BenchLM is tracking 1-bit Bonsai 4B by Prism ML. Some benchmark data is visible, but not enough non-generated coverage is available for a leaderboard rank yet.
BenchLM is tracking 1-bit Bonsai 4B, but this profile is currently excluded from the public leaderboard because it still lacks enough verified benchmark coverage to rank safely. Only verified public benchmark rows appear below.
1-bit Bonsai 4B is a open weight model with a 32K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
1-bit Bonsai 4B sits inside the 1-bit Bonsai family alongside 1-bit Bonsai 8B, 1-bit Bonsai 1.7B. This profile currently has 4 of 62 tracked benchmarks. BenchLM only exposes verified benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Instruction Following (#85). This performance profile makes it a well-rounded choice across a range of tasks.
Provider
Prism MLSource Type
Open WeightReasoning
Non-ReasoningContext Window
32K
Model Status
Current
Release Date
Mar 31, 2026Overall Score
Unranked
Pricing
$0.00 / $0.00
Input / output per 1M
Runtime
N/A
Latency unavailable
BenchLM is still missing enough verified benchmark coverage to rank this model across the public leaderboard. Only verified public benchmark rows are shown below.
1-bit Bonsai 4B has 4 verified benchmark scores on BenchLM, but it does not yet have enough coverage to receive a global overall rank.
1-bit Bonsai 4B has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
1-bit Bonsai 4B has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
1-bit Bonsai 4B has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
1-bit Bonsai 4B ranks #85 out of 97 models in instruction following benchmarks with an average score of 69.6. There are stronger options in this category.
Yes, 1-bit Bonsai 4B is an open weight model created by Prism ML, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
1-bit Bonsai 4B belongs to the 1-bit Bonsai family. Related variants on BenchLM include 1-bit Bonsai 8B, 1-bit Bonsai 1.7B.
Not yet. 1-bit Bonsai 4B currently has 4 verified benchmark scores out of the 62 benchmarks BenchLM tracks. BenchLM only exposes verified public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
1-bit Bonsai 4B has a context window of 32K, which determines how much text it can process in a single interaction.
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