DeepSeek R1 Distill Qwen 1.5B vs Llama 3.2 90B Instruct

Comparing DeepSeek R1 Distill Qwen 1.5B by DeepSeek and Llama 3.2 90B Instruct by Meta across benchmarks, pricing, and capabilities.

Llama 3.2 90B Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Llama 3.2 90B Instruct is better at 1 benchmark (GPQA).

Llama 3.2 90B Instruct significantly outperforms across most benchmarks.

Thu Mar 26 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
Thu Mar 26 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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Model Size

Parameter count comparison

88.2B diff

Llama 3.2 90B Instruct has 88.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 4956.2% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Meta
Llama 3.2 90B Instruct
90.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
90.0B
Llama 3.2 90B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Mar 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 90B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

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

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Llama 3.2 90B Instruct uses Llama 3.2.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Llama 3.2 90B Instruct was released on 2024-09-25.

DeepSeek R1 Distill Qwen 1.5B is 4 months newer than Llama 3.2 90B Instruct.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.2 years ago

3mo newer
Llama 3.2 90B Instruct

Sep 25, 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

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Supports multimodal inputs
Higher GPQA score (46.7% vs 33.8%)

Detailed Comparison