Model comparison

DeepSeek V4 Pro vs Laguna XS.2

Data verified July 27, 2026

Head-to-head evidence from 5 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

DeepSeek V4 Pro

DeepSeek

59.98/100

No comparison

Laguna XS.2

Poolside

N/A

2 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Pro #49 (Supported); Laguna XS.2 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro and Laguna XS.2 share 5 comparable benchmark results. 2 of 8 categories are comparable. 18 results are unique to DeepSeek V4 Pro; 0 to Laguna XS.2.

Updated July 27, 2026

Shared results: 5
DeepSeek V4 Pro only: 18
Laguna XS.2 only: 0
Comparable categories: 2 / 8

Treat this as a split decision. DeepSeek V4 Pro makes more sense if agentic is the priority or you need the larger 1M context window; Laguna XS.2 is the better fit if you want the cheaper token bill or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

DeepSeek V4 Pro and Laguna XS.2 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 V4 Pro is also the more expensive model on tokens at $0.43 input / $0.87 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Laguna XS.2. That is roughly Infinityx on output cost alone. Laguna XS.2 is the reasoning model in the pair, while DeepSeek V4 Pro 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. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 256K for Laguna XS.2.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for DeepSeek V4 Pro and Laguna XS.2
Category	DeepSeek V4 Pro	Δ	Laguna XS.2
Agentic	DeepSeek V4 Pro59.1	Margin← 23.4	Laguna XS.235.7
Coding	DeepSeek V4 Pro65.3	Margin← 4.5	Laguna XS.260.8
Knowledge	DeepSeek V4 Pro41.3	MarginNo overlap	Laguna XS.2Not measured
Math	DeepSeek V4 Pro31.7	MarginNo overlap	Laguna XS.2Not measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

A · DeepSeek V4 ProB · Laguna XS.2

Terminal-Bench 2.0
Agentic
Source ↗
A 59.1%B 35.7%
Winner: DeepSeek V4 ProΔ 23.4
Terminal-Bench 2.0: DeepSeek V4 Pro scored 59.1%; Laguna XS.2 scored 35.7%. DeepSeek V4 Pro wins this benchmark.
SWE-bench Pro
Coding
Source ↗
A 52.1%B 46.3%
Winner: DeepSeek V4 ProΔ 5.8
SWE-bench Pro: DeepSeek V4 Pro scored 52.1%; Laguna XS.2 scored 46.3%. DeepSeek V4 Pro wins this benchmark.
SWE-bench Verified
Coding
Source ↗
A 73.6%B 69.9%
Winner: DeepSeek V4 ProΔ 3.7
SWE-bench Verified: DeepSeek V4 Pro scored 73.6%; Laguna XS.2 scored 69.9%. DeepSeek V4 Pro wins this benchmark.

Operational comparison

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

Metric	DeepSeek V4 Pro	Laguna XS.2	Comparison
Input / output priceUSD per 1M tokens	DeepSeek V4 Pro$0.435 input / $0.87 output	Laguna XS.2$0 input / $0 output	Laguna XS.2 has the lower combined listed price.
Generation speedtokens per second	DeepSeek V4 ProNot available	Laguna XS.2Not available	A complete speed comparison is not available.
First-answer latencyseconds to first token	DeepSeek V4 ProNot available	Laguna XS.2Not available	A complete latency comparison is not available.
Context windowmaximum listed tokens	DeepSeek V4 Pro1M	Laguna XS.2256K	DeepSeek V4 Pro lists the larger context window.

Benchmark Deep Dive

AgenticDeepSeek V4 Pro wins

6 benchmarks

Benchmark	DeepSeek V4 Pro	Laguna XS.2	Result
Terminal-Bench 2.0Source	59.1%	35.7%	DeepSeek V4 Pro leads
MCP AtlasSource	69.4%	—	Not comparable
ToolathlonSource	46.3%	—	Not comparable
Claw-EvalSource	59.8%	—	Not comparable
Gert LabsSource	50.28%	—	Not comparable
ResearchClawBenchSource	17.1%	—	Not comparable

CodingDeepSeek V4 Pro wins

4 benchmarks

Benchmark	DeepSeek V4 Pro	Laguna XS.2	Result
SWE-bench VerifiedSource	73.6%	69.9%	DeepSeek V4 Pro leads
SWE-bench ProSource	52.1%	46.3%	DeepSeek V4 Pro leads
SWE MultilingualSource	69.8%	57.7%	DeepSeek V4 Pro leads
Terminal-Bench 2.0Source	59.1%	35.7%	DeepSeek V4 Pro leads

Reasoning

2 benchmarks

Benchmark	DeepSeek V4 Pro	Laguna XS.2	Result
MRCR 1MSource	44.7%	—	Not comparable
CorpusQA 1MSource	35.6%	—	Not comparable

Knowledge

6 benchmarks

Benchmark	DeepSeek V4 Pro	Laguna XS.2	Result
MMLU-ProSource	82.9%	—	Not comparable
SimpleQASource	45%	—	Not comparable
Chinese-SimpleQASource	75.8%	—	Not comparable
GPQASource	72.9%	—	Not comparable
GPQA-DSource	72.9%	—	Not comparable
HLESource	7.7%	—	Not comparable

Math

4 benchmarks

Benchmark	DeepSeek V4 Pro	Laguna XS.2	Result
HMMT Feb 2026Source	31.7%	—	Not comparable
IMOAnswerBenchSource	35.3%	—	Not comparable
ApexSource	0.4%	—	Not comparable
Apex ShortlistSource	9.2%	—	Not comparable

Multimodal

1 benchmarks

Benchmark	DeepSeek V4 Pro	Laguna XS.2	Result
Design Arena WebsiteSource	1260	—	Not comparable

Frequently Asked Questions (3)

Which is better, DeepSeek V4 Pro or Laguna XS.2?

DeepSeek V4 Pro and Laguna XS.2 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 V4 Pro or Laguna XS.2?

DeepSeek V4 Pro has the edge for coding in this comparison, averaging 65.3 versus 60.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, DeepSeek V4 Pro or Laguna XS.2?

DeepSeek V4 Pro has the edge for agentic tasks in this comparison, averaging 59.1 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: July 27, 2026

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