Vikasit 3 vs Mistral-Small-3.2
Mistral-Small-3.2 is a compact, very cheap European model; Vikasit 3 is a larger generalist. Mistral-Small is hard to beat on price for simple tasks. Vikasit 3 steps up for anything needing more reasoning headroom or longer, structured outputs.
Pricing comparison
| Metric | Vikasit 3 | Mistral-Small-3.2 |
|---|---|---|
| Input ($ / 1M tokens) | $0.21 | $0.07 |
| Output ($ / 1M tokens) | $0.30 | $0.20 |
| Blended (3:1 in:out) | $0.23 | $0.10 |
| 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 is available through the Vikasit Inference API.
Choose Vikasit 3 when
- Your prompts need more reasoning depth than a small model offers
- You want consistent quality across a varied request mix
- One model for most of your traffic simplifies ops
Choose Mistral-Small-3.2 when
- Tasks are simple and you want the lowest price per call
- Latency and throughput beat peak quality
- You prefer a compact model for cost-sensitive batch jobs
Quick start with Vikasit 3
Call Vikasit 3 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",
messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)FAQ
Is Vikasit 3 cheaper than Mistral-Small-3.2?
Per 1M tokens, Vikasit 3 costs $0.21 input / $0.30 output, while Mistral-Small-3.2 costs $0.07 input / $0.20 output. On output tokens — which usually dominate generation cost — Mistral-Small-3.2 is the cheaper option.
Can I call Vikasit 3 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 or Mistral-Small-3.2?
Mistral-Small-3.2 is a compact, very cheap European model; Vikasit 3 is a larger generalist. Mistral-Small is hard to beat on price for simple tasks. Vikasit 3 steps up for anything needing more reasoning headroom or longer, structured outputs.
Start with Vikasit 3
Get an API key and 2M free tokens a day on Vikasit Nova. Pay-as-you-go, no minimums, OpenAI-compatible.