DeepSeek V4 Flash Base
BenchLM is tracking DeepSeek V4 Flash Base, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
DeepSeek V4 Flash Base 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 Flash Base sits inside the DeepSeek V4 family alongside DeepSeek V4 Pro (Max), DeepSeek V4 Pro (High), DeepSeek V4 Flash (Max), DeepSeek V4 Pro, DeepSeek V4 Flash (High), DeepSeek V4 Flash, DeepSeek V4 Pro Base. This profile currently has 24 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 Multilingual (#29), while its weakest is Knowledge (#79). This performance profile makes it a well-rounded choice across a range of 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
Reasoning
Knowledge
#79Math
Multilingual
#29Multimodal
Inst. Following
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.
Compare This Model
See how DeepSeek V4 Flash Base stacks up against similar models
Frequently Asked Questions
How does DeepSeek V4 Flash Base perform overall in AI benchmarks?
DeepSeek V4 Flash Base has 24 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is DeepSeek V4 Flash Base good for knowledge and understanding?
DeepSeek V4 Flash Base ranks #79 out of 118 models in knowledge and understanding benchmarks with an average score of 36.4. There are stronger options in this category.
Is DeepSeek V4 Flash Base good for coding and programming?
DeepSeek V4 Flash Base has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek V4 Flash Base good for mathematics?
DeepSeek V4 Flash Base has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek V4 Flash Base good for reasoning and logic?
DeepSeek V4 Flash Base has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek V4 Flash Base good for multilingual tasks?
DeepSeek V4 Flash Base ranks #29 out of 118 models in multilingual tasks benchmarks with an average score of 71.4. There are stronger options in this category.
Is DeepSeek V4 Flash Base open source?
Yes, DeepSeek V4 Flash Base 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 Flash Base?
DeepSeek V4 Flash Base 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 Pro, DeepSeek V4 Flash (High), DeepSeek V4 Flash, DeepSeek V4 Pro Base.
Does DeepSeek V4 Flash Base have full benchmark coverage on BenchLM?
Not yet. DeepSeek V4 Flash Base currently has 24 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 Flash Base?
DeepSeek V4 Flash Base has a context window of 1M, which determines how much text it can process in a single interaction.
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