If cost is your top constraint, Qwen3.5 Flash is hard to beat: $0.063 per 1M input tokens. Here's how it compares and when to use it.
| Model | Input | Output |
|---|---|---|
| qwen3.5-flash | $0.063 | $0.336 |
| doubao-seed-2.0-lite | $0.075 | $0.45 |
| hy3-preview (Hunyuan) | $0.127 | $0.423 |
| deepseek-v4-flash | $0.168 | $0.336 |
| qwen3.5-plus | $0.234 | $1.404 |
At $0.063/1M input, Qwen3.5 Flash is one of the lowest-cost capable models available anywhere.
from openai import OpenAI
client = OpenAI(
api_key="nvai-your-key",
base_url="https://aiapi-pro.com/v1"
)
resp = client.chat.completions.create(
model="qwen3.5-flash",
messages=[{"role": "user", "content": "Hello!"}]
)
print(resp.choices[0].message.content)
Ship at $0.063/1M input with Qwen3.5 Flash — plus $2 free credit to start.
Qwen3.5 Flash at $0.063 per 1M input tokens ($0.336 output) is among the cheapest capable LLM APIs in 2026. Doubao-Seed-2.0-Lite ($0.075) and Hunyuan hy3-preview ($0.127) are close alternatives — all available on NovAI.
For high-volume tasks like classification, extraction, summarization, and routing, yes. For complex multi-step reasoning, step up to qwen3.7-max or DeepSeek V4-Pro.
Register at NovAI for $2 free credit, then call model qwen3.5-flash through the OpenAI-compatible endpoint at https://aiapi-pro.com/v1.