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Zyphra Language

ZAYA1-8B

Efficient small language model for mathematical and coding problems.

About

ZAYA1-8B is an open-source small MoE model by Zyphra that pushes the frontier of intelligence density through its novel architecture and unique test-time compute inference. ZAYA1-8B excels at challenging mathematical and coding tasks that require deep reasoning expertise.

At under 1 billion active parameters, ZAYA1-8B performs strongly on reasoning, mathematics and coding benchmarks, matching or exceeding the performance of models many times its size such as Mistral-Small-4-119B, and remaining competitive with substantially larger first-generation frontier reasoning models such as DeepSeek-R1-0528, Gemini-2.5-Pro and Claude 4.5 Sonnet. With our novel Markovian-RSA test-time compute methodology, we achieve significant additional performance gains — exceeding GPT-5-High on HMMT'25 (89.6 vs 88.3) and closing in on frontier open-weight models such as DeepSeek-V3.2 on mathematics benchmarks.

Performance

ZAYA1-8B also performs competitively against recent SOTA OS models in the same weight class and against many substantially larger Western OS models across a wide range of evaluations such as mathematics (AIME and HMMT), coding (LCB), reasoning and knowledge retrieval (GPQA-Diamond) and instruction following (IFEval and IFBench).

ZAYA1-8B vs leading open-weights models on a variety of evals.

API usage

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("ZYPHRA_API_KEY"),
    base_url="https://api.zyphracloud.com/api/v1",
)

response = client.chat.completions.create(
    model="zyphra/ZAYA1-8B",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)