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Model comparison

DeepSeek V3 vs Laguna S 2.1

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
DeepSeek
44.97/100
No comparison
Poolside
N/A
0 category wins1 category wins

Public leaderboard positions: DeepSeek V3 #147 (Supported); Laguna S 2.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3 and Laguna S 2.1 share 0 comparable benchmark results. 1 of 8 categories are comparable. 22 results are unique to DeepSeek V3; 6 to Laguna S 2.1.

Updated July 21, 2026
Shared results
0
DeepSeek V3 only
22
Laguna S 2.1 only
6
Comparable categories
1 / 8

Treat this as a split decision. DeepSeek V3 makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; Laguna S 2.1 is the better fit if coding is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

DeepSeek V3 and Laguna S 2.1 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

DeepSeek V3 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1. That is roughly 5.5x on output cost alone. Laguna S 2.1 is the reasoning model in the pair, while DeepSeek V3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Laguna S 2.1 gives you the larger context window at 1M, compared with 128K for DeepSeek V3.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V3Laguna S 2.1Comparison
Input / output priceUSD per 1M tokensDeepSeek V3$0.27 input / $1.1 outputLaguna S 2.1$0.1 input / $0.2 outputLaguna S 2.1 has the lower combined listed price.
Generation speedtokens per secondDeepSeek V3Not availableLaguna S 2.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3Not availableLaguna S 2.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3128KLaguna S 2.11MLaguna S 2.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3Laguna S 2.1Result
AA Agentic IndexSource 1.6%Not comparable
τ²-bench resultsSource 22.8%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 217Not comparable
Terminal-Bench 2.0Source 70.2%Not comparable
Toolathlon-VerifiedSource 49.7%Not comparable
CodingLaguna S 2.1 wins
BenchmarkDeepSeek V3Laguna S 2.1Result
LiveCodeBenchSource 37.6%Not comparable
SWE-bench VerifiedSource 42%Not comparable
AA Coding IndexSource 23.0%Not comparable
AA-SciCodeSource 35.4%Not comparable
Terminal-Bench 2.0Source 70.2%Not comparable
SWE MultilingualSource 78.5%Not comparable
SWE-bench ProSource 59.4%Not comparable
deepSweSource 40.4%Not comparable
Reasoning
BenchmarkDeepSeek V3Laguna S 2.1Result
AA-LCRSource 29.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkDeepSeek V3Laguna S 2.1Result
GPQASource 59.1%Not comparable
MMLU-ProSource 75.9%Not comparable
Artificial Analysis Intelligence IndexSource 14.2%Not comparable
AA-GPQA DiamondSource 55.7%Not comparable
AA-HLESource 3.6%Not comparable
AA-Omniscience IndexSource -41.3%Not comparable
AA-Omniscience AccuracySource 25.4%Not comparable
AA-Omniscience Hallucination RateSource 89.4%Not comparable
Math
BenchmarkDeepSeek V3Laguna S 2.1Result
FrontierMath v2 (Tiers 1-3)Source 1.724%Not comparable
Multimodal
BenchmarkDeepSeek V3Laguna S 2.1Result
Design Arena WebsiteSource 1150Not comparable
Inst. Following
BenchmarkDeepSeek V3Laguna S 2.1Result
IFEvalSource 86.1%Not comparable
AA-IFBenchSource 34.8%Not comparable
Frequently Asked Questions (2)

Which is better, DeepSeek V3 or Laguna S 2.1?

DeepSeek V3 and Laguna S 2.1 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for coding, DeepSeek V3 or Laguna S 2.1?

Laguna S 2.1 has the edge for coding in this comparison, averaging 59.4 versus 38.9. DeepSeek V3 stays close enough that the answer can still flip depending on your workload.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

DeepSeek V3
API / mo$1,028
Self-host / mo$18,221
Break-even1.2B/day
Laguna S 2.1
API / mo$225
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

Related Comparisons

Last updated: July 21, 2026

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