Kimi K2.6 vs Laguna S 2.1: Specs & Benchmark Comparison
| Characteristic | Kimi K2.6 | Laguna S 2.1 |
|---|---|---|
| Company | Moonshot AI | Poolside |
| Release Date | April 20, 2026 | July 21, 2026 |
| Parameters | 1.0T | 118B |
| Multimodal | Yes | No |
| Context (input) | 262K | 1.0M |
| Context (output) | 131K | — |
| Input Price / 1M | $1.20 | $0.10 |
| Output Price / 1M | $4.50 | $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: Kimi K2.6 — 0.9, Laguna S 2.1 — 0.6.
API Cost
Laguna S 2.1 is 19.0x cheaper: input $0.10/1M vs $1.20/1M tokens.
Context Window
Laguna S 2.1 supports a larger context: 1M vs 262K tokens.
Recency
Laguna S 2.1 is newer: released 7/21/2026 vs 4/20/2026.
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Frequently Asked Questions
Which is better for coding — Kimi K2.6 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 — Kimi K2.6 or Laguna S 2.1?
Laguna S 2.1 is cheaper for input: $0.10 per 1M tokens vs $1.20.
Which has a larger context window — Kimi K2.6 or Laguna S 2.1?
Laguna S 2.1 supports a larger context: 1,048,576 tokens vs 262,144.
The Kimi K2.6 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 Kimi K2.6 or Laguna S 2.1 page. See also the complete list of AI model comparisons.