Model Comparison

Llama 3.3 70B Instruct vs Qwen2.5 VL 32B InstructWhich is better in 2026?

Llama 3.3 70B Instruct has a slight edge in benchmark performance.

Verdict: Llama 3.3 70B Instruct vs Qwen2.5 VL 32B Instruct — which is better?

Llama 3.3 70B Instruct (by Meta) and Qwen2.5 VL 32B Instruct (by Alibaba Cloud / Qwen Team) 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.

Llama 3.3 70B Instruct outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen2.5 VL 32B Instruct is better at 2 benchmarks (HumanEval, MATH). Llama 3.3 70B Instruct has a slight edge in benchmark performance.

Choose Llama 3.3 70B Instruct if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks

Choose Qwen2.5 VL 32B Instruct if…

  • you want the most recent training data — it shipped Feb 2025

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Llama 3.3 70B Instruct outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen2.5 VL 32B Instruct is better at 2 benchmarks (HumanEval, MATH).

Llama 3.3 70B Instruct has a slight edge in benchmark performance.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

36.5B diff

Llama 3.3 70B Instruct has 36.5B more parameters than Qwen2.5 VL 32B Instruct, making it 109.0% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
33.5Bparameters
70.0B
Llama 3.3 70B Instruct
33.5B
Qwen2.5 VL 32B 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).

Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.3 70B Instruct

Text
Images
Audio
Video

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Qwen2.5 VL 32B Instruct is 3 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.6 years ago

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.4 years ago

2mo newer

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→

Key Takeaways

Meta
Larger context window (128,000 tokens)
Higher GPQA score (50.5% vs 46.0%)
Higher MMLU score (86.0% vs 78.4%)
Higher MMLU-Pro score (68.9% vs 68.8%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher HumanEval score (91.5% vs 88.4%)
Higher MATH score (82.2% vs 77.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.3 70B Instruct and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
Qwen2.5 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.3 70B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct

FAQ

Common questions about Llama 3.3 70B Instruct vs Qwen2.5 VL 32B Instruct.

Which is better, Llama 3.3 70B Instruct or Qwen2.5 VL 32B Instruct?

Llama 3.3 70B Instruct has a slight edge in benchmark performance. Llama 3.3 70B Instruct is made by Meta and Qwen2.5 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.3 70B Instruct compare to Qwen2.5 VL 32B Instruct in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for Llama 3.3 70B Instruct and Qwen2.5 VL 32B Instruct?

Llama 3.3 70B Instruct supports 128K tokens and Qwen2.5 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.3 70B Instruct and Qwen2.5 VL 32B Instruct?

Key differences include multimodal support (no vs yes), licensing (Llama 3.3 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and Qwen2.5 VL 32B Instruct?

Llama 3.3 70B Instruct is developed by Meta and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons