Model Comparison

DeepSeek-V3.1 vs GPT-4o mini

DeepSeek-V3.1 significantly outperforms across most benchmarks. GPT-4o mini is 1.7x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.1 outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while GPT-4o mini is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 1.8x more expensive than GPT-4o mini ($0.15/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 1.7x more expensive than GPT-4o mini ($0.60/1M tokens).

In conclusion, DeepSeek-V3.1 is more expensive than GPT-4o mini.*

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

Lowest available price from all providers
Sat May 09 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to GPT-4o mini's 128,000 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while GPT-4o mini is limited to 16,384 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas DeepSeek-V3.1 does not.

GPT-4o 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-4o mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while GPT-4o 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-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while GPT-4o mini was released on 2024-07-18.

DeepSeek-V3.1 is 6 months newer than GPT-4o mini.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

5mo newer
GPT-4o mini

Jul 18, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V3.1's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek-V3.1's cutoff date.

DeepSeek-V3.1

—

GPT-4o mini

Oct 2023

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. GPT-4o mini is available from Azure.

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-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Has open weights
Higher GPQA score (74.9% vs 40.2%)
Higher SWE-Bench Verified score (66.0% vs 8.7%)
OpenAI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
OpenAI
GPT-4o mini

FAQ

Common questions about DeepSeek-V3.1 vs GPT-4o mini.

Which is better, DeepSeek-V3.1 or GPT-4o mini?

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and GPT-4o 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-4o 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-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.

Is DeepSeek-V3.1 cheaper than GPT-4o mini?

GPT-4o mini is 1.8x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. GPT-4o mini costs $0.15/M input and $0.60/M output via azure.

What are the context window sizes for DeepSeek-V3.1 and GPT-4o mini?

DeepSeek-V3.1 supports 164K tokens and GPT-4o mini supports 128K 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-4o mini?

Key differences include context window (164K vs 128K), input pricing ($0.27 vs $0.15/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-4o mini?

DeepSeek-V3.1 is developed by DeepSeek and GPT-4o mini is developed by OpenAI.