Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.
DeepSeek-R1-Distill-Qwen-32B is a model distilled from DeepSeek-R1 based on Qwen2.5. It outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Deepseek-R1-Distill-Qwen-32b
client.chat.completions.create(
model="deepseek/deepseek-r1-distill-qwen-32b",
messages=[{"role":"user","content":"hello"}],
)
# Qwen2.5-Coder-32b-Instruct
client.chat.completions.create(
model="qwen/qwen2.5-coder-32b-instruct",
messages=[{"role":"user","content":"hello"}],
)