Model Comparison

DeepSeek R1 Distill Qwen 32B vs GPT-4.1 mini

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 32B is 5.2x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (AIME 2024), while GPT-4.1 mini is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Fri Apr 03 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 3.3x cheaper than GPT-4.1 mini ($0.40/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 8.9x cheaper than GPT-4.1 mini ($1.60/1M tokens).

In conclusion, GPT-4.1 mini 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
Fri Apr 03 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
OpenAI
GPT-4.1 mini
Input tokens$0.40
Output tokens$1.60
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-4.1 mini 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 mini is limited to 32,768 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Fri Apr 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

GPT-4.1 mini 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 mini

Text
Images
Audio
Video

License

Usage and distribution terms

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

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 mini was released on 2025-04-14.

GPT-4.1 mini 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 mini

Apr 14, 2025

11 months ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 mini 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 mini'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 mini

May 2024

Provider Availability

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

openai logo
OpenAI
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2024 score (83.3% vs 49.6%)
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Higher GPQA score (65.0% vs 62.1%)
DeepSeekDeepSeek R1 Distill Qwen 32B
OpenAIGPT-4.1 mini

Detailed Comparison

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

FAQ

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

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and GPT-4.1 mini 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 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%.
DeepSeek R1 Distill Qwen 32B is 3.3x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. GPT-4.1 mini costs $0.40/M input and $1.60/M output via openai.
DeepSeek R1 Distill Qwen 32B supports 128K tokens and GPT-4.1 mini 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 $0.40/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 mini is developed by OpenAI.