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Llama 3.2 90B Instruct vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 5.2.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.3 to 5.2, ranking #236 overall.

In the 3 individual benchmarks reported for both models, Qwen2-VL-72B-Instruct wins 3; 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 Llama 3.2 90B Instruct

  • you want the most recent training data — it shipped Sep 2024

Choose Qwen2-VL-72B-Instruct

  • overall performance matters — it scores 14.3 and ranks #236 on LLM Stats
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

At a glance

The differences that matter most.

Core performance indexes
5.2
#296
14.3
#236
6.7
#284
11.6
#251
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.35 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Llama 3.2 90B Instruct
Qwen2-VL-72B-Instruct
2.8#165
10.5#119
5.6#136
11.6#109
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Llama 3.2 90B Instruct · 15 for Qwen2-VL-72B-Instruct

3 shared

Llama 3.2 90B Instruct outperforms in 0 benchmarks, while Qwen2-VL-72B-Instruct is better at 3 benchmarks (ChartQA, MMMU-Pro, TextVQA).

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

16.6B diff

Llama 3.2 90B Instruct has 16.6B more parameters than Qwen2-VL-72B-Instruct, making it 22.6% larger.

Meta
Llama 3.2 90B Instruct
90.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
90.0B
Llama 3.2 90B Instruct
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Llama 3.2 90B Instruct and Qwen2-VL-72B-Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Llama 3.2 90B Instruct

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 90B Instruct is licensed under Llama 3.2, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Llama 3.2 90B Instruct was released on 2024-09-25, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Llama 3.2 90B Instruct is 1 month newer than Qwen2-VL-72B-Instruct.

Llama 3.2 90B Instruct

Sep 25, 2024

2.0 years ago

3w newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Llama 3.2 90B Instruct's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Llama 3.2 90B Instruct's cutoff date.

Llama 3.2 90B Instruct

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Llama 3.2 90B Instruct and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Llama 3.2 90B Instruct
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Llama 3.2 90B Instruct vs Qwen2-VL-72B-Instruct.

Which is better, Llama 3.2 90B Instruct or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 5.2. Llama 3.2 90B Instruct is made by Meta and Qwen2-VL-72B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.2 90B Instruct compare to Qwen2-VL-72B-Instruct in benchmarks?

Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Llama 3.2 90B Instruct and Qwen2-VL-72B-Instruct?

Llama 3.2 90B Instruct supports 128K tokens and Qwen2-VL-72B-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 3.2 90B Instruct and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (5.2 vs 14.3), licensing (Llama 3.2 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 90B Instruct and Qwen2-VL-72B-Instruct?

Llama 3.2 90B Instruct is developed by Meta and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.