Model Comparison
DeepSeek-V4-Flash-0731 vs o3Which is better in 2026?
Comparing DeepSeek-V4-Flash-0731 and o3 across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V4-Flash-0731 vs o3 — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and o3 (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 31.1x 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 31.1x 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 Jul 2026
- you need open weights you can self-host or fine-tune
Choose o3 if…
- you want predictable pricing at $2.00/M input and $8.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 and o3don'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 22.2x cheaper than o3 ($2.00/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 44.4x cheaper than o3 ($8.00/1M tokens).
In conclusion, o3 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 o3's 200,000 tokens. o3 can generate longer responses up to 100,000 tokens, while DeepSeek-V4-Flash-0731 is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
o3 supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
o3
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while o3 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 o3 was released on 2025-04-16.
DeepSeek-V4-Flash-0731 is 16 months newer than o3.
Jul 31, 2026
4 days ago
1.3yr newerApr 16, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek-V4-Flash-0731's cutoff date is not specified.
We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.
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May 2024
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita. o3 is available from OpenAI.
DeepSeek-V4-Flash-0731
o3
Outputs Comparison
Key Takeaways
o3
View detailsOpenAI
DeepSeek-V4-Flash-0731o3Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and o3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-0731 vs o3.