Model Comparison

DeepSeek-V3.1 vs GPT-4.1

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is 7.7x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-V3.1 outperforms in 7 benchmarks (Aider-Polyglot, AIME 2024, AIME 2025, GPQA, HMMT 2025, Humanity's Last Exam, SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Fri May 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 7.4x cheaper than GPT-4.1 ($2.00/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 8.0x cheaper than GPT-4.1 ($8.00/1M tokens).

In conclusion, GPT-4.1 is more expensive than DeepSeek-V3.1.*

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

Lowest available price from all providers
Fri May 08 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

GPT-4.1 accepts 1,047,576 input tokens compared to DeepSeek-V3.1's 163,840 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while GPT-4.1 is limited to 32,768 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Fri May 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 supports multimodal inputs, whereas DeepSeek-V3.1 does not.

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

DeepSeek-V3.1

Text
Images
Audio
Video

GPT-4.1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, 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-V3.1

MIT

Open weights

GPT-4.1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while GPT-4.1 was released on 2025-04-14.

GPT-4.1 is 3 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

GPT-4.1

Apr 14, 2025

1.1 years ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3.1'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-V3.1's cutoff date.

DeepSeek-V3.1

GPT-4.1

Jun 2024

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. GPT-4.1 is available from OpenAI.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

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

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Aider-Polyglot score (68.4% vs 51.6%)
Higher AIME 2024 score (66.3% vs 48.1%)
Higher AIME 2025 score (49.8% vs 46.4%)
Higher GPQA score (74.9% vs 66.3%)
Higher HMMT 2025 score (33.5% vs 28.9%)
Higher Humanity's Last Exam score (15.9% vs 5.4%)
Higher SWE-Bench Verified score (66.0% vs 54.6%)
Larger context window (1,047,576 tokens)
Supports multimodal inputs
DeepSeekDeepSeek-V3.1
OpenAIGPT-4.1

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
OpenAI
GPT-4.1

FAQ

Common questions about DeepSeek-V3.1 vs GPT-4.1.

Which is better, DeepSeek-V3.1 or GPT-4.1?

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 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.

How does DeepSeek-V3.1 compare to GPT-4.1 in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%.

Is DeepSeek-V3.1 cheaper than GPT-4.1?

DeepSeek-V3.1 is 7.4x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. GPT-4.1 costs $2.00/M input and $8.00/M output via openai.

What are the context window sizes for DeepSeek-V3.1 and GPT-4.1?

DeepSeek-V3.1 supports 164K 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.

What are the main differences between DeepSeek-V3.1 and GPT-4.1?

Key differences include context window (164K vs 1.0M), input pricing ($0.27 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and GPT-4.1?

DeepSeek-V3.1 is developed by DeepSeek and GPT-4.1 is developed by OpenAI.