Kimi K3 vs Laguna S 2.1: Specs & Benchmark Comparison
Kimi K3 is developed by Moonshot AI, while Laguna S 2.1 comes from Poolside. Both were released in July 2026. Kimi K3 is the larger model at roughly 2.8 trillion parameters, against 118 billion for Laguna S 2.1.
We have 3 benchmark results for Kimi K3 and 6 benchmark results for Laguna S 2.1, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
Laguna S 2.1 is the cheaper API at $0.10 per million input tokens and $0.20 per million output tokens, roughly 30 times cheaper than Kimi K3 at $3 and $15. Both accept a context window of about 1M tokens. Kimi K3 accepts text and images as input, while Laguna S 2.1 accepts text. On tooling, only Kimi K3 supports function calling and only Kimi K3 offers structured output.
| Characteristic | Kimi K3 | Laguna S 2.1 |
|---|---|---|
| Company | Moonshot AI | Poolside |
| Release Date | July 16, 2026 | July 21, 2026 |
| Parameters | 2.8T | 118B |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 1.0M | — |
| Input Price / 1M | $3.00 | $0.10 |
| Output Price / 1M | $15.00 | $0.20 |
| Average Score | 95.7% | 57.4% |
Verdict
Laguna S 2.1 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: Kimi K3 — 1.0, Laguna S 2.1 — 0.6.
Laguna S 2.1 is 60.0x cheaper: input $0.10/1M vs $3.00/1M tokens.
Laguna S 2.1 supports a larger context: 1M vs 1M tokens.
Both models were released around the same time: 7/16/2026 and 7/21/2026.
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Frequently Asked Questions
Which is better for coding — Kimi K3 or Laguna S 2.1?
Which model is cheaper — Kimi K3 or Laguna S 2.1?
Which has a larger context window — Kimi K3 or Laguna S 2.1?
The Kimi K3 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 K3 or Laguna S 2.1 page. See also the complete list of AI model comparisons.