Model Comparison

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

Both models are evenly matched across the benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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

Both models are evenly matched across the benchmarks.

Fri Apr 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

37.5B diff

Llama 3.3 70B Instruct has 37.5B more parameters than Qwen2.5 32B Instruct, making it 115.4% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
70.0B
Llama 3.3 70B Instruct
32.5B
Qwen2.5 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 32B Instruct
Input- tokens
Output- tokens
Fri Apr 10 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Qwen2.5 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 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 32B Instruct was released on 2024-09-19.

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

Llama 3.3 70B Instruct

Dec 6, 2024

1.3 years ago

2mo newer
Qwen2.5 32B Instruct

Sep 19, 2024

1.6 years ago

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

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Key Takeaways

Larger context window (128,000 tokens)
Higher GPQA score (50.5% vs 49.5%)
Higher MMLU score (86.0% vs 83.3%)
Alibaba Cloud / Qwen Team

Qwen2.5 32B Instruct

View details

Alibaba Cloud / Qwen Team

Higher MATH score (83.1% vs 77.0%)
Higher MMLU-Pro score (69.0% vs 68.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.3 70B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct

FAQ

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

Both models are evenly matched across the benchmarks. Llama 3.3 70B Instruct is made by Meta and Qwen2.5 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.
Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.
Llama 3.3 70B Instruct supports 128K tokens and Qwen2.5 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Llama 3.3 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 3.3 70B Instruct is developed by Meta and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.