Llama 3.2 3B Instruct vs Qwen2.5-Coder 32B Instruct Comparison

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Llama 3.2 3B Instruct outperforms in 1 benchmarks (ARC-C), while Qwen2.5-Coder 32B Instruct is better at 4 benchmarks (GSM8k, HellaSwag, MATH, MMLU).

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Sun Mar 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 3B Instruct costs less

For input processing, Llama 3.2 3B Instruct ($0.01/1M tokens) is 9.0x cheaper than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Llama 3.2 3B Instruct ($0.02/1M tokens) is 4.5x cheaper than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Qwen2.5-Coder 32B Instruct is more expensive than Llama 3.2 3B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Mar 15 2026 • llm-stats.com
Meta
Llama 3.2 3B Instruct
Input tokens$0.01
Output tokens$0.02
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
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Model Size

Parameter count comparison

28.8B diff

Qwen2.5-Coder 32B Instruct has 28.8B more parameters than Llama 3.2 3B Instruct, making it 896.9% larger.

Meta
Llama 3.2 3B Instruct
3.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
3.2B
Llama 3.2 3B Instruct
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Mar 15 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.2 3B Instruct is licensed under Llama 3.2 Community License, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

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

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 3B Instruct was released on 2024-09-25, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Llama 3.2 3B Instruct is 0 month newer than Qwen2.5-Coder 32B Instruct.

Llama 3.2 3B Instruct

Sep 25, 2024

1.5 years ago

6d newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.5 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

Provider Availability

Llama 3.2 3B Instruct is available from DeepInfra. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks. The availability of providers can affect quality of the model and reliability.

Llama 3.2 3B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.01/1MOutput Price:Output: $0.02/1M

Qwen2.5-Coder 32B Instruct

lambda logo
Lambda
Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Higher ARC-C score (78.6% vs 70.5%)
Higher GSM8k score (91.1% vs 77.7%)
Higher HellaSwag score (83.0% vs 69.8%)
Higher MATH score (57.2% vs 48.0%)
Higher MMLU score (75.1% vs 63.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.2 3B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct