ZAYA1-8B
BenchLM is tracking ZAYA1-8B, 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.
ZAYA1-8B is a open weight model with a 131K 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.
ZAYA1-8B sits inside the ZAYA1 family alongside ZAYA1-74B-Preview. This profile currently has 11 of 225 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 Instruction Following (#85). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 2 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
#85Benchmark 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 ZAYA1-8B stacks up against similar models
Frequently Asked Questions
How does ZAYA1-8B perform overall in AI benchmarks?
ZAYA1-8B has 11 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is ZAYA1-8B good for knowledge and understanding?
ZAYA1-8B has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is ZAYA1-8B good for coding and programming?
ZAYA1-8B has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is ZAYA1-8B good for mathematics?
ZAYA1-8B has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is ZAYA1-8B good for agentic tool use and computer tasks?
ZAYA1-8B has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is ZAYA1-8B good for instruction following?
ZAYA1-8B ranks #85 out of 119 models in instruction following benchmarks with an average score of 44.2. There are stronger options in this category.
Is ZAYA1-8B open source?
Yes, ZAYA1-8B is an open weight model created by Zyphra, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to ZAYA1-8B?
ZAYA1-8B belongs to the ZAYA1 family. Related variants on BenchLM include ZAYA1-74B-Preview.
Does ZAYA1-8B have full benchmark coverage on BenchLM?
Not yet. ZAYA1-8B currently has 11 published benchmark scores out of the 225 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 ZAYA1-8B?
ZAYA1-8B has a context window of 131K, which determines how much text it can process in a single interaction.
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