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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.

Core performance indexes
43.2
#41
40.9
#53
43.1
#42
40.4
#53
33.2
#35
31.0
#45
27.2
#44
24.6
#50
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$0.14 / M
$0.10 / M
Output price
$0.58 / M
$0.20 / M
Context window
262,144
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Hy3
Laguna S 2.1
21.4#50
17.4#73
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

31 reported for Hy3 · 6 for Laguna S 2.1

4 shared

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.

Thu Sep 17 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Laguna S 2.1 costs less

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

Lowest available price from all providers
Thu Sep 17 2026 • llm-stats.com
Tencent
Hy3
Input tokens$0.14
Output tokens$0.58
Best providerDeepinfra
Poolside
Laguna S 2.1
Input tokens$0.10
Output tokens$0.20
Best providerPoolside
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

177.0B diff

Hy3 has 177.0B more parameters than Laguna S 2.1, making it 150.0% larger.

Tencent
Hy3
295.0Bparameters
Poolside
Laguna S 2.1
118.0Bparameters
295.0B
Hy3
118.0B
Laguna S 2.1

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).

Tencent
Hy3
Input262,144 tokens
Output262,144 tokens
Poolside
Laguna S 2.1
Input1,048,576 tokens
Output- tokens
Thu Sep 17 2026 • llm-stats.com

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.

Hy3

Apache 2.0

Open weights

Laguna S 2.1

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.

Hy3

Jul 6, 2026

2 months ago

Laguna S 2.1

Jul 21, 2026

1 months ago

2w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Hy3 is available from DeepInfra. Laguna S 2.1 is available from Poolside.

Hy3

deepinfra logo
Deepinfra
Input Price:Input: $0.14/1MOutput Price:Output: $0.58/1M

Laguna S 2.1

poolside logo
Poolside
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Hy3 and Laguna S 2.1 side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
Laguna S 2.1
Open in Playground

FAQ

Common questions about Hy3 vs Laguna S 2.1.

Which is better, Hy3 or Laguna S 2.1?

Hy3 and Laguna S 2.1 are closely matched on the LLM Stats Score at 43.2 and 40.9. Hy3 is made by Tencent and Laguna S 2.1 is made by Poolside. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Hy3 compare to Laguna S 2.1 in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. Laguna S 2.1 scores SWE-bench Multilingual: 78.5%, Terminal-Bench 2.1: 70.2%, SWE-Bench Pro: 59.4%, Toolathlon: 49.7%, SWE Atlas - Codebase QnA: 46.2%.

Is Hy3 cheaper than Laguna S 2.1?

Laguna S 2.1 is 1.4x cheaper for input tokens. Hy3 costs $0.14/M input and $0.58/M output via deepinfra. Laguna S 2.1 costs $0.10/M input and $0.20/M output via poolside.

What are the context window sizes for Hy3 and Laguna S 2.1?

Hy3 supports 262K tokens and Laguna S 2.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Hy3 and Laguna S 2.1?

Key differences include LLM Stats Score (43.2 vs 40.9), context window (262K vs 1.0M), input pricing ($0.14 vs $0.10/M), licensing (Apache 2.0 vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy3 and Laguna S 2.1?

Hy3 is developed by Tencent and Laguna S 2.1 is developed by Poolside.