Model Comparison

Hy3 vs K-EXAONE-236B-A23BWhich is better in 2026?

Comparing Hy3 and K-EXAONE-236B-A23B across benchmarks, pricing, and capabilities.

Verdict: Hy3 vs K-EXAONE-236B-A23B — which is better?

Hy3 (by Tencent) and K-EXAONE-236B-A23B (by LG AI Research) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Hy3 if…

  • you want the most recent training data — it shipped Jul 2026
  • you need open weights you can self-host or fine-tune

Choose K-EXAONE-236B-A23B if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Hy3 and K-EXAONE-236B-A23Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

59.0B diff

Hy3 has 59.0B more parameters than K-EXAONE-236B-A23B, making it 25.0% larger.

Tencent
Hy3
295.0Bparameters
LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
295.0B
Hy3
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
Hy3
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Wed Jul 22 2026 • llm-stats.com

License

Usage and distribution terms

Hy3 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.

Hy3

Apache 2.0

Open weights

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while K-EXAONE-236B-A23B was released on 2025-12-31.

Hy3 is 6 months newer than K-EXAONE-236B-A23B.

Hy3

Jul 6, 2026

2 weeks ago

6mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

6 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Hy3'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 Hy3's cutoff date.

Hy3

—

K-EXAONE-236B-A23B

Oct 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Tencent
Has open weights
LG AI Research
Larger context window (32,768 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Hy3 and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
K-EXAONE-236B-A23B
Open in Playground
AI Model Comparison Table
Feature
Tencent
Hy3
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about Hy3 vs K-EXAONE-236B-A23B.

Which is better, Hy3 or K-EXAONE-236B-A23B?

Hy3 (Tencent) and K-EXAONE-236B-A23B (LG AI Research) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Hy3 compare to K-EXAONE-236B-A23B in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. 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 Hy3 and K-EXAONE-236B-A23B?

Hy3 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 Hy3 and K-EXAONE-236B-A23B?

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy3 and K-EXAONE-236B-A23B?

Hy3 is developed by Tencent and K-EXAONE-236B-A23B is developed by LG AI Research.

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