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Precision Benchmarks

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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 S 2.1 (free) vs Yi-Large

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

Poolside: Laguna S 2.1 (free) vs Yi-Large benchmark

In this head-to-head showdown, Poolside: Laguna S 2.1 (free) is more budget-friendly at $0/1M 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 S 2.1 (free) and Yi-Large present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

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

Coding / SWESWE-bench
Yi-LargeTop code solve rate
ReasoningGPQA / Live
Yi-LargeTop logical accuracy
Best Value$/1M Tok
Yi-LargeLowest API billing cost
Speed / TokTok/Sec
Yi-LargeFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Poolside: Laguna S 2.1 (free) (3)Yi-Large (0)
Poolside: Laguna S 2.1 (free)
3 of 3 Wins
✓Input price✓Output price✓Context window
Yi-Large
0 of 3 Wins
Competitive baseline across remaining benchmarks
poolside
Leads 3 of 3
Poolside: Laguna S 2.1 (free)

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

In: $0 · Out: $0/1M
01.AI
Yi-Large

01.AI full-scale dense model for complex instruction following.

Elo 1,430In: $0.3 · Out: $0.3/1M
Top Rival Showdowns for Poolside: Laguna S 2.1 (free)
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 LeaderPoolside: Laguna S 2.1 (free) Wins

Poolside: Laguna S 2.1 (free)

$0 / 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 S 2.1 (free) (3)vsYi-Large (7)
Poolside: Laguna S 2.1 (free): 3W (30%)Overall: Yi-LargeYi-Large: 7W (70%)
← Poolside: Laguna S 2.1 (free)Yi-Large →
🏆Yi-Large Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Poolside: Laguna S 2.1 (free)vsYi-Large
Preference Elo
—vs1,430
Coding Elo
—vs1,410
SWE-bench
—vs53.8%
LiveBench
—vs60.5%
GPQA Diamond
—vs72.4%
Poolside: Laguna S 2.1 (free): 0WYi-Large: 5W
🏆Yi-Large Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Poolside: Laguna S 2.1 (free)vsYi-Large
Output speed
—vs90 tok/s
Time to first token
—vs220 ms
Poolside: Laguna S 2.1 (free): 0WYi-Large: 2W
🏆Poolside: Laguna S 2.1 (free) Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Poolside: Laguna S 2.1 (free)vsYi-Large
Output price
$0/1Mvs$0.3/1M+$0.3/1M
Input price
$0/1Mvs$0.3/1M+$0.3/1M
Context window
262kvs33k+229k
Poolside: Laguna S 2.1 (free): 3WYi-Large: 0W

Side-by-Side Benchmark Matrix

Poolside: Laguna S 2.1 (free)Yi-Large
Preference Elo
Poolside: Laguna S 2.1 (free)—
Yi-Large1,430
Coding Elo
Poolside: Laguna S 2.1 (free)—
Yi-Large1,410
LiveBench
Poolside: Laguna S 2.1 (free)—
Yi-Large60.5%
SWE-bench
Poolside: Laguna S 2.1 (free)—
Yi-Large53.8%
GPQA Diamond
Poolside: Laguna S 2.1 (free)—
Yi-Large72.4%
Time to first token
Poolside: Laguna S 2.1 (free)—
Yi-Large220 ms
Output speed
Poolside: Laguna S 2.1 (free)—
Yi-Large90 tok/s
Input pricePoolside: Laguna S 2.1 (free) +$0.3/1M
Poolside: Laguna S 2.1 (free)$0/1M
Yi-Large$0.3/1M
Output pricePoolside: Laguna S 2.1 (free) +$0.3/1M
Poolside: Laguna S 2.1 (free)$0/1M
Yi-Large$0.3/1M
Context windowPoolside: Laguna S 2.1 (free) +229k
Poolside: Laguna S 2.1 (free)262k
Yi-Large33k
BenchmarkPoolside: Laguna S 2.1 (free)Yi-LargeAdvantage Delta
Preference Elo—
1,430
lmarena · Aug 17, 2026
—
Coding Elo—
1,410
lmarena · Aug 17, 2026
—
LiveBench—
60.5%
livebench · Aug 17, 2026
—
SWE-bench—
53.8%
swebench · Aug 17, 2026
—
GPQA Diamond—
72.4%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
220 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
90 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$0.3/1M
Output price
$0/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$0.3/1M
Context window
262k
openrouter · Aug 17, 2026
33k
seed-bootstrap · Aug 1, 2026
+229k

Key Selection Recommendations

  • 1
    Poolside: Laguna S 2.1 (free):Pick Poolside: Laguna S 2.1 (free) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatPoolside: Laguna S 2.1 (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGPoolside: Laguna S 2.1 (free)

Larger window (262k).

Screenshots / visionYi-Large

Yi-Large 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 S 2.1 (free)Lower output list price ($0/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGPoolside: Laguna S 2.1 (free)Larger window (262k).
Screenshots / visionYi-LargeYi-Large is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
poolside

Poolside: Laguna S 2.1 (free)

Elo n/a
SWE-bench—
Speed (tok/s)262k
Input / 1M Tokens$0/1M
Output / 1M Tokens$0/1M
01.AI

Yi-Large

Elo 1,430
SWE-bench53.8%
Speed (tok/s)90 tok/s
Input / 1M Tokens$0.3/1M
Output / 1M Tokens$0.3/1M

Frequently Asked Questions

Which is better overall, Poolside: Laguna S 2.1 (free) or Yi-Large?
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 S 2.1 (free) or Yi-Large?
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 S 2.1 (free) output tokens are $0/1M versus $0.3/1M. Input prices and retry rates still move the real bill.
Which is faster, Poolside: Laguna S 2.1 (free) or Yi-Large?
We do not have TTFT for both models.
Which has the larger context window?
Poolside: Laguna S 2.1 (free) accepts 262k tokens versus 33k.
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 S 2.1 (free) and Yi-Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Poolside: Laguna S 2.1 (free) matchups →|All Yi-Large matchups →
Yi-Large vs Yi-Lightning (next other)Claude Opus 4.5 vs Yi-LargeClaude Opus 4.6 vs Yi-LargeClaude Sonnet 4.5 vs Yi-LargeGPT-5 vs Yi-LargeGemini 3 Pro vs Yi-Large