Model Comparison

GPT-4 vs DeepSeek-V3

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is 78.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4 outperforms in 0 benchmarks, while DeepSeek-V3 is better at 3 benchmarks (DROP, GPQA, MMLU).

DeepSeek-V3 significantly outperforms across most benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, GPT-4 ($30.00/1M tokens) is 111.1x more expensive than DeepSeek-V3 ($0.27/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 54.5x more expensive than DeepSeek-V3 ($1.10/1M tokens).

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

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

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to GPT-4's 32,768 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while GPT-4 is limited to 32,768 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-4

Text
Images
Audio
Video

DeepSeek-V3

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).

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

GPT-4

Proprietary

Closed source

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek-V3 is 19 months newer than GPT-4.

GPT-4

Jun 13, 2023

2.8 years ago

DeepSeek-V3

Dec 25, 2024

1.3 years ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while DeepSeek-V3's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

GPT-4

Dec 2022

DeepSeek-V3

—

Provider Availability

GPT-4 is available from Azure, OpenAI. DeepSeek-V3 is available from DeepSeek.

GPT-4

azure logo
Azure
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Supports multimodal inputs
DeepSeek
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher DROP score (91.6% vs 80.9%)
Higher GPQA score (59.1% vs 35.7%)
Higher MMLU score (88.5% vs 86.4%)

Detailed Comparison

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

FAQ

Common questions about GPT-4 vs DeepSeek-V3

DeepSeek-V3 significantly outperforms across most benchmarks. GPT-4 is made by OpenAI and DeepSeek-V3 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.
DeepSeek-V3 is 111.1x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek.
GPT-4 supports 33K tokens and DeepSeek-V3 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (33K vs 131K), input pricing ($30.00 vs $0.27/M), multimodal support (yes vs no), licensing (Proprietary vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.
GPT-4 is developed by OpenAI and DeepSeek-V3 is developed by DeepSeek.