Vikasit 3 Flash vs Qwen3-235B-A22B
Qwen3-235B-A22B is a large MoE at a remarkably low price; Vikasit 3 Flash is a fast small-tier model. Qwen3-235B can be both cheaper and more capable on breadth, but Vikasit 3 Flash is optimized for low latency and predictable short outputs.
Pricing comparison
| Metric | Vikasit 3 Flash | Qwen3-235B-A22B |
|---|---|---|
| Input ($ / 1M tokens) | $0.30 | $0.09 |
| Output ($ / 1M tokens) | $0.96 | $0.10 |
| Blended (3:1 in:out) | $0.46 | $0.09 |
| OpenAI-compatible API | Yes | Yes |
Prices are per 1M tokens in USD. Blended cost assumes a 3:1 input-to-output token ratio, a common pattern for chat and generation workloads. Actual cost depends on your traffic. Vikasit 3 Flash is available through the Vikasit Inference API.
Choose Vikasit 3 Flash when
- Latency and snappy short responses matter most
- You want a fast tier tuned for chat-style turns
- Predictable behavior beats raw model size
Choose Qwen3-235B-A22B when
- You want maximum capability per dollar from a large model
- Longer, richer outputs are worth slightly more latency
- Breadth across many domains is valuable
Quick start with Vikasit 3 Flash
Call Vikasit 3 Flash through the OpenAI-compatible Vikasit Inference API at https://api.vikasit.ai/v1. Change two lines in your existing OpenAI code — the base URL and your key.
from openai import OpenAI
client = OpenAI(
base_url="https://api.vikasit.ai/v1",
api_key="sk-vikasit-...",
)
resp = client.chat.completions.create(
model="vikasit-3-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)FAQ
Is Vikasit 3 Flash cheaper than Qwen3-235B-A22B?
Per 1M tokens, Vikasit 3 Flash costs $0.30 input / $0.96 output, while Qwen3-235B-A22B costs $0.09 input / $0.10 output. On output tokens — which usually dominate generation cost — Qwen3-235B-A22B is the cheaper option.
Can I call Vikasit 3 Flash with the OpenAI SDK?
Yes. The Vikasit Inference API is OpenAI-compatible. Point any OpenAI SDK at https://api.vikasit.ai/v1 with your Vikasit API key and set the model id — chat completions, streaming, and tool calls all work.
Should I choose Vikasit 3 Flash or Qwen3-235B-A22B?
Qwen3-235B-A22B is a large MoE at a remarkably low price; Vikasit 3 Flash is a fast small-tier model. Qwen3-235B can be both cheaper and more capable on breadth, but Vikasit 3 Flash is optimized for low latency and predictable short outputs.
Start with Vikasit 3 Flash
Get an API key and 2M free tokens a day on Vikasit Nova. Pay-as-you-go, no minimums, OpenAI-compatible.