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

Claude Opus 4 vs Poolside: Laguna S 2.1 (free) benchmark

Name: Claude Opus 4 vs Poolside: Laguna S 2.1 (free) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

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.

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Executive Verdict Summary

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

Coding / SWESWE-bench

Claude Opus 4Top code solve rate

ReasoningGPQA / Live

Claude Opus 4Top logical accuracy

Best Value$/1M Tok

Claude Opus 4Lowest API billing cost

Speed / TokTok/Sec

Claude Opus 4Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Claude Opus 4 (0)Poolside: Laguna S 2.1 (free) (3)

Claude Opus 4

0 of 3 Wins

Competitive baseline across remaining benchmarks

Poolside: Laguna S 2.1 (free)

3 of 3 Wins

✓Input price✓Output price✓Context window

Anthropic

Claude Opus 4

First Claude 4 Opus generation. Baseline for opus 4 vs opus 5.

Elo 1,490In: $15 · Out: $75/1M

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

Top Rival Showdowns for Claude Opus 4

All Matchups

Compare vs:vs GPT-5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro vs Qwen 3 Max

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.

Claude Opus 4 (7)vsPoolside: Laguna S 2.1 (free) (3)

Claude Opus 4: 7W (70%)Poolside: Laguna S 2.1 (free): 3W (30%)

← Claude Opus 4Poolside: Laguna S 2.1 (free) →

🏆Claude Opus 4 Leads(5/5)

Intelligence & Reasoning

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

Benchmark

Claude Opus 4vsPoolside: Laguna S 2.1 (free)

Preference Elo

1,490vs—

Coding Elo

1,502vs—

SWE-bench

72.5%vs—

LiveBench

66.8%vs—

GPQA Diamond

80.4%vs—

Claude Opus 4: 5WPoolside: Laguna S 2.1 (free): 0W

🏆Claude Opus 4 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Claude Opus 4vsPoolside: Laguna S 2.1 (free)

Output speed

58 tok/svs—

Time to first token

390 msvs—

Claude Opus 4: 2WPoolside: Laguna S 2.1 (free): 0W

🏆Poolside: Laguna S 2.1 (free) Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Claude Opus 4vsPoolside: Laguna S 2.1 (free)

Output price

$75/1Mvs$0/1M+$75/1M

Input price

$15/1Mvs$0/1M+$15/1M

Context window

200kvs262k+62k

Claude Opus 4: 0WPoolside: Laguna S 2.1 (free): 3W

Side-by-Side Benchmark Matrix

Claude Opus 4Poolside: Laguna S 2.1 (free)

Preference Elo

Claude Opus 41,490

Poolside: Laguna S 2.1 (free)—

Coding Elo

Claude Opus 41,502

Poolside: Laguna S 2.1 (free)—

LiveBench

Claude Opus 466.8%

Poolside: Laguna S 2.1 (free)—

SWE-bench

Claude Opus 472.5%

Poolside: Laguna S 2.1 (free)—

GPQA Diamond

Claude Opus 480.4%

Poolside: Laguna S 2.1 (free)—

Time to first token

Claude Opus 4390 ms

Poolside: Laguna S 2.1 (free)—

Output speed

Claude Opus 458 tok/s

Poolside: Laguna S 2.1 (free)—

Input pricePoolside: Laguna S 2.1 (free) +$15/1M

Claude Opus 4$15/1M

Poolside: Laguna S 2.1 (free)$0/1M

Output pricePoolside: Laguna S 2.1 (free) +$75/1M

Claude Opus 4$75/1M

Poolside: Laguna S 2.1 (free)$0/1M

Context windowPoolside: Laguna S 2.1 (free) +62k

Claude Opus 4200k

Poolside: Laguna S 2.1 (free)262k

Benchmark	Claude Opus 4	Poolside: Laguna S 2.1 (free)	Advantage Delta
Preference Elo	1,490 lmarena · Aug 17, 2026	—	—
Coding Elo	1,502 lmarena · Aug 17, 2026	—	—
LiveBench	66.8% livebench · Aug 17, 2026	—	—
SWE-bench	72.5% swebench · Aug 17, 2026	—	—
GPQA Diamond	80.4% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	390 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	58 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$15/1M openrouter · Aug 17, 2026	$0/1M openrouter · Aug 17, 2026	+$15/1M
Output price	$75/1M openrouter · Aug 17, 2026	$0/1M openrouter · Aug 17, 2026	+$75/1M
Context window	200k openrouter · Aug 17, 2026	262k openrouter · Aug 17, 2026	+62k

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 / visionClaude Opus 4

Claude Opus 4 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 S 2.1 (free)	Lower output list price ($0/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Poolside: Laguna S 2.1 (free)	Larger window (262k).
Screenshots / vision	Claude Opus 4	Claude Opus 4 is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Anthropic

Claude Opus 4

Elo 1,490

SWE-bench72.5%

Speed (tok/s)58 tok/s

Input / 1M Tokens$15/1M

Output / 1M Tokens$75/1M

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

Frequently Asked Questions

Which is better overall, Claude Opus 4 or Poolside: Laguna S 2.1 (free)?: 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, Claude Opus 4 or Poolside: Laguna S 2.1 (free)?: 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 $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4 or Poolside: Laguna S 2.1 (free)?: We do not have TTFT for both models.
Which has the larger context window?: Poolside: Laguna S 2.1 (free) accepts 262k tokens versus 200k.
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. Claude Opus 4 and Poolside: Laguna S 2.1 (free) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4 matchups →|All Poolside: Laguna S 2.1 (free) matchups →

Claude Opus 4 vs Claude 3 Opus (previous opus)Claude Opus 4 vs Claude Opus 4.5 (next opus)Claude Sonnet 4.5 vs Claude Opus 4 Claude Sonnet 5 vs Claude Opus 4 Claude Opus 4.6 vs Claude Opus 4 Claude Opus 4.8 vs Claude Opus 4

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

Claude Opus 4Poolside: Laguna S 2.1 (free)

Preference Elo

Claude Opus 41,490

Poolside: Laguna S 2.1 (free)—

Coding Elo

Claude Opus 41,502

Poolside: Laguna S 2.1 (free)—

LiveBench

Claude Opus 466.8%

Poolside: Laguna S 2.1 (free)—

SWE-bench

Claude Opus 472.5%

Poolside: Laguna S 2.1 (free)—

GPQA Diamond

Claude Opus 480.4%

Poolside: Laguna S 2.1 (free)—

Time to first token

Claude Opus 4390 ms

Poolside: Laguna S 2.1 (free)—

Output speed

Claude Opus 458 tok/s

Poolside: Laguna S 2.1 (free)—

Input pricePoolside: Laguna S 2.1 (free) +$15/1M

Claude Opus 4$15/1M

Poolside: Laguna S 2.1 (free)$0/1M

Output pricePoolside: Laguna S 2.1 (free) +$75/1M

Claude Opus 4$75/1M

Poolside: Laguna S 2.1 (free)$0/1M

Context windowPoolside: Laguna S 2.1 (free) +62k

Claude Opus 4200k

Poolside: Laguna S 2.1 (free)262k

Benchmark

Claude Opus 4

Poolside: Laguna S 2.1 (free)

Advantage Delta

Preference Elo

1,490

lmarena · Aug 17, 2026

—

Coding Elo

1,502

lmarena · Aug 17, 2026

—

LiveBench

66.8%

livebench · Aug 17, 2026

—

SWE-bench

72.5%

swebench · Aug 17, 2026

—

GPQA Diamond

80.4%

seed-bootstrap · Aug 1, 2026

—

Time to first token

390 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

58 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$15/1M

openrouter · Aug 17, 2026

$0/1M

openrouter · Aug 17, 2026

+$15/1M

Output price

$75/1M

openrouter · Aug 17, 2026

$0/1M

openrouter · Aug 17, 2026

+$75/1M

Context window

200k

openrouter · Aug 17, 2026

262k

openrouter · Aug 17, 2026

+62k

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 / visionClaude Opus 4

Claude Opus 4 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 S 2.1 (free)	Lower output list price ($0/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Poolside: Laguna S 2.1 (free)	Larger window (262k).
Screenshots / vision	Claude Opus 4	Claude Opus 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4 or Poolside: Laguna S 2.1 (free)?

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, Claude Opus 4 or Poolside: Laguna S 2.1 (free)?

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 $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4 or Poolside: Laguna S 2.1 (free)?

We do not have TTFT for both models.

Which has the larger context window?

Poolside: Laguna S 2.1 (free) accepts 262k tokens versus 200k.

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. Claude Opus 4 and Poolside: Laguna S 2.1 (free) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.