Model Comparison
DeepSeek-V4-Flash-0731 vs GPT-5.2Which is better in 2026?
DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks. DeepSeek-V4-Flash-0731 is 42.8x cheaper per token.
Verdict: DeepSeek-V4-Flash-0731 vs GPT-5.2 — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and GPT-5.2 (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V4-Flash-0731 outperforms in 1 benchmarks (Toolathlon), while GPT-5.2 is better at 0 benchmarks. DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Flash-0731 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-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V4-Flash-0731 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- 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 Jul 2026
- you need open weights you can self-host or fine-tune
Choose GPT-5.2 if…
- you want predictable pricing at $1.75/M input and $14.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 outperforms in 1 benchmarks (Toolathlon), while GPT-5.2 is better at 0 benchmarks.
DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0731 ($0.09/1M tokens) is 19.4x cheaper than GPT-5.2 ($1.75/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($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-0731.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to GPT-5.2's 400,000 tokens. GPT-5.2 can generate longer responses up to 128,000 tokens, while DeepSeek-V4-Flash-0731 is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.2 supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 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-0731
GPT-5.2
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 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-0731 was released on 2026-07-31, while GPT-5.2 was released on 2025-12-11.
DeepSeek-V4-Flash-0731 is 8 months newer than GPT-5.2.
Jul 31, 2026
3 days ago
7mo newerDec 11, 2025
7 months ago
Knowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while DeepSeek-V4-Flash-0731'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-0731's cutoff date.
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Aug 2025
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita. GPT-5.2 is available from OpenAI.
DeepSeek-V4-Flash-0731
GPT-5.2
Outputs Comparison
Key Takeaways
GPT-5.2
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and GPT-5.2 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-0731 vs GPT-5.2.