Model Comparison
DeepSeek-V4-Flash-Max vs DeepSeek-V4-Pro-MaxWhich is better in 2026?
DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks. DeepSeek-V4-Flash-Max is 16.0x cheaper per token.
Verdict: DeepSeek-V4-Flash-Max vs DeepSeek-V4-Pro-Max — which is better?
DeepSeek-V4-Flash-Max (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-Max outperforms in 0 benchmarks, while DeepSeek-V4-Pro-Max is better at 19 benchmarks (BrowseComp, CorpusQA 1M, CSimpleQA, GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, LiveCodeBench, MathArena Apex, MCP Atlas, MMLU-Pro, MRCR 1M, SimpleQA, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0, Toolathlon). DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Flash-Max is roughly 16.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose DeepSeek-V4-Flash-Max if…
- cost matters — it's about 16.0x cheaper per token
Choose DeepSeek-V4-Pro-Max if…
- you want the strongest raw capability — it leads on 20 of 20 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Max outperforms in 0 benchmarks, while DeepSeek-V4-Pro-Max is better at 19 benchmarks (BrowseComp, CorpusQA 1M, CSimpleQA, GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, LiveCodeBench, MathArena Apex, MCP Atlas, MMLU-Pro, MRCR 1M, SimpleQA, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0, Toolathlon).
DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Max ($0.10/1M tokens) is 16.0x cheaper than DeepSeek-V4-Pro-Max ($1.60/1M tokens).
For output processing, DeepSeek-V4-Flash-Max ($0.20/1M tokens) is 16.0x cheaper than DeepSeek-V4-Pro-Max ($3.20/1M tokens).
In conclusion, DeepSeek-V4-Pro-Max is more expensive than DeepSeek-V4-Flash-Max.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-Max has 1316.0B more parameters than DeepSeek-V4-Flash-Max, making it 463.4% 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-Max 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
Both models were released on 2026-04-23.
They likely represent similar generations of model development.
Apr 23, 2026
2 months ago
Apr 23, 2026
2 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-Max is available from DeepInfra, DeepSeek, Fireworks, Novita. DeepSeek-V4-Pro-Max is available from Novita, DeepInfra, DeepSeek, Fireworks, Together.
DeepSeek-V4-Flash-Max
DeepSeek-V4-Pro-Max
Outputs Comparison
Key Takeaways
DeepSeek-V4-Pro-Max
View detailsDeepSeek
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Max 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-Max vs DeepSeek-V4-Pro-Max.