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Llama 3.2 11B Instruct vs Qwen2.5 VL 7B Instruct

Qwen2.5 VL 7B Instruct leads the LLM Stats Score 6.5 to -1.3.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2.5 VL 7B Instruct leads the overall LLM Stats Score 6.5 to -1.3, ranking #291 overall.

In the 4 individual benchmarks reported for both models, Qwen2.5 VL 7B Instruct wins 4; 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 11B Instruct

  • you want predictable pricing at $0.05/M input and $0.05/M output

Choose Qwen2.5 VL 7B Instruct

  • overall performance matters — it scores 6.5 and ranks #291 on LLM Stats
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Llama 3.2 11B Instruct
Meta
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-1.3
#333
6.5
#291
Reasoning
-0.8
#324
3.0
#301
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
$0.05 / M
— / M
Output price
$0.05 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.2 11B Instruct
Qwen2.5 VL 7B Instruct
Math
1.8#294
3.2#288
Vision
-0.3#182
4.3#159
Multimodal
2.4#147
6.5#132
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Llama 3.2 11B Instruct · 32 for Qwen2.5 VL 7B Instruct

4 shared

Llama 3.2 11B Instruct outperforms in 0 benchmarks, while Qwen2.5 VL 7B Instruct is better at 4 benchmarks (ChartQA, DocVQA, MMMU, MMMU-Pro).

Qwen2.5 VL 7B 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

2.3B diff

Llama 3.2 11B Instruct has 2.3B more parameters than Qwen2.5 VL 7B Instruct, making it 27.9% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
10.6B
Llama 3.2 11B Instruct
8.3B
Qwen2.5 VL 7B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Llama 3.2 11B Instruct and Qwen2.5 VL 7B Instruct support multimodal inputs.

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

Llama 3.2 11B Instruct

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Qwen2.5 VL 7B Instruct uses Apache 2.0.

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

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 11B Instruct was released on 2024-09-25, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Qwen2.5 VL 7B Instruct is 4 months newer than Llama 3.2 11B Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

2.0 years ago

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 years ago

4mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen2.5 VL 7B Instruct's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen2.5 VL 7B Instruct's cutoff date.

Llama 3.2 11B Instruct

Dec 2023

Qwen2.5 VL 7B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Llama 3.2 11B Instruct and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

Llama 3.2 11B Instruct
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

Common questions about Llama 3.2 11B Instruct vs Qwen2.5 VL 7B Instruct.

Which is better, Llama 3.2 11B Instruct or Qwen2.5 VL 7B Instruct?

Qwen2.5 VL 7B Instruct leads the LLM Stats Score 6.5 to -1.3. Llama 3.2 11B Instruct is made by Meta and Qwen2.5 VL 7B 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 11B Instruct compare to Qwen2.5 VL 7B Instruct in benchmarks?

Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for Llama 3.2 11B Instruct and Qwen2.5 VL 7B Instruct?

Llama 3.2 11B Instruct supports 128K tokens and Qwen2.5 VL 7B 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 11B Instruct and Qwen2.5 VL 7B Instruct?

Key differences include LLM Stats Score (-1.3 vs 6.5), licensing (Llama 3.2 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 11B Instruct and Qwen2.5 VL 7B Instruct?

Llama 3.2 11B Instruct is developed by Meta and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.

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