Autoscaling
Capacity follows the queue, not a forecast. Spikes absorb without a ticket.
Autoscaling, scale to zero, and per-token pricing - no GPUs to reserve and no capacity to plan.
$ pip install openaifrom openai import OpenAI
client = OpenAI(
base_url = "https://api.abhigya.ai/v1",
api_key = "<ABHIGYA_API_KEY>",
)
stream = client.chat.completions.create(
model = "qwen/qwen2.5-7b-instruct",
messages = [{"role": "user",
"content": "Explain serverless inference."}],
stream = True,
)Capacity follows the queue, not a forecast. Spikes absorb without a ticket.
An idle endpoint costs nothing.
Token streaming, tool calling, and structured output on one endpoint.
| Model | Input /M | Output /M | Cached /M |
|---|---|---|---|
DeepSeek V4.1 Flashdeepseek/deepseek-v4.1-flash · 1M context | ₹20.00 | ₹60.00 | ₹0.60 |
Kimi K3moonshot/kimi-k3 · 1M context | ₹285.00 | ₹1,425.00 | ₹28.50 |
GLM 5.3 Flashzai/glm-5.3-flash · 1M context | ₹15.00 | ₹50.00 | ₹3.00 |
GLM 5.3zai/glm-5.3 · 1M context | ₹90.00 | ₹400.00 | ₹20.00 |
Qwen 3.8 Flash-Nextqwen/qwen3.8-flash-next · 256K context | ₹15.00 | ₹47.00 | ₹1.60 |
Qwen 3.8 27Bqwen/qwen3.8-27b · 256K context | ₹20.00 | ₹250.00 | ₹5.00 |
Qwen2.5 7B Instructqwen/qwen2.5-7b-instruct · 128K context | ₹10.00 | ₹20.00 | – |
Gemma 4 31Bgoogle/gemma-4-31b-it · 256K context | ₹20.00 | ₹40.00 | – |
Gemma 4 26B A4Bgoogle/gemma-4-26b-a4b-it · 256K context | ₹7.00 | ₹34.00 | – |