Model Comparison

Llama 3.2 90B Instruct vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Llama 3.2 90B Instruct and Qwen2.5 72B Instruct cost the same.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama 3.2 90B Instruct outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 2 benchmarks (GPQA, MATH).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

For input processing, Llama 3.2 90B Instruct ($0.35/1M tokens) costs the same as Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, Llama 3.2 90B Instruct ($0.40/1M tokens) costs the same as Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, Llama 3.2 90B Instruct and Qwen2.5 72B Instruct cost the same.*

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

Lowest available price from all providers
Tue May 12 2026 • llm-stats.com
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

17.3B diff

Llama 3.2 90B Instruct has 17.3B more parameters than Qwen2.5 72B Instruct, making it 23.8% larger.

Meta
Llama 3.2 90B Instruct
90.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
90.0B
Llama 3.2 90B Instruct
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 72B Instruct accepts 131,072 input tokens compared to Llama 3.2 90B Instruct's 128,000 tokens. Llama 3.2 90B Instruct can generate longer responses up to 128,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 90B Instruct supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.2 90B Instruct

Text
Images
Audio
Video

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 90B Instruct is licensed under Llama 3.2, while Qwen2.5 72B Instruct uses Qwen.

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

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Llama 3.2 90B Instruct was released on 2024-09-25, while Qwen2.5 72B Instruct was released on 2024-09-19.

Llama 3.2 90B Instruct is 0 month newer than Qwen2.5 72B Instruct.

Llama 3.2 90B Instruct

Sep 25, 2024

1.6 years ago

6d newer
Qwen2.5 72B 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 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.

Llama 3.2 90B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher GPQA score (49.0% vs 46.7%)
Higher MATH score (83.1% vs 68.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.2 90B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

Common questions about Llama 3.2 90B Instruct vs Qwen2.5 72B Instruct.

Which is better, Llama 3.2 90B Instruct or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Llama 3.2 90B Instruct is made by Meta and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.2 90B Instruct compare to Qwen2.5 72B Instruct in benchmarks?

Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

Is Llama 3.2 90B Instruct cheaper than Qwen2.5 72B Instruct?

Both models cost $0.35 per million input tokens.

What are the context window sizes for Llama 3.2 90B Instruct and Qwen2.5 72B Instruct?

Llama 3.2 90B Instruct supports 128K tokens and Qwen2.5 72B Instruct supports 131K 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 90B Instruct and Qwen2.5 72B Instruct?

Key differences include context window (128K vs 131K), multimodal support (yes vs no), licensing (Llama 3.2 vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 90B Instruct and Qwen2.5 72B Instruct?

Llama 3.2 90B Instruct is developed by Meta and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.