DeepSeek-V4-Flash-0731 vs Laguna S 2.1: Specs & Benchmark Comparison

DeepSeek-V4-Flash-0731 is developed by DeepSeek, while Laguna S 2.1 comes from Poolside. Both were released in July 2026. DeepSeek-V4-Flash-0731 is the larger model at roughly 304 billion parameters, against 118 billion for Laguna S 2.1.

The two models share 2 published benchmarks. DeepSeek-V4-Flash-0731 leads on 2 of them. The widest gaps are on Toolathlon, where DeepSeek-V4-Flash-0731 scores 70.0% against 49.7%; Terminal-Bench 2.1, where DeepSeek-V4-Flash-0731 scores 83.0% against 70.2%. Averaged across everything we track, DeepSeek-V4-Flash-0731 sits at 57.5% 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, about 40% below DeepSeek-V4-Flash-0731 at $0.14 and $0.28. Both accept a context window of about 1M tokens. On tooling, only DeepSeek-V4-Flash-0731 supports function calling and only DeepSeek-V4-Flash-0731 offers structured output.

CharacteristicDeepSeek-V4-Flash-0731Laguna S 2.1
CompanyDeepSeekPoolside
Release DateJuly 31, 2026July 21, 2026
Parameters304B118B
MultimodalNoNo
Context (input)1.0M1.0M
Context (output)393K
Input Price / 1M$0.14$0.10
Output Price / 1M$0.28$0.20
Average Score57.5%57.4%
Benchmarks
Toolathlon70.0%49.7%
Terminal-Bench 2.183.0%70.2%

Visual Benchmark Comparison

DeepSeek-V4-Flash-0731
Laguna S 2.1
Toolathlon0.7 vs 0.5
0.7
0.5
Terminal-Bench 2.10.8 vs 0.7
0.8
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-Flash-0731 — 0.6, Laguna S 2.1 — 0.6.

API Cost

Laguna S 2.1 is 1.4x cheaper: input $0.10/1M vs $0.14/1M tokens.

Context Window

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

Recency

Both models were released around the same time: 7/31/2026 and 7/21/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Flash-0731 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-Flash-0731 or Laguna S 2.1?
Laguna S 2.1 is cheaper for input: $0.10 per 1M tokens vs $0.14.
Which has a larger context window — DeepSeek-V4-Flash-0731 or Laguna S 2.1?
Laguna S 2.1 supports a larger context: 1,048,576 tokens vs 1,000,000.

The DeepSeek-V4-Flash-0731 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-Flash-0731 or Laguna S 2.1 page. See also the complete list of AI model comparisons.