BenchLM is tracking DeepSeek R1 Distill Qwen 32B by DeepSeek. Some benchmark data is visible, but not enough non-generated coverage is available for a leaderboard rank yet.
BenchLM is tracking DeepSeek R1 Distill Qwen 32B, but this profile is currently excluded from the public leaderboard because it still lacks enough trustworthy benchmark coverage to rank safely. Generated rows may still appear below for context, but they are not enough on their own to make this model ranking-eligible.
DeepSeek R1 Distill Qwen 32B is a open weight model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 1 of 61 tracked benchmarks. BenchLM uses discounted fallback estimates where necessary so missing categories do not collapse the overall score, but public sourced rows still carry more weight than inferred ones.
Creator
DeepSeek
Source Type
Open WeightReasoning
ReasoningContext Window
128K
Overall Score
Unranked
BenchLM is still missing enough trustworthy benchmark coverage to rank this model across the public leaderboard. Trusted benchmark rows remain visible below for reference.
DeepSeek R1 Distill Qwen 32B has 1 sourced benchmark scores on BenchLM, but it does not yet have enough trustworthy non-generated coverage to receive a global overall rank.
DeepSeek R1 Distill Qwen 32B has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Yes, DeepSeek R1 Distill Qwen 32B is an open weight model created by DeepSeek, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Not yet. DeepSeek R1 Distill Qwen 32B currently has 1 sourced benchmark scores out of the 61 benchmarks BenchLM tracks. BenchLM may use discounted fallback values for missing categories, but trustworthy public rows still carry more weight than inferred ones.
DeepSeek R1 Distill Qwen 32B has a context window of 128K, which determines how much text it can process in a single interaction.
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