Model Comparison

DeepSeek-V3 vs GPT-4o

DeepSeek-V3 shows notably better performance in the majority of benchmarks. DeepSeek-V3 is 9.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3 outperforms in 3 benchmarks (DROP, GPQA, MMLU-Pro), while GPT-4o is better at 1 benchmark (MMLU).

DeepSeek-V3 shows notably better performance in the majority of benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 9.3x cheaper than GPT-4o ($2.50/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 9.1x cheaper than GPT-4o ($10.00/1M tokens).

In conclusion, GPT-4o is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
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 accepts 131,072 input tokens compared to GPT-4o's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while GPT-4o is limited to 4,096 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas DeepSeek-V3 does not.

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

DeepSeek-V3

Text
Images
Audio
Video

GPT-4o

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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

MIT + Model License (Commercial use allowed)

Open weights

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while GPT-4o was released on 2024-05-13.

DeepSeek-V3 is 8 months newer than GPT-4o.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

7mo newer
GPT-4o

May 13, 2024

1.9 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 is available from DeepSeek. GPT-4o is available from Azure, OpenAI.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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 DROP score (91.6% vs 83.4%)
Higher GPQA score (59.1% vs 53.6%)
Higher MMLU-Pro score (75.9% vs 72.6%)
OpenAI
Supports multimodal inputs
Higher MMLU score (88.7% vs 88.5%)
DeepSeekDeepSeek-V3
OpenAIGPT-4o
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
OpenAI
GPT-4o

FAQ

Common questions about DeepSeek-V3 vs GPT-4o

DeepSeek-V3 shows notably better performance in the majority of benchmarks. DeepSeek-V3 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.
DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%.
DeepSeek-V3 is 9.3x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. GPT-4o costs $2.50/M input and $10.00/M output via azure.
DeepSeek-V3 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.
Key differences include context window (131K vs 128K), input pricing ($0.27 vs $2.50/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 is developed by DeepSeek and GPT-4o is developed by OpenAI.