Hy3 vs Laguna S 2.1
Hy3 and Laguna S 2.1 are closely matched at 43.2 and 40.9 on the LLM Stats Score. Laguna S 2.1 is 2.0x cheaper per token.
Tencent · Poolside · Updated for 2026
Which is better?
Hy3 and Laguna S 2.1 are closely matched on the overall LLM Stats Score at 43.2 and 40.9.
In the 4 individual benchmarks reported for both models, Laguna S 2.1 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Laguna S 2.1 is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Laguna S 2.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Hy3
- you want predictable pricing at $0.14/M input and $0.58/M output
Choose Laguna S 2.1
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 2.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- 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 Hy3 · 6 for Laguna S 2.1
Hy3 outperforms in 1 benchmarks (Terminal-Bench 2.1), while Laguna S 2.1 is better at 3 benchmarks (SWE-bench Multilingual, SWE-Bench Pro, Toolathlon).
Laguna S 2.1 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Hy3 ($0.14/1M tokens) is 1.4x more expensive than Laguna S 2.1 ($0.10/1M tokens).
For output processing, Hy3 ($0.58/1M tokens) is 2.9x more expensive than Laguna S 2.1 ($0.20/1M tokens).
In conclusion, Hy3 is more expensive than Laguna S 2.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Hy3 has 177.0B more parameters than Laguna S 2.1, making it 150.0% larger.
Context Window
Maximum input and output token capacity
Laguna S 2.1 accepts 1,048,576 input tokens compared to Hy3's 262,144 tokens. Only Hy3 specifies output context (262,144 tokens).
License
Usage and distribution terms
Hy3 is licensed under Apache 2.0, 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.
Apache 2.0
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Hy3 was released on 2026-07-06, while Laguna S 2.1 was released on 2026-07-21.
Laguna S 2.1 is 1 month newer than Hy3.
Jul 6, 2026
2 months ago
Jul 21, 2026
1 months ago
2w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Hy3 is available from DeepInfra. Laguna S 2.1 is available from Poolside.
Hy3
Laguna S 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy3 and Laguna S 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy3 vs Laguna S 2.1.