DeepSeek-V4-Pro-0813 vs Laguna XS 2.1
Comparing DeepSeek-V4-Pro-0813 and Laguna XS 2.1 across benchmarks, pricing, and capabilities.
DeepSeek · Poolside · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and Laguna XS 2.1 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Laguna XS 2.1 is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Laguna XS 2.1
- cost matters — it's about 4.3x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 and Laguna XS 2.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 4.3x more expensive than Laguna XS 2.1 ($0.10/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 4.3x more expensive than Laguna XS 2.1 ($0.20/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than Laguna XS 2.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1567.0B more parameters than Laguna XS 2.1, making it 4748.5% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Laguna XS 2.1's 262,144 tokens. Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Laguna XS 2.1 uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Laguna XS 2.1 was released on 2026-07-02.
DeepSeek-V4-Pro-0813 is 1 month newer than Laguna XS 2.1.
Aug 13, 2026
1 weeks ago
1mo newerJul 2, 2026
1 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Laguna XS 2.1 is available from Poolside.
DeepSeek-V4-Pro-0813
Laguna XS 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Laguna XS 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Laguna XS 2.1.