Model Comparison
DeepSeek-V4-Flash-0731 vs GPT-5Which is better in 2026?
Comparing DeepSeek-V4-Flash-0731 and GPT-5 across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V4-Flash-0731 vs GPT-5 — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and GPT-5 (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.
On price, DeepSeek-V4-Flash-0731 is roughly 30.6x 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…
- cost matters — it's about 30.6x 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 if…
- you want predictable pricing at $1.25/M input and $10.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 and GPT-5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0731 ($0.09/1M tokens) is 13.9x cheaper than GPT-5 ($1.25/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 55.6x cheaper than GPT-5 ($10.00/1M tokens).
In conclusion, GPT-5 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's 400,000 tokens. GPT-5 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 supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
GPT-5
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while GPT-5 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 was released on 2025-08-07.
DeepSeek-V4-Flash-0731 is 12 months newer than GPT-5.
Jul 31, 2026
3 days ago
11mo newerAug 7, 2025
12 months ago
Knowledge Cutoff
When training data ends
GPT-5 has a documented knowledge cutoff of 2024-09-30, while DeepSeek-V4-Flash-0731's cutoff date is not specified.
We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.
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Sep 2024
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita. GPT-5 is available from OpenAI.
DeepSeek-V4-Flash-0731
GPT-5
Outputs Comparison
Key Takeaways
GPT-5
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and GPT-5 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.