Model Comparison

DeepSeek-V3.1 vs GPT-4.1 miniWhich is better in 2026?

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is 1.5x cheaper per token.

Verdict: DeepSeek-V3.1 vs GPT-4.1 mini — which is better?

DeepSeek-V3.1 (by DeepSeek) and GPT-4.1 mini (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V3.1 outperforms in 6 benchmarks (Aider-Polyglot, AIME 2024, AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GPT-4.1 mini is better at 1 benchmark (HMMT 2025). DeepSeek-V3.1 significantly outperforms across most benchmarks.

On price, DeepSeek-V3.1 is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 mini also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V3.1 if…

  • you want the strongest raw capability — it leads on 6 of 7 shared benchmarks
  • cost matters — it's about 1.5x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GPT-4.1 mini if…

  • you process long inputs — it offers a 1,047,576 token context window
  • you want the most recent training data — it shipped Apr 2025
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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-V3.1 outperforms in 6 benchmarks (Aider-Polyglot, AIME 2024, AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GPT-4.1 mini is better at 1 benchmark (HMMT 2025).

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Thu Jun 25 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 1.5x cheaper than GPT-4.1 mini ($0.40/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 1.6x cheaper than GPT-4.1 mini ($1.60/1M tokens).

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

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

Lowest available price from all providers
Thu Jun 25 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
OpenAI
GPT-4.1 mini
Input tokens$0.40
Output tokens$1.60
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 mini 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 mini is limited to 32,768 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Thu Jun 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

GPT-4.1 mini 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 mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while GPT-4.1 mini 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 mini

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

DeepSeek-V3.1

Jan 10, 2025

1.5 years ago

GPT-4.1 mini

Apr 14, 2025

1.2 years ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while DeepSeek-V3.1's cutoff date is not specified.

We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek-V3.1's cutoff date.

DeepSeek-V3.1

—

GPT-4.1 mini

May 2024

Provider Availability

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

openai logo
OpenAI
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
* 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 score (68.4% vs 34.7%)
Higher AIME 2024 score (66.3% vs 49.6%)
Higher AIME 2025 score (49.8% vs 40.2%)
Higher GPQA score (74.9% vs 65.0%)
Higher Humanity's Last Exam score (15.9% vs 3.7%)
Higher SWE-Bench Verified score (66.0% vs 23.6%)
OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Higher HMMT 2025 score (35.0% vs 33.5%)
DeepSeekDeepSeek-V3.1
OpenAIGPT-4.1 mini
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Detailed Comparison

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

FAQ

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

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

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and GPT-4.1 mini 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 mini 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 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%.

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

DeepSeek-V3.1 is 1.5x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. GPT-4.1 mini costs $0.40/M input and $1.60/M output via openai.

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

DeepSeek-V3.1 supports 164K tokens and GPT-4.1 mini 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 mini?

Key differences include context window (164K vs 1.0M), input pricing ($0.27 vs $0.40/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 mini?

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

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