Vikasit 3 vs DeepSeek-V4-Flash
Vikasit 3 is our balanced flagship for everyday production traffic, while DeepSeek-V4-Flash is a rock-bottom-priced speed model. DeepSeek wins on raw price-per-token; Vikasit 3 wins on instruction-following consistency and the fact that it runs on the same OpenAI-compatible Vikasit API as the rest of your stack.
Pricing comparison
| Metric | Vikasit 3 | DeepSeek-V4-Flash |
|---|---|---|
| Input ($ / 1M tokens) | $0.21 | $0.10 |
| Output ($ / 1M tokens) | $0.30 | $0.20 |
| Blended (3:1 in:out) | $0.23 | $0.13 |
| 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
- You want one reliable default model for general + light-coding traffic
- You value consistent instruction-following over the absolute lowest price
- You are already building on the Vikasit API and want one billing relationship
Choose DeepSeek-V4-Flash when
- Token cost is the single most important factor
- Your workload is high-volume, latency-sensitive, and tolerant of variance
- You are doing simple classification or extraction at massive scale
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 DeepSeek-V4-Flash?
Per 1M tokens, Vikasit 3 costs $0.21 input / $0.30 output, while DeepSeek-V4-Flash costs $0.10 input / $0.20 output. On output tokens — which usually dominate generation cost — DeepSeek-V4-Flash 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 DeepSeek-V4-Flash?
Vikasit 3 is our balanced flagship for everyday production traffic, while DeepSeek-V4-Flash is a rock-bottom-priced speed model. DeepSeek wins on raw price-per-token; Vikasit 3 wins on instruction-following consistency and the fact that it runs on the same OpenAI-compatible Vikasit API as the rest of your stack.
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.