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Hy4 preview vs K-EXAONE-236B-A23B

Hy4 preview leads the LLM Stats Score 51.0 to 26.2.

Tencent · LG AI Research · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 51.0 to 26.2, ranking #14 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Hy4 preview

  • overall performance matters — it scores 51.0 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose K-EXAONE-236B-A23B

  • you want predictable pricing at $0.60/M input and $1.00/M output

At a glance

The differences that matter most.

Hy4 preview
Tencent
K-EXAONE-236B-A23B
LG AI Research
Core performance indexes
LLM Stats Score
51.0
#14
26.2
#151
Reasoning
50.8
#10
27.2
#139
Agents
36.7
#16
4.0
#157
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.60 / M
Output price
— / M
$1.00 / M
Context window
—
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Hy4 preview
K-EXAONE-236B-A23B
Math
41.0#11
28.0#96
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

32 reported for Hy4 preview · 6 for K-EXAONE-236B-A23B

No common benchmarks found

Hy4 preview and K-EXAONE-236B-A23Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

534.0B diff

Hy4 preview has 534.0B more parameters than K-EXAONE-236B-A23B, making it 226.3% larger.

Tencent
Hy4 preview
770.0Bparameters
LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
770.0B
Hy4 preview
236.0B
K-EXAONE-236B-A23B

Context Window

Maximum input and output token capacity

Only K-EXAONE-236B-A23B specifies input context (32,768 tokens). Only K-EXAONE-236B-A23B specifies output context (32,768 tokens).

Tencent
Hy4 preview
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Sun Sep 20 2026 • llm-stats.com

License

Usage and distribution terms

Hy4 preview is licensed under Apache 2.0, while K-EXAONE-236B-A23B uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Hy4 preview

Apache 2.0

Open weights

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Hy4 preview was released on 2026-08-28, while K-EXAONE-236B-A23B was released on 2025-12-31.

Hy4 preview is 8 months newer than K-EXAONE-236B-A23B.

Hy4 preview

Aug 28, 2026

3 weeks ago

8mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

8 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Hy4 preview's cutoff date is not specified.

We can confirm K-EXAONE-236B-A23B's training data extends to 2025-10-01, but cannot make a direct comparison without Hy4 preview's cutoff date.

Hy4 preview

—

K-EXAONE-236B-A23B

Oct 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Hy4 preview and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.

Hy4 preview
✓ Preferred
K-EXAONE-236B-A23B
Open in Playground

FAQ

Common questions about Hy4 preview vs K-EXAONE-236B-A23B.

Which is better, Hy4 preview or K-EXAONE-236B-A23B?

Hy4 preview leads the LLM Stats Score 51.0 to 26.2. Hy4 preview is made by Tencent and K-EXAONE-236B-A23B is made by LG AI Research. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Hy4 preview compare to K-EXAONE-236B-A23B in benchmarks?

Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.

What are the context window sizes for Hy4 preview and K-EXAONE-236B-A23B?

Hy4 preview supports an unknown number of tokens and K-EXAONE-236B-A23B supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Hy4 preview and K-EXAONE-236B-A23B?

Key differences include LLM Stats Score (51.0 vs 26.2), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy4 preview and K-EXAONE-236B-A23B?

Hy4 preview is developed by Tencent and K-EXAONE-236B-A23B is developed by LG AI Research.

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