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qwen/qwen3-235b-a22b-fp8

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance. Significantly outperforming prior models like QwQ and Qwen2.5, Qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. The Qwen3-30B-A3B variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131K token contexts with YaRN, setting a new standard among open-source models.

Try qwen/qwen3-235b-a22b-fp8CompareDocs

Specifications

Context window128K tokens
Max output—
API typechat
AddedApr 28, 2025
Model IDnovita/qwen/qwen3-235b-a22b-fp8
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Novita AI models overview.

Pricing

Input / 1M
$0.20
Output / 1M
$0.80
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0280
1M input + 100K output$0.28
10M input + 1M output$2.80

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/qwen/qwen3-235b-a22b-fp8.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/qwen/qwen3-235b-a22b-fp8",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Novita AI models

GLM-5
203K ctx$1.00/1M
minimax/minimax-m2.7
200K ctx$0.30/1M
deepseek-v3.2
164K ctx$0.27/1M
qwen/qwen3.5-397b-a17b
262K ctx$0.60/1M
zai-org/glm-4.5
131K ctx$0.60/1M
zai-org/glm-4.6
205K ctx$0.60/1M

Frequently asked questions

How much does qwen/qwen3-235b-a22b-fp8 cost?
qwen/qwen3-235b-a22b-fp8 is priced at $0.20 per million input tokens and $0.80 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of qwen/qwen3-235b-a22b-fp8?
qwen/qwen3-235b-a22b-fp8 has a context window of 128K tokens. That's roughly 171 words of input you can fit in a single prompt.
What can qwen/qwen3-235b-a22b-fp8 do?
qwen/qwen3-235b-a22b-fp8 is a text-generation model you can call through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen/qwen3-235b-a22b-fp8 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/qwen/qwen3-235b-a22b-fp8". The Quickstart above shows Python, JavaScript and cURL snippets.

Access qwen/qwen3-235b-a22b-fp8 through Requesty

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