Model Comparison

Hy3 vs Llama 3.2 11B InstructWhich is better in 2026?

Hy3 significantly outperforms across most benchmarks.

Verdict: Hy3 vs Llama 3.2 11B Instruct — which is better?

Hy3 (by Tencent) and Llama 3.2 11B Instruct (by Meta) 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.

Hy3 outperforms in 1 benchmarks (GPQA), while Llama 3.2 11B Instruct is better at 0 benchmarks. Hy3 significantly outperforms across most benchmarks.

Choose Hy3 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Choose Llama 3.2 11B Instruct if…

  • you want predictable pricing at $0.05/M input and $0.05/M output

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Hy3 outperforms in 1 benchmarks (GPQA), while Llama 3.2 11B Instruct is better at 0 benchmarks.

Hy3 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

284.4B diff

Hy3 has 284.4B more parameters than Llama 3.2 11B Instruct, making it 2683.0% larger.

Tencent
Hy3
295.0Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
295.0B
Hy3
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Tencent
Hy3
Input- tokens
Output- tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas Hy3 does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Hy3

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Hy3 is licensed under Apache 2.0, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

Hy3

Apache 2.0

Open weights

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while Llama 3.2 11B Instruct was released on 2024-09-25.

Hy3 is 22 months newer than Llama 3.2 11B Instruct.

Hy3

Jul 6, 2026

1 weeks ago

1.8yr newer
Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Hy3's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Hy3's cutoff date.

Hy3

—

Llama 3.2 11B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Tencent
Higher GPQA score (90.4% vs 32.8%)
Meta
Larger context window (128,000 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Hy3 and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground
AI Model Comparison Table
Feature
Tencent
Hy3
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about Hy3 vs Llama 3.2 11B Instruct.

Which is better, Hy3 or Llama 3.2 11B Instruct?

Hy3 significantly outperforms across most benchmarks. Hy3 is made by Tencent and Llama 3.2 11B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Hy3 compare to Llama 3.2 11B Instruct in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

What are the context window sizes for Hy3 and Llama 3.2 11B Instruct?

Hy3 supports an unknown number of tokens and Llama 3.2 11B Instruct supports 128K 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 Llama 3.2 11B Instruct?

Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy3 and Llama 3.2 11B Instruct?

Hy3 is developed by Tencent and Llama 3.2 11B Instruct is developed by Meta.

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