Model Comparison

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

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is 13.9x 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, MMLU-Pro), while GPT-4o is better at 0 benchmarks.

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

Thu Jun 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Thinking) costs less

For input processing, DeepSeek-V3.2 (Thinking) ($0.28/1M tokens) is 8.9x cheaper than GPT-4o ($2.50/1M tokens).

For output processing, DeepSeek-V3.2 (Thinking) ($0.42/1M tokens) is 23.8x cheaper than GPT-4o ($10.00/1M tokens).

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

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

Lowest available price from all providers
Thu Jun 04 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
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Context Window

Maximum input and output token capacity

DeepSeek-V3.2 (Thinking) accepts 131,072 input tokens compared to GPT-4o's 128,000 tokens. DeepSeek-V3.2 (Thinking) can generate longer responses up to 65,536 tokens, while GPT-4o is limited to 4,096 tokens.

DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
Thu Jun 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

GPT-4o 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

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 (Thinking) is licensed under MIT, while GPT-4o 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

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2 (Thinking) was released on 2025-12-01, while GPT-4o was released on 2024-05-13.

DeepSeek-V3.2 (Thinking) is 19 months newer than GPT-4o.

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

6 months ago

1.6yr newer
GPT-4o

May 13, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

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

DeepSeek-V3.2 (Thinking)

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

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (82.4% vs 53.6%)
Higher MMLU-Pro score (85.0% vs 72.6%)
OpenAI
Supports multimodal inputs
DeepSeekDeepSeek-V3.2 (Thinking)
OpenAIGPT-4o
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Detailed Comparison

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

FAQ

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

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

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is made by DeepSeek and GPT-4o 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 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 scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%.

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

DeepSeek-V3.2 (Thinking) is 8.9x cheaper for input tokens. DeepSeek-V3.2 (Thinking) costs $0.28/M input and $0.42/M output via deepseek. GPT-4o costs $2.50/M input and $10.00/M output via azure.

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

DeepSeek-V3.2 (Thinking) supports 131K tokens and GPT-4o 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?

Key differences include context window (131K vs 128K), input pricing ($0.28 vs $2.50/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?

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