Qwen3 235B A22B Instruct 2507
qwen/qwen3-235b-a22b-instruct-2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" (<think> blocks).
Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.
Features
Serverless API
Docs
qwen/qwen3-235b-a22b-instruct-2507 is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.
On-demand Deployments
Docs
On-demand deployments allow you to use qwen/qwen3-235b-a22b-instruct-2507 on dedicated GPUs with high-performance serving stack with high reliability and no rate limits.
Available Serverless
Run queries immediately, pay only for usage
Input$0.09 / M Tokens
Output$0.58 / M Tokens
Use the following code examples to integrate with our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="qwen/qwen3-235b-a22b-instruct-2507",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=16384,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Info
Provider
Qwen
Quantization
fp8
Supported Functionality
Context Length
131072
Max Output
16384
Serverless
Supported
Function Calling
Supported
Structured Output
Supported
Input Capabilities
text
Output Capabilities
text
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