DeepSeek-V4-Flash-Max vs GPT-5.2
DeepSeek-V4-Flash-Max and GPT-5.2 are closely matched at 39.1 and 41.4 on the LLM Stats Score. DeepSeek-V4-Flash-Max is 42.8x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Max and GPT-5.2 are closely matched on the overall LLM Stats Score at 39.1 and 41.4.
In the 6 individual benchmarks reported for both models, DeepSeek-V4-Flash-Max wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-Max is roughly 42.8x 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Max
- you value its reported benchmark strengths — it wins 4 of 6 exact shared results
- cost matters — it's about 42.8x 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-5.2
- you want predictable pricing at $1.75/M input and $14.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for DeepSeek-V4-Flash-Max · 24 for GPT-5.2
DeepSeek-V4-Flash-Max outperforms in 4 benchmarks (BrowseComp, Humanity's Last Exam, MCP Atlas, Toolathlon), while GPT-5.2 is better at 2 benchmarks (GPQA, SWE-Bench Verified).
DeepSeek-V4-Flash-Max shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Max ($0.09/1M tokens) is 19.4x cheaper than GPT-5.2 ($1.75/1M tokens).
For output processing, DeepSeek-V4-Flash-Max ($0.18/1M tokens) is 77.8x cheaper than GPT-5.2 ($14.00/1M tokens).
In conclusion, GPT-5.2 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-5.2's 400,000 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 1,048,576 tokens, while GPT-5.2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.2 supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.
GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Max
GPT-5.2
License
Usage and distribution terms
DeepSeek-V4-Flash-Max is licensed under MIT, while GPT-5.2 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-5.2 was released on 2025-12-11.
DeepSeek-V4-Flash-Max is 4 months newer than GPT-5.2.
Apr 23, 2026
4 months ago
4mo newerDec 11, 2025
9 months ago
Knowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while DeepSeek-V4-Flash-Max's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without DeepSeek-V4-Flash-Max's cutoff date.
—
Aug 2025
Provider Availability
DeepSeek-V4-Flash-Max is available from DeepInfra, DeepSeek. GPT-5.2 is available from OpenAI.
DeepSeek-V4-Flash-Max
GPT-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Max and GPT-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Max vs GPT-5.2.