The AI arena is free today

Open Superagent

Hy4 preview vs Llama 3.2 3B Instruct

Hy4 preview leads the LLM Stats Score 51.5 to -5.9.

Tencent · Meta · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 51.5 to -5.9, ranking #10 overall.

In the 1 individual benchmarks reported for both models, Hy4 preview wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Hy4 preview

  • overall performance matters — it scores 51.5 and ranks #10 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

Choose Llama 3.2 3B Instruct

  • you want predictable pricing at $0.01/M input and $0.02/M output

At a glance

The differences that matter most.

Core performance indexes
51.5
#10
-5.9
#344
51.2
#8
-6.5
#337
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.01 / M
Output price
— / M
$0.02 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Hy4 preview
Llama 3.2 3B Instruct
40.3#12
-3.3#302
32.6#7
4.7#149
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

32 reported for Hy4 preview · 15 for Llama 3.2 3B Instruct

1 shared

Hy4 preview outperforms in 1 benchmarks (GPQA), while Llama 3.2 3B Instruct is better at 0 benchmarks.

Hy4 preview significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

766.8B diff

Hy4 preview has 766.8B more parameters than Llama 3.2 3B Instruct, making it 23887.5% larger.

Tencent
Hy4 preview
770.0Bparameters
Meta
Llama 3.2 3B Instruct
3.2Bparameters
770.0B
Hy4 preview
3.2B
Llama 3.2 3B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).

Tencent
Hy4 preview
Input- tokens
Output- tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

Hy4 preview is licensed under Apache 2.0, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.

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

Hy4 preview

Apache 2.0

Open weights

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Hy4 preview was released on 2026-08-28, while Llama 3.2 3B Instruct was released on 2024-09-25.

Hy4 preview is 23 months newer than Llama 3.2 3B Instruct.

Hy4 preview

Aug 28, 2026

2 days ago

1.9yr newer
Llama 3.2 3B Instruct

Sep 25, 2024

1.9 years ago

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Hy4 preview and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.

Hy4 preview
✓ Preferred
Llama 3.2 3B Instruct
Open in Playground

FAQ

Common questions about Hy4 preview vs Llama 3.2 3B Instruct.

Which is better, Hy4 preview or Llama 3.2 3B Instruct?

Hy4 preview leads the LLM Stats Score 51.5 to -5.9. Hy4 preview is made by Tencent and Llama 3.2 3B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Hy4 preview compare to Llama 3.2 3B Instruct 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%. Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

What are the context window sizes for Hy4 preview and Llama 3.2 3B Instruct?

Hy4 preview supports an unknown number of tokens and Llama 3.2 3B 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 Hy4 preview and Llama 3.2 3B Instruct?

Key differences include LLM Stats Score (51.5 vs -5.9), licensing (Apache 2.0 vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy4 preview and Llama 3.2 3B Instruct?

Hy4 preview is developed by Tencent and Llama 3.2 3B Instruct is developed by Meta.