Qwen3-32B is the most powerful dense model in the series, featuring 32 billion parameters, a 64-layer architecture, and 64 attention heads, with support for a context window of 128K tokens. This model represents the pinnacle of dense architecture within the Qwen3 lineup, delivering performance comparable to leading proprietary solutions across most tasks. Developers emphasize that thanks to architectural innovations and training on 36 trillion tokens of high-quality data, Qwen3-32B achieves quality on par with Qwen2.5-72B, but with twice as few parameters.
The model demonstrates outstanding results across all benchmarks, particularly excelling in programming, mathematical problem-solving, and knowledge-intensive domains in science and engineering. Qwen3-32B is capable of handling tasks at the level of senior-level experts and delivers quality suitable for mission-critical commercial applications. Full support for all 119 languages at the highest quality makes this model a universal solution for applications requiring international reach.
This model is designed for flagship products from major technology companies, national research initiatives, mission-critical AI systems, and any application where quality is the top priority. Qwen3-32B is ideal for building premium-tier AI assistants, advanced analytical systems, professional-grade development tools, and any use cases demanding the highest level of natural language processing quality.
| Model Name | Context | Type | GPU | TPS | Status | Link |
|---|---|---|---|---|---|---|
| Qwen/QwQ-32B-AWQ | 40,960.0 | Public | 2×RTX4090 | 40.00 | AVAILABLE | try |
curl https://chat.immers.cloud/v1/endpoints/Qwen-3-32b/generate/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer USER_API_KEY" \
-d '{"model": "Qwen-3-32b", "messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Say this is a test"}
], "temperature": 0, "max_tokens": 150}'
$response = Invoke-WebRequest https://chat.immers.cloud/v1/endpoints/Qwen-3-32b/generate/chat/completions `
-Method POST `
-Headers @{
"Authorization" = "Bearer USER_API_KEY"
"Content-Type" = "application/json"
} `
-Body (@{
model = "Qwen-3-32b"
messages = @(
@{ role = "system"; content = "You are a helpful assistant." },
@{ role = "user"; content = "Say this is a test" }
)
} | ConvertTo-Json)
($response.Content | ConvertFrom-Json).choices[0].message.content
#!pip install OpenAI --upgrade
from openai import OpenAI
client = OpenAI(
api_key="USER_API_KEY",
base_url="https://chat.immers.cloud/v1/endpoints/Qwen-3-32b/generate/",
)
chat_response = client.chat.completions.create(
model="Qwen-3-32b",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Say this is a test"},
]
)
print(chat_response.choices[0].message.content)
Rent your own physically dedicated instance with hourly or long-term monthly billing.
We recommend deploying private instances in the following scenarios:
| Name | vCPU | RAM, MB | Disk, GB | GPU | |||
|---|---|---|---|---|---|---|---|
| 16 | 98304 | 160 | 3 | $1.34 | Launch | ||
| 16 | 65536 | 160 | 4 | $1.48 | Launch | ||
| 16 | 98304 | 160 | 3 | $2.45 | Launch | ||
| 16 | 65536 | 160 | 1 | $2.58 | Launch | ||
| 16 | 65536 | 160 | 2 | $2.93 | Launch | ||
| 16 | 98304 | 160 | 3 | $3.23 | Launch | ||
| 16 | 65536 | 160 | 1 | $5.11 | Launch | ||
| Name | vCPU | RAM, MB | Disk, GB | GPU | |||
|---|---|---|---|---|---|---|---|
| 16 | 98304 | 160 | 3 | $1.34 | Launch | ||
| 16 | 98304 | 160 | 3 | $2.45 | Launch | ||
| 16 | 131072 | 160 | 1 | $2.71 | Launch | ||
| 16 | 98304 | 160 | 3 | $3.23 | Launch | ||
| 16 | 98304 | 160 | 3 | $4.34 | Launch | ||
| 16 | 131072 | 160 | 1 | $5.23 | Launch | ||
Contact our dedicated neural networks support team at nn@immers.cloud or send your request to the sales department at sale@immers.cloud.