Model Comparison

DeepSeek R1 Distill Qwen 32B vs GPT-5 nano

GPT-5 nano significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 1.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while GPT-5 nano is better at 1 benchmark (GPQA).

GPT-5 nano significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.4x more expensive than GPT-5 nano ($0.05/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 2.2x cheaper than GPT-5 nano ($0.40/1M tokens).

In conclusion, GPT-5 nano is more expensive than DeepSeek R1 Distill Qwen 32B.*

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

Lowest available price from all providers
Thu May 14 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
OpenAI
GPT-5 nano
Input tokens$0.05
Output tokens$0.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 nano accepts 400,000 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.

GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 32B

Text
Images
Audio
Video

GPT-5 nano

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while GPT-5 nano uses a proprietary license.

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

GPT-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 7 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.3 years ago

GPT-5 nano

Aug 7, 2025

9 months ago

6mo newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

—

GPT-5 nano

May 2024

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. GPT-5 nano is available from OpenAI.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

GPT-5 nano

openai logo
OpenAI
Input Price:Input: $0.05/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive output tokens
Has open weights
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher GPQA score (71.2% vs 62.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
OpenAI
GPT-5 nano

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs GPT-5 nano.

Which is better, DeepSeek R1 Distill Qwen 32B or GPT-5 nano?

GPT-5 nano significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and GPT-5 nano is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 32B compare to GPT-5 nano in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.

Is DeepSeek R1 Distill Qwen 32B cheaper than GPT-5 nano?

GPT-5 nano is 2.4x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. GPT-5 nano costs $0.05/M input and $0.40/M output via openai.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and GPT-5 nano?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and GPT-5 nano supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 32B and GPT-5 nano?

Key differences include context window (128K vs 400K), input pricing ($0.12 vs $0.05/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and GPT-5 nano?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and GPT-5 nano is developed by OpenAI.