Model Comparison

Llama 3.3 70B Instruct vs Qwen3 VL 32B InstructWhich is better in 2026?

Qwen3 VL 32B Instruct shows notably better performance in the majority of benchmarks.

Verdict: Llama 3.3 70B Instruct vs Qwen3 VL 32B Instruct — which is better?

Llama 3.3 70B Instruct (by Meta) and Qwen3 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 1 benchmarks (IFEval), while Qwen3 VL 32B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Qwen3 VL 32B Instruct shows notably better performance in the majority of benchmarks.

Choose Llama 3.3 70B Instruct if…

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

Choose Qwen3 VL 32B Instruct if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.3 70B Instruct outperforms in 1 benchmarks (IFEval), while Qwen3 VL 32B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 VL 32B Instruct shows notably better performance in the majority of benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

37.0B diff

Llama 3.3 70B Instruct has 37.0B more parameters than Qwen3 VL 32B Instruct, making it 112.1% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
70.0B
Llama 3.3 70B Instruct
33.0B
Qwen3 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
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Qwen3 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

Qwen3 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 Qwen3 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

Qwen3 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 Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 10 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.6 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

10 months ago

9mo 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 IFEval score (92.1% vs 84.7%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (68.9% vs 50.5%)
Higher MMLU score (86.4% vs 86.0%)
Higher MMLU-Pro score (78.6% vs 68.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.3 70B Instruct and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.3 70B Instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Llama 3.3 70B Instruct vs Qwen3 VL 32B Instruct.

Which is better, Llama 3.3 70B Instruct or Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct shows notably better performance in the majority of benchmarks. Llama 3.3 70B Instruct is made by Meta and Qwen3 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 Qwen3 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%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Llama 3.3 70B Instruct and Qwen3 VL 32B Instruct?

Llama 3.3 70B Instruct supports 128K tokens and Qwen3 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 Qwen3 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 Qwen3 VL 32B Instruct?

Llama 3.3 70B Instruct is developed by Meta and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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