DeepSeek-V4.1-Flash vs GPT-4o mini
DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 3.6. GPT-4o mini is 1.3x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 3.6, ranking #12 overall.
In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4o mini is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 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
- overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,040,000 token context window
- you want the most recent training data — it shipped Sep 2026
- you need open weights you can self-host or fine-tune
Choose GPT-4o mini
- cost matters — it's about 1.3x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for DeepSeek-V4.1-Flash · 9 for GPT-4o mini
DeepSeek-V4.1-Flash outperforms in 1 benchmarks (GPQA), while GPT-4o mini is better at 0 benchmarks.
DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 1.5x more expensive than GPT-4o mini ($0.15/1M tokens).
For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 1.1x more expensive than GPT-4o mini ($0.60/1M tokens).
In conclusion, DeepSeek-V4.1-Flash is more expensive than GPT-4o mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to GPT-4o mini's 128,000 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash 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
GPT-4o mini
License
Usage and distribution terms
DeepSeek-V4.1-Flash 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.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4.1-Flash was released on 2026-09-10, while GPT-4o mini was released on 2024-07-18.
DeepSeek-V4.1-Flash is 26 months newer than GPT-4o mini.
Sep 10, 2026
1 days ago
2.1yr newerJul 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'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's cutoff date.
—
Oct 2023
Provider Availability
DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. GPT-4o mini is available from Azure.
DeepSeek-V4.1-Flash
GPT-4o mini
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash and GPT-4o mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash vs GPT-4o mini.