Model Comparison
DeepSeek-V4-Flash-0731 vs DeepSeek-V4-Pro-MaxWhich is better in 2026?
DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks. DeepSeek-V4-Flash-0731 is 17.8x cheaper per token.
Verdict: DeepSeek-V4-Flash-0731 vs DeepSeek-V4-Pro-Max — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and DeepSeek-V4-Pro-Max (by DeepSeek) 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 DeepSeek-V4-Pro-Max is better at 0 benchmarks. DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Flash-0731 is roughly 17.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 17.8x cheaper per token
- you want the most recent training data — it shipped Jul 2026
Choose DeepSeek-V4-Pro-Max if…
- you want predictable pricing at $1.60/M input and $3.20/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 outperforms in 1 benchmarks (Toolathlon), while DeepSeek-V4-Pro-Max 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 17.8x cheaper than DeepSeek-V4-Pro-Max ($1.60/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 17.8x cheaper than DeepSeek-V4-Pro-Max ($3.20/1M tokens).
In conclusion, DeepSeek-V4-Pro-Max is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-Max has 1296.0B more parameters than DeepSeek-V4-Flash-0731, making it 426.3% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Pro-Max can generate longer responses up to 131,072 tokens, while DeepSeek-V4-Flash-0731 is limited to 65,536 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0731 was released on 2026-07-31, while DeepSeek-V4-Pro-Max was released on 2026-04-23.
DeepSeek-V4-Flash-0731 is 3 months newer than DeepSeek-V4-Pro-Max.
Jul 31, 2026
4 days ago
3mo newerApr 23, 2026
3 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-0731 is available from DeepInfra, Fireworks, Novita. DeepSeek-V4-Pro-Max is available from Novita, DeepInfra, DeepSeek, Fireworks, Together.
DeepSeek-V4-Flash-0731
DeepSeek-V4-Pro-Max
Outputs Comparison
Key Takeaways
DeepSeek-V4-Pro-Max
View detailsDeepSeek
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and DeepSeek-V4-Pro-Max side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-0731 vs DeepSeek-V4-Pro-Max.