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Hy4 preview vs Llama 3.3 70B Instruct

Hy4 preview leads the LLM Stats Score 51.5 to 14.0.

Tencent · Meta · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 51.5 to 14.0, 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 and coding — 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 3.3 70B Instruct

  • you want predictable pricing at $0.20/M input and $0.20/M output

At a glance

The differences that matter most.

Hy4 preview
Tencent
Llama 3.3 70B Instruct
Meta
Core performance indexes
LLM Stats Score
51.5
#10
14.0
#226
Reasoning
51.2
#8
11.9
#236
Coding
40.9
#10
9.4
#161
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.20 / M
Output price
— / M
$0.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Hy4 preview
Llama 3.3 70B Instruct
Math
40.3#12
17.7#183
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

32 reported for Hy4 preview · 9 for Llama 3.3 70B Instruct

1 shared

Hy4 preview outperforms in 1 benchmarks (GPQA), while Llama 3.3 70B 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

700.0B diff

Hy4 preview has 700.0B more parameters than Llama 3.3 70B Instruct, making it 1000.0% larger.

Tencent
Hy4 preview
770.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
770.0B
Hy4 preview
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

Tencent
Hy4 preview
Input- tokens
Output- tokens
Meta
Llama 3.3 70B 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 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

Hy4 preview

Apache 2.0

Open weights

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Hy4 preview was released on 2026-08-28, while Llama 3.3 70B Instruct was released on 2024-12-06.

Hy4 preview is 21 months newer than Llama 3.3 70B Instruct.

Hy4 preview

Aug 28, 2026

3 days ago

1.7yr newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.7 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 3.3 70B Instruct side-by-side, then vote on the output you prefer.

Hy4 preview
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about Hy4 preview vs Llama 3.3 70B Instruct.

Which is better, Hy4 preview or Llama 3.3 70B Instruct?

Hy4 preview leads the LLM Stats Score 51.5 to 14.0. Hy4 preview is made by Tencent and Llama 3.3 70B 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 3.3 70B 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 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

What are the context window sizes for Hy4 preview and Llama 3.3 70B Instruct?

Hy4 preview supports an unknown number of tokens and Llama 3.3 70B 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 3.3 70B Instruct?

Key differences include LLM Stats Score (51.5 vs 14.0), licensing (Apache 2.0 vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy4 preview and Llama 3.3 70B Instruct?

Hy4 preview is developed by Tencent and Llama 3.3 70B Instruct is developed by Meta.

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