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Llama 3.3 70B Instruct vs Qwen2.5 VL 32B Instruct

Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to 9.7.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.3 70B Instruct leads the overall LLM Stats Score 13.8 to 9.7, ranking #241 overall.

In the 5 individual benchmarks reported for both models, Llama 3.3 70B 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 3.3 70B Instruct

  • overall performance matters — it scores 13.8 and ranks #241 on LLM Stats
  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results

Choose Qwen2.5 VL 32B Instruct

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

At a glance

The differences that matter most.

Llama 3.3 70B Instruct
Meta
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
13.8
#241
9.7
#267
Reasoning
11.7
#250
8.4
#272
Coding
9.3
#172
12.4
#147
Cost, coverage & limits
Benchmark wins
3 of 5
2 of 5
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.3 70B Instruct
Qwen2.5 VL 32B Instruct
Math
17.5#194
11.5#239
Finance
14.0#131
6.5#161
Legal
14.0#114
6.5#144
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Llama 3.3 70B Instruct · 28 for Qwen2.5 VL 32B Instruct

5 shared

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.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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 (131,072 tokens). Only Llama 3.3 70B Instruct specifies output context (131,072 tokens).

Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.8 years ago

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.5 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→

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

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 leads the LLM Stats Score 13.8 to 9.7. 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 capability indexes, individual benchmarks, pricing, and limits 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 131K 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 LLM Stats Score (13.8 vs 9.7), 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.

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