DeepSeek-V4-Flash-Max vs GPT-5.4
GPT-5.4 shows notably better performance in the majority of benchmarks. DeepSeek-V4-Flash-Max is 32.1x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Max outperforms in 2 benchmarks (Humanity's Last Exam, MCP Atlas), while GPT-5.4 is better at 5 benchmarks (BrowseComp, GPQA, SWE-Bench Pro, Terminal-Bench 2.0, Toolathlon). GPT-5.4 shows notably better performance in the majority of benchmarks.
On price, DeepSeek-V4-Flash-Max is roughly 32.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Max 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 benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Max
- cost matters — it's about 32.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Choose GPT-5.4
- you want the strongest raw capability — it leads on 5 of 7 shared benchmarks
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Max outperforms in 2 benchmarks (Humanity's Last Exam, MCP Atlas), while GPT-5.4 is better at 5 benchmarks (BrowseComp, GPQA, SWE-Bench Pro, Terminal-Bench 2.0, Toolathlon).
GPT-5.4 shows notably better performance in the majority of benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Max ($0.14/1M tokens) is 17.9x cheaper than GPT-5.4 ($2.50/1M tokens).
For output processing, DeepSeek-V4-Flash-Max ($0.28/1M tokens) is 53.6x cheaper than GPT-5.4 ($15.00/1M tokens).
In conclusion, GPT-5.4 is more expensive than DeepSeek-V4-Flash-Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Max accepts 1,048,576 input tokens compared to GPT-5.4's 1,000,000 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 393,216 tokens, while GPT-5.4 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.4 supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.
GPT-5.4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Max
GPT-5.4
License
Usage and distribution terms
DeepSeek-V4-Flash-Max is licensed under MIT, while GPT-5.4 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-Flash-Max was released on 2026-04-23, while GPT-5.4 was released on 2026-03-05.
DeepSeek-V4-Flash-Max is 2 months newer than GPT-5.4.
Apr 23, 2026
4 months ago
1mo newerMar 5, 2026
5 months ago
Knowledge 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-Flash-Max is available from DeepSeek. GPT-5.4 is available from OpenAI.
DeepSeek-V4-Flash-Max
GPT-5.4
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Max and GPT-5.4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Max vs GPT-5.4.