DeepSeek V4 Pro
According to BenchLM.ai, DeepSeek V4 Pro ranks #33 out of 118 models on the provisional leaderboard with an overall score of 71/100. It also ranks #22 out of 23 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
DeepSeek V4 Pro is a open weight model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
DeepSeek V4 Pro sits inside the DeepSeek V4 family alongside DeepSeek V4 Pro (Max), DeepSeek V4 Pro (High), DeepSeek V4 Flash (Max), DeepSeek V4 Flash (High), DeepSeek V4 Flash, DeepSeek V4 Pro Base, DeepSeek V4 Flash Base. This profile currently has 20 of 178 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Coding (#37), while its weakest is Knowledge (#58). This performance profile makes it particularly well-suited for software development and code generation tasks.
Ranking Distribution
Category rank across 3 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
#37Reasoning
Knowledge
#58Math
Multilingual
Multimodal
Inst. Following
Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
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Frequently Asked Questions
How does DeepSeek V4 Pro perform overall in AI benchmarks?
DeepSeek V4 Pro currently ranks #33 out of 118 models on BenchLM's provisional leaderboard with an overall score of 71. It also ranks #22 out of 23 on the verified leaderboard. It is created by DeepSeek and features a 1M context window.
Is DeepSeek V4 Pro good for knowledge and understanding?
DeepSeek V4 Pro ranks #58 out of 118 models in knowledge and understanding benchmarks with an average score of 52.3. There are stronger options in this category.
Is DeepSeek V4 Pro good for coding and programming?
DeepSeek V4 Pro ranks #37 out of 118 models in coding and programming benchmarks with an average score of 67. There are stronger options in this category.
Is DeepSeek V4 Pro good for mathematics?
DeepSeek V4 Pro has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek V4 Pro good for reasoning and logic?
DeepSeek V4 Pro has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek V4 Pro good for agentic tool use and computer tasks?
DeepSeek V4 Pro has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek V4 Pro open source?
Yes, DeepSeek V4 Pro is an open weight model created by DeepSeek, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to DeepSeek V4 Pro?
DeepSeek V4 Pro belongs to the DeepSeek V4 family. Related variants on BenchLM include DeepSeek V4 Pro (Max), DeepSeek V4 Pro (High), DeepSeek V4 Flash (Max), DeepSeek V4 Flash (High), DeepSeek V4 Flash, DeepSeek V4 Pro Base, DeepSeek V4 Flash Base.
Does DeepSeek V4 Pro have full benchmark coverage on BenchLM?
Not yet. DeepSeek V4 Pro currently has 20 published benchmark scores out of the 178 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of DeepSeek V4 Pro?
DeepSeek V4 Pro has a context window of 1M, which determines how much text it can process in a single interaction.
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