Model Comparison

DeepSeek-V3 vs GPT-4.1

GPT-4.1 significantly outperforms across most benchmarks. DeepSeek-V3 is 7.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-V3 outperforms in 1 benchmarks (Aider-Polyglot Edit), while GPT-4.1 is better at 6 benchmarks (Aider-Polyglot, AIME 2024, GPQA, IFEval, MMLU, SWE-Bench Verified).

GPT-4.1 significantly outperforms across most benchmarks.

Thu Apr 30 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 7.4x cheaper than GPT-4.1 ($2.00/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 7.3x cheaper than GPT-4.1 ($8.00/1M tokens).

In conclusion, GPT-4.1 is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 accepts 1,047,576 input tokens compared to DeepSeek-V3's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while GPT-4.1 is limited to 32,768 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 supports multimodal inputs, whereas DeepSeek-V3 does not.

GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

GPT-4.1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while GPT-4.1 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-4.1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while GPT-4.1 was released on 2025-04-14.

GPT-4.1 is 4 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

GPT-4.1

Apr 14, 2025

1.0 years ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

—

GPT-4.1

Jun 2024

Provider Availability

DeepSeek-V3 is available from DeepSeek. GPT-4.1 is available from OpenAI.

DeepSeek-V3

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

GPT-4.1

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* 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 Edit score (79.7% vs 52.9%)
OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Higher Aider-Polyglot score (51.6% vs 49.6%)
Higher AIME 2024 score (48.1% vs 39.2%)
Higher GPQA score (66.3% vs 59.1%)
Higher IFEval score (87.4% vs 86.1%)
Higher MMLU score (90.2% vs 88.5%)
Higher SWE-Bench Verified score (54.6% vs 42.0%)
DeepSeekDeepSeek-V3
OpenAIGPT-4.1
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
OpenAI
GPT-4.1

FAQ

Common questions about DeepSeek-V3 vs GPT-4.1

GPT-4.1 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and GPT-4.1 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-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%.
DeepSeek-V3 is 7.4x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. GPT-4.1 costs $2.00/M input and $8.00/M output via openai.
DeepSeek-V3 supports 131K tokens and GPT-4.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 1.0M), input pricing ($0.27 vs $2.00/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-4.1 is developed by OpenAI.