DeepSeek-V4-Flash-Max vs Laguna S 2.1: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-Max | Laguna S 2.1 |
|---|---|---|
| Company | DeepSeek | Poolside |
| Release Date | April 23, 2026 | July 21, 2026 |
| Parameters | 284B | 118B |
| Multimodal | No | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 393K | — |
| Input Price / 1M | $0.14 | $0.10 |
| Output Price / 1M | $0.28 | $0.20 |
| Average Score | 0.9 | 0.6 |
Verdict
Laguna S 2.1 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-Max — 0.9, 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
Laguna S 2.1 is newer: released 7/21/2026 vs 4/23/2026.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-Max 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-Max 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-Max 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-Max 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-Max or Laguna S 2.1 page. See also the complete list of AI model comparisons.