Kimi K3 vs Laguna S 2.1
Kimi K3 leads the LLM Stats Score 54.7 to 41.4. Laguna S 2.1 is 48.0x cheaper per token.
Moonshot AI · Poolside · Updated for 2026
Which is better?
Kimi K3 leads the overall LLM Stats Score 54.7 to 41.4, ranking #5 overall.
In the 3 individual benchmarks reported for both models, Kimi K3 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Laguna S 2.1 is roughly 48.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K3
- overall performance matters — it scores 54.7 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
Choose Laguna S 2.1
- cost matters — it's about 48.0x cheaper per token
- you want the most recent training data — it shipped Jul 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Kimi K3 · 6 for Laguna S 2.1
Kimi K3 outperforms in 3 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1, Toolathlon), while Laguna S 2.1 is better at 0 benchmarks.
Kimi K3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K3 ($3.00/1M tokens) is 30.0x more expensive than Laguna S 2.1 ($0.10/1M tokens).
For output processing, Kimi K3 ($15.00/1M tokens) is 75.0x more expensive than Laguna S 2.1 ($0.20/1M tokens).
In conclusion, Kimi K3 is more expensive than Laguna S 2.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2682.0B more parameters than Laguna S 2.1, making it 2272.9% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Only Kimi K3 specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Kimi K3 supports multimodal inputs, whereas Laguna S 2.1 does not.
Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K3
Laguna S 2.1
License
Usage and distribution terms
Kimi K3 is licensed under Kimi K3 License, while Laguna S 2.1 uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
Kimi K3 License
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Kimi K3 was released on 2026-07-16, while Laguna S 2.1 was released on 2026-07-21.
Laguna S 2.1 is 0 month newer than Kimi K3.
Jul 16, 2026
1 months ago
Jul 21, 2026
1 months ago
5d newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K3 is available from Fireworks, Moonshot AI, Novita, Together. Laguna S 2.1 is available from Poolside.
Kimi K3
Laguna S 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K3 and Laguna S 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K3 vs Laguna S 2.1.