laguna XS 2.1262k

Llama 3.1 70B131k

Benchmark	Poolside: Laguna XS 2.1	Llama 3.1 70B	Advantage Delta
Preference Elo	—	1,240 lmarena · Aug 17, 2026	—
LiveBench	—	46.8% livebench · Aug 17, 2026	—
SWE-bench	—	40.2% swebench · Aug 17, 2026	—
GPQA Diamond	—	48% seed-bootstrap · Aug 1, 2026	—
Time to first token	—	170 ms seed-bootstrap · Aug 1, 2026	—
Output speed	—	125 tok/s seed-bootstrap · Aug 1, 2026	—
Input price	$0.06/1M openrouter · Aug 17, 2026	$0.4/1M openrouter · Aug 17, 2026	+$0.34/1M
Output price	$0.12/1M openrouter · Aug 17, 2026	$0.4/1M openrouter · Aug 17, 2026	+$0.28/1M
Context window	262k openrouter · Aug 17, 2026	131k openrouter · Aug 17, 2026	+131k

Workload Cost & Savings Calculator

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

Save 81% 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

Llama 3.1 70B$20.00 / mo

In: $14Out: $6

Estimated Cost Delta

Poolside: Laguna XS 2.1 is estimated to save $16.10/month ($193/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 / visionLlama 3.1 70B

Llama 3.1 70B is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Poolside: Laguna XS 2.1	Lower output list price ($0.12/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Poolside: Laguna XS 2.1	Larger window (262k).
Screenshots / vision	Llama 3.1 70B	Llama 3.1 70B is the side marked multimodal in the catalog.

Cast Your Matchup Vote

0 total votes

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

poolside

Poolside: Laguna XS 2.1

Elo n/a

SWE-bench—

Speed (tok/s)262k

Input / 1M Tokens$0.06/1M

Output / 1M Tokens$0.12/1M

Llama 3.1 70B

Elo 1,240

SWE-bench40.2%

Speed (tok/s)125 tok/s

Input / 1M Tokens$0.4/1M

Output / 1M Tokens$0.4/1M

Frequently Asked Questions

Which is better overall, Poolside: Laguna XS 2.1 or Llama 3.1 70B?: 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 Llama 3.1 70B?: 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 $0.4/1M. Input prices and retry rates still move the real bill.
Which is faster, Poolside: Laguna XS 2.1 or Llama 3.1 70B?: We do not have TTFT for both models.
Which has the larger context window?: Poolside: Laguna XS 2.1 accepts 262k tokens versus 131k.
Can I self-host either model?: Llama 3.1 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 Llama 3.1 70B 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 Llama 3.1 70B matchups →

Llama 3.1 70B vs Llama 3.1 405B (previous llama)Llama 3.1 70B vs Llama 3.3 70B (next llama)Llama 4 Maverick vs Llama 3.1 70B Llama 4 Scout vs Llama 3.1 70B Claude Opus 4.5 vs Llama 3.1 70B Claude Opus 4.6 vs Llama 3.1 70B

Capability Percentiles

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

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

Poolside: Laguna XS 2.1Llama 3.1 70B

Preference Elo

Poolside: Laguna XS 2.1—

Llama 3.1 70B1,240

LiveBench

Poolside: Laguna XS 2.1—

Llama 3.1 70B46.8%

SWE-bench

Poolside: Laguna XS 2.1—

Llama 3.1 70B40.2%

GPQA Diamond

Poolside: Laguna XS 2.1—

Llama 3.1 70B48%

Time to first token

Poolside: Laguna XS 2.1—

Llama 3.1 70B170 ms

Output speed

Poolside: Laguna XS 2.1—

Llama 3.1 70B125 tok/s

Input pricePoolside: Laguna XS 2.1 +$0.34/1M

Poolside: Laguna XS 2.1$0.06/1M

Llama 3.1 70B$0.4/1M

Output pricePoolside: Laguna XS 2.1 +$0.28/1M

Poolside: Laguna XS 2.1$0.12/1M

Llama 3.1 70B$0.4/1M

Context windowPoolside: Laguna XS 2.1 +131k

Poolside: Laguna XS 2.1262k

Llama 3.1 70B131k

Benchmark

Poolside: Laguna XS 2.1

Llama 3.1 70B

Advantage Delta

Preference Elo

—

1,240

lmarena · Aug 17, 2026

—

LiveBench

—

46.8%

livebench · Aug 17, 2026

—

SWE-bench

—

40.2%

swebench · Aug 17, 2026

—

GPQA Diamond

—

48%

seed-bootstrap · Aug 1, 2026

—

Time to first token

—

170 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

—

125 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.06/1M

openrouter · Aug 17, 2026

$0.4/1M

openrouter · Aug 17, 2026

+$0.34/1M

Output price

$0.12/1M

openrouter · Aug 17, 2026

$0.4/1M

openrouter · Aug 17, 2026

+$0.28/1M

Context window

262k

openrouter · Aug 17, 2026

131k

openrouter · Aug 17, 2026

+131k

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 / visionLlama 3.1 70B

Llama 3.1 70B is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Poolside: Laguna XS 2.1	Lower output list price ($0.12/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Poolside: Laguna XS 2.1	Larger window (262k).
Screenshots / vision	Llama 3.1 70B	Llama 3.1 70B is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Poolside: Laguna XS 2.1 or Llama 3.1 70B?

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 Llama 3.1 70B?

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 $0.4/1M. Input prices and retry rates still move the real bill.

Which is faster, Poolside: Laguna XS 2.1 or Llama 3.1 70B?

We do not have TTFT for both models.

Which has the larger context window?

Poolside: Laguna XS 2.1 accepts 262k tokens versus 131k.

Can I self-host either model?

Llama 3.1 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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 Llama 3.1 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.