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DeepSeek-V4.1-Flash-1017 vs GPT-4o mini

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 3.3. GPT-4o mini is 2.0x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 3.3, ranking #15 overall.

On price, GPT-4o mini is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose GPT-4o mini

  • cost matters — it's about 2.0x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
GPT-4o mini
OpenAI
Core performance indexes
LLM Stats Score
51.0
#15
3.3
#332
Reasoning
48.6
#18
3.7
#321
Coding
39.1
#15
-0.8
#267
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.15 / M
Output price
$1.20 / M
$0.60 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash-1017
GPT-4o mini
Math
31.8#67
11.4#253
Vision
32.2#26
-0.4#204
Multimodal
35.0#14
2.4#164
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 9 for GPT-4o mini

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and GPT-4o minidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 2.0x more expensive than GPT-4o mini ($0.15/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 2.0x more expensive than GPT-4o mini ($0.60/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than GPT-4o mini.*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to GPT-4o mini's 128,000 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while GPT-4o mini is limited to 16,384 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and GPT-4o mini support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

GPT-4o mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

MIT

Open weights

GPT-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while GPT-4o mini was released on 2024-07-18.

DeepSeek-V4.1-Flash-1017 is 27 months newer than GPT-4o mini.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

0 days ago

2.2yr newer
GPT-4o mini

Jul 18, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V4.1-Flash-1017'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-V4.1-Flash-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

GPT-4o mini

Oct 2023

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. GPT-4o mini is available from Azure.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

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?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and GPT-4o mini side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
GPT-4o mini
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs GPT-4o mini.

Which is better, DeepSeek-V4.1-Flash-1017 or GPT-4o mini?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 3.3. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and GPT-4o mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to GPT-4o mini in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.

Is DeepSeek-V4.1-Flash-1017 cheaper than GPT-4o mini?

GPT-4o mini is 2.0x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. GPT-4o mini costs $0.15/M input and $0.60/M output via azure.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and GPT-4o mini?

DeepSeek-V4.1-Flash-1017 supports 1.0M 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-V4.1-Flash-1017 and GPT-4o mini?

Key differences include LLM Stats Score (51.0 vs 3.3), context window (1.0M vs 128K), input pricing ($0.30 vs $0.15/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and GPT-4o mini?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and GPT-4o mini is developed by OpenAI.

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