Model Comparison

DeepSeek R1 Distill Qwen 32B vs GPT-4.1 nano

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 2 benchmarks (AIME 2024, GPQA), while GPT-4.1 nano is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Wed Apr 01 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 1.2x more expensive than GPT-4.1 nano ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 2.2x cheaper than GPT-4.1 nano ($0.40/1M tokens).

In conclusion, GPT-4.1 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
Wed Apr 01 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
OpenAI
GPT-4.1 nano
Input tokens$0.10
Output tokens$0.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 nano accepts 1,047,576 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while GPT-4.1 nano is limited to 32,768 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Wed Apr 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 nano supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.

GPT-4.1 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-4.1 nano

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while GPT-4.1 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-4.1 nano

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while GPT-4.1 nano was released on 2025-04-14.

GPT-4.1 nano is 3 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

GPT-4.1 nano

Apr 14, 2025

11 months ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

—

GPT-4.1 nano

May 2024

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. GPT-4.1 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-4.1 nano

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput 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
Higher AIME 2024 score (83.3% vs 29.4%)
Higher GPQA score (62.1% vs 50.3%)
OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
OpenAI
GPT-4.1 nano

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs GPT-4.1 nano

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and GPT-4.1 nano is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%.
GPT-4.1 nano is 1.2x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. GPT-4.1 nano costs $0.10/M input and $0.40/M output via openai.
DeepSeek R1 Distill Qwen 32B supports 128K tokens and GPT-4.1 nano supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 1.0M), input pricing ($0.12 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and GPT-4.1 nano is developed by OpenAI.