Model Comparison

DeepSeek-V3.2 (Thinking) vs GPT-4o mini

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. GPT-4o mini is 1.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.2 (Thinking) outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while GPT-4o mini is better at 0 benchmarks.

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, DeepSeek-V3.2 (Thinking) ($0.28/1M tokens) is 1.9x more expensive than GPT-4o mini ($0.15/1M tokens).

For output processing, DeepSeek-V3.2 (Thinking) ($0.42/1M tokens) is 1.4x cheaper than GPT-4o mini ($0.60/1M tokens).

In conclusion, DeepSeek-V3.2 (Thinking) is more expensive than GPT-4o mini.*

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

Lowest available price from all providers
Sun May 10 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V3.2 (Thinking) accepts 131,072 input tokens compared to GPT-4o mini's 128,000 tokens. DeepSeek-V3.2 (Thinking) can generate longer responses up to 65,536 tokens, while GPT-4o mini is limited to 16,384 tokens.

DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2 (Thinking)

Text
Images
Audio
Video

GPT-4o mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 (Thinking) is licensed under MIT, while GPT-4o mini uses a proprietary license.

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

DeepSeek-V3.2 (Thinking)

MIT

Open weights

GPT-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2 (Thinking) was released on 2025-12-01, while GPT-4o mini was released on 2024-07-18.

DeepSeek-V3.2 (Thinking) is 17 months newer than GPT-4o mini.

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

5 months ago

1.4yr newer
GPT-4o mini

Jul 18, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V3.2 (Thinking)'s cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek-V3.2 (Thinking)'s cutoff date.

DeepSeek-V3.2 (Thinking)

—

GPT-4o mini

Oct 2023

Provider Availability

DeepSeek-V3.2 (Thinking) is available from DeepSeek. GPT-4o mini is available from Azure.

DeepSeek-V3.2 (Thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Less expensive output tokens
Has open weights
Higher GPQA score (82.4% vs 40.2%)
Higher SWE-Bench Verified score (73.1% vs 8.7%)
OpenAI
Supports multimodal inputs
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Thinking)
OpenAI
GPT-4o mini

FAQ

Common questions about DeepSeek-V3.2 (Thinking) vs GPT-4o mini.

Which is better, DeepSeek-V3.2 (Thinking) or GPT-4o mini?

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is made by DeepSeek and GPT-4o mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.2 (Thinking) compare to GPT-4o mini in benchmarks?

DeepSeek-V3.2 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.

Is DeepSeek-V3.2 (Thinking) cheaper than GPT-4o mini?

GPT-4o mini is 1.9x cheaper for input tokens. DeepSeek-V3.2 (Thinking) costs $0.28/M input and $0.42/M output via deepseek. GPT-4o mini costs $0.15/M input and $0.60/M output via azure.

What are the context window sizes for DeepSeek-V3.2 (Thinking) and GPT-4o mini?

DeepSeek-V3.2 (Thinking) supports 131K tokens and GPT-4o mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2 (Thinking) and GPT-4o mini?

Key differences include context window (131K vs 128K), input pricing ($0.28 vs $0.15/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2 (Thinking) and GPT-4o mini?

DeepSeek-V3.2 (Thinking) is developed by DeepSeek and GPT-4o mini is developed by OpenAI.