DeepSeek-V4.1-Flash vs GPT-6 Cyber
DeepSeek-V4.1-Flash and GPT-6 Cyber are closely matched at 49.2 and 41.0 on the LLM Stats Score. DeepSeek-V4.1-Flash is 121.2x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash and GPT-6 Cyber are closely matched on the overall LLM Stats Score at 49.2 and 41.0.
In the 1 individual benchmarks reported for both models, GPT-6 Cyber wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4.1-Flash is roughly 121.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Cyber also accepts a larger context window (1,050,000 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
- cost matters — it's about 121.2x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-6 Cyber
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Individual benchmarks
20 reported for DeepSeek-V4.1-Flash · 1 for GPT-6 Cyber
DeepSeek-V4.1-Flash outperforms in 0 benchmarks, while GPT-6 Cyber is better at 1 benchmark (ExploitGym).
GPT-6 Cyber 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 90.9x cheaper than GPT-6 Cyber ($20.00/1M tokens).
For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 151.5x cheaper than GPT-6 Cyber ($100.00/1M tokens).
In conclusion, GPT-6 Cyber is more expensive than DeepSeek-V4.1-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Cyber accepts 1,050,000 input tokens compared to DeepSeek-V4.1-Flash's 1,040,000 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while GPT-6 Cyber is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash and GPT-6 Cyber support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash
GPT-6 Cyber
License
Usage and distribution terms
DeepSeek-V4.1-Flash is licensed under MIT, while GPT-6 Cyber 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-6 Cyber was released on 2026-11-05.
GPT-6 Cyber is 2 months newer than DeepSeek-V4.1-Flash.
Sep 10, 2026
2 months ago
Nov 5, 2026
4 days ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, Novita. GPT-6 Cyber is available from OpenAI.
DeepSeek-V4.1-Flash
GPT-6 Cyber
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash and GPT-6 Cyber side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash vs GPT-6 Cyber.