Model Comparison

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

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Llama 3.2 3B Instruct is 7.2x cheaper per token.

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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.

Thu Apr 16 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

Thu Apr 16 2026 • llm-stats.com

Llama 3.2 3B Instruct

Input tokens$0.01

Output tokens$0.02

Best providerDeepinfra

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.

Llama 3.2 3B Instruct

3.2Bparameters

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.

Llama 3.2 3B Instruct

Input128,000 tokens

Output128,000 tokens

Qwen2.5-Coder 32B Instruct

Input128,000 tokens

Output128,000 tokens

Thu Apr 16 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

1.6 years ago

6d newer

Qwen2.5-Coder 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

Provider Availability

Llama 3.2 3B Instruct is available from DeepInfra. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

Llama 3.2 3B Instruct

Deepinfra

Input Price:Input: $0.01/1MOutput Price:Output: $0.02/1M

Qwen2.5-Coder 32B Instruct

Lambda

Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M

Hyperbolic

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

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

Qwen2.5-Coder 32B Instruct

View details

Alibaba Cloud / Qwen Team

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

FAQ

Common questions about Llama 3.2 3B Instruct vs Qwen2.5-Coder 32B Instruct

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Llama 3.2 3B Instruct is made by Meta and Qwen2.5-Coder 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 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

Llama 3.2 3B Instruct is 9.0x cheaper for input tokens. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.

Llama 3.2 3B Instruct supports 128K tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include input pricing ($0.01 vs $0.09/M), licensing (Llama 3.2 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Llama 3.2 3B Instruct is developed by Meta and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

Llama 3.2 3B Instruct

Qwen2.5-Coder 32B Instruct

Outputs Comparison

Key Takeaways

Llama 3.2 3B Instruct

Qwen2.5-Coder 32B Instruct

Detailed Comparison

FAQ

Which is better, Llama 3.2 3B Instruct or Qwen2.5-Coder 32B Instruct?

How does Llama 3.2 3B Instruct compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Is Llama 3.2 3B Instruct cheaper than Qwen2.5-Coder 32B Instruct?

What are the context window sizes for Llama 3.2 3B Instruct and Qwen2.5-Coder 32B Instruct?

What are the main differences between Llama 3.2 3B Instruct and Qwen2.5-Coder 32B Instruct?

Who makes Llama 3.2 3B Instruct and Qwen2.5-Coder 32B Instruct?