DeepSeek-V4-Pro-0813 vs Laguna S 2.1: Specs & Benchmark Comparison

DeepSeek-V4-Pro-0813 is developed by DeepSeek, while Laguna S 2.1 comes from Poolside. Laguna S 2.1 was released in July 2026, and DeepSeek-V4-Pro-0813 followed a month later in August 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 118 billion for Laguna S 2.1.

The two models share 2 published benchmarks. DeepSeek-V4-Pro-0813 leads on 2 of them. The widest gaps are on Toolathlon, where DeepSeek-V4-Pro-0813 scores 74.0% against 49.7%; Terminal-Bench 2.1, where DeepSeek-V4-Pro-0813 scores 88.0% against 70.2%. Averaged across everything we track, DeepSeek-V4-Pro-0813 sits at 79.0% and Laguna S 2.1 at 57.4%.

Laguna S 2.1 is the cheaper API at $0.10 per million input tokens and $0.20 per million output tokens, roughly 13 times cheaper than DeepSeek-V4-Pro-0813 at $1.32 and $3.96. Both accept a context window of about 1M tokens. On tooling, only DeepSeek-V4-Pro-0813 supports function calling and only DeepSeek-V4-Pro-0813 offers structured output.

CharacteristicDeepSeek-V4-Pro-0813Laguna S 2.1
CompanyDeepSeekPoolside
Release DateAugust 13, 2026July 21, 2026
Parameters1.6T118B
MultimodalNoNo
Context (input)1.0M1.0M
Context (output)393K
Input Price / 1M$1.32$0.10
Output Price / 1M$3.96$0.20
Average Score79.0%57.4%
Benchmarks
Toolathlon74.0%49.7%
Terminal-Bench 2.188.0%70.2%

Visual Benchmark Comparison

DeepSeek-V4-Pro-0813
Laguna S 2.1
Toolathlon0.7 vs 0.5
0.7
0.5
Terminal-Bench 2.10.9 vs 0.7
0.9
0.7

Verdict

Laguna S 2.1 leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.8, Laguna S 2.1 — 0.6.

API Cost

Laguna S 2.1 is 17.6x cheaper: input $0.10/1M vs $1.32/1M tokens.

Context Window

Laguna S 2.1 supports a larger context: 1M vs 1M tokens.

Recency

DeepSeek-V4-Pro-0813 is newer: released 8/13/2026 vs 7/21/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Pro-0813 or Laguna S 2.1?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Pro-0813 or Laguna S 2.1?
Laguna S 2.1 is cheaper for input: $0.10 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4-Pro-0813 or Laguna S 2.1?
Laguna S 2.1 supports a larger context: 1,048,576 tokens vs 1,000,000.

The DeepSeek-V4-Pro-0813 and Laguna S 2.1 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Pro-0813 or Laguna S 2.1 page. See also the complete list of AI model comparisons.