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.
Price
| Input | $0.15/百万 tokens |
| Output | $0.8/百万 tokens |
Use the following code example to integrate our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.jiekou.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)Information
Provider
Quantification
fp8
Supported features
Context length
131072
Maximum output
16384
Function call
Support
Structured output
Support
Input Capabilities
text
Output Capabilities
text