DeepSeek-V4.1-Flash vs GPT-5.6 Cyber
Comparing DeepSeek-V4.1-Flash and GPT-5.6 Cyber across benchmarks, pricing, and capabilities.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash and GPT-5.6 Cyber trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-V4.1-Flash is roughly 85.2x 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
- cost matters — it's about 85.2x cheaper per token
- 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-5.6 Cyber
- you want predictable pricing at $12.50/M input and $75.00/M output
At a glance
The differences that matter most.
Individual benchmarks
20 reported for DeepSeek-V4.1-Flash · 0 for GPT-5.6 Cyber
DeepSeek-V4.1-Flash and GPT-5.6 Cyberdon'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
For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 56.8x cheaper than GPT-5.6 Cyber ($12.50/1M tokens).
For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 113.6x cheaper than GPT-5.6 Cyber ($75.00/1M tokens).
In conclusion, GPT-5.6 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
DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to GPT-5.6 Cyber's 400,000 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while GPT-5.6 Cyber is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash and GPT-5.6 Cyber support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash
GPT-5.6 Cyber
License
Usage and distribution terms
DeepSeek-V4.1-Flash is licensed under MIT, while GPT-5.6 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-5.6 Cyber was released on 2026-08-10.
DeepSeek-V4.1-Flash is 1 month newer than GPT-5.6 Cyber.
Sep 10, 2026
4 days ago
1mo newerAug 10, 2026
1 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Cyber has a documented knowledge cutoff of 2026-02-16, while DeepSeek-V4.1-Flash's cutoff date is not specified.
We can confirm GPT-5.6 Cyber's training data extends to 2026-02-16, but cannot make a direct comparison without DeepSeek-V4.1-Flash's cutoff date.
—
Feb 2026
Provider Availability
DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. GPT-5.6 Cyber is available from OpenAI.
DeepSeek-V4.1-Flash
GPT-5.6 Cyber
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash and GPT-5.6 Cyber side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash vs GPT-5.6 Cyber.