Model Comparison

DeepSeek-V3.2-Exp vs o4-mini

o4-mini shows notably better performance in the majority of benchmarks. DeepSeek-V3.2-Exp is 6.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-V3.2-Exp outperforms in 2 benchmarks (Aider-Polyglot, Humanity's Last Exam), while o4-mini is better at 4 benchmarks (AIME 2025, BrowseComp, GPQA, SWE-Bench Verified).

o4-mini shows notably better performance in the majority of benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 4.1x cheaper than o4-mini ($1.10/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 10.7x cheaper than o4-mini ($4.40/1M tokens).

In conclusion, o4-mini is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Sat May 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
OpenAI
o4-mini
Input tokens$1.10
Output tokens$4.40
Best providerOpenAI
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Context Window

Maximum input and output token capacity

o4-mini accepts 200,000 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. o4-mini can generate longer responses up to 100,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o4-mini supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

o4-mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

o4-mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while o4-mini uses a proprietary license.

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

DeepSeek-V3.2-Exp

MIT

Open weights

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while o4-mini was released on 2025-04-16.

DeepSeek-V3.2-Exp is 6 months newer than o4-mini.

DeepSeek-V3.2-Exp

Sep 29, 2025

8 months ago

5mo newer
o4-mini

Apr 16, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while DeepSeek-V3.2-Exp's cutoff date is not specified.

We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek-V3.2-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

o4-mini

May 2024

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. o4-mini is available from OpenAI.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

o4-mini

openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Aider-Polyglot score (74.5% vs 68.9%)
Higher Humanity's Last Exam score (19.8% vs 14.7%)
OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (92.7% vs 89.3%)
Higher BrowseComp score (51.5% vs 40.1%)
Higher GPQA score (81.4% vs 79.9%)
Higher SWE-Bench Verified score (68.1% vs 67.8%)
DeepSeekDeepSeek-V3.2-Exp
OpenAIo4-mini
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
OpenAI
o4-mini

FAQ

Common questions about DeepSeek-V3.2-Exp vs o4-mini.

Which is better, DeepSeek-V3.2-Exp or o4-mini?

o4-mini shows notably better performance in the majority of benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and o4-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-Exp compare to o4-mini in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

Is DeepSeek-V3.2-Exp cheaper than o4-mini?

DeepSeek-V3.2-Exp is 4.1x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. o4-mini costs $1.10/M input and $4.40/M output via openai.

What are the context window sizes for DeepSeek-V3.2-Exp and o4-mini?

DeepSeek-V3.2-Exp supports 164K tokens and o4-mini supports 200K 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-Exp and o4-mini?

Key differences include context window (164K vs 200K), input pricing ($0.27 vs $1.10/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-Exp and o4-mini?

DeepSeek-V3.2-Exp is developed by DeepSeek and o4-mini is developed by OpenAI.