Agents and Inference.
Big models. Small bills.

GraphN runs open models behind one OpenAI-compatible API, with pre-built, customizable AI blueprints on top.

GraphN

import osfrom openai import OpenAIclient = OpenAI(    base_url="https://model.graphn.ai/v1",    api_key=os.environ["GRAPHN_API_KEY"],)reply = client.chat.completions.create(    model="deepseek-v4.1-flash",    messages=[{"role": "user", "content": "Hello"}],)

import OpenAI from "openai";const client = new OpenAI({  baseURL: "https://model.graphn.ai/v1",  apiKey: process.env.GRAPHN_API_KEY,});const reply = await client.chat.completions.create({  model: "deepseek-v4.1-flash",  messages: [{ role: "user", content: "Hello" }],});

curl https://model.graphn.ai/v1/chat/completions \  -H "Authorization: Bearer $GRAPHN_API_KEY" \  -H "Content-Type: application/json" \  -d '{    "model": "deepseek-v4.1-flash",    "messages": [{"role": "user", "content": "Hello"}]  }'

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Grow a model call into a workflow with tools and knowledge bases.

The workflow platform →

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graphn.ai

DeepSeek V4.1 Flash Is Now Available on GraphNRead the announcement

Home

Requests19,52419,433 before · unc…

Org spend$67.15All workspaces in th…

Error rate4.5%884 errors · up 0.22…

TTFT p50320 msp95 463 ms · uncha…

Cache hit27%8.4M cached of 31.…

Tokens37.1M31.6M in · 5.6M out

per hour

SatSunMonTueWedThuFri

custom:cm-mock-1gpt-oss-120bimported:im-mock-1qwen3-80bqwen3.8-27b

220165110550

Click a bar, or drag across several, to open those requests in Logs

By modelUsage

ModelRequestsShareChange

qwen3.8-27b3,95820%+1%

gpt-oss-120b3,94920%+1%

RequestsLive

ModelKeyTTFT

11:36:05qwen3-80bCI pipeline312 ms

11:35:48qwen3-80bCI pipeline298 ms

11:35:31custom:cm-mo…Staging integ…341 ms

graphn.ai · Inference

DeepSeek V4.1 Flash1M context

Kimi K2.5256K context

Mistral Large 3256K context

Qwen3 VL 235B256K context

Qwen3.8 27B256K context

+ Your model$ graphn model deploy

Managed inference · OpenAI-compatible API

terminal

$ graphn model chat deepseek-v4.1-flash -m "Summarize this ticket"
The customer was charged twice at renewal. Refund one charge and confirm by email.
$ graphn model custom deploy --name support-8b \
    --hf-model-id Qwen/Qwen3-8B
✓ Custom model support-8b deployment started

Managed inference · OpenAI-compatible API

The built-in catalog

Chat & vision · 10

Model	Context	Thinking	Tools	JSON	Vision	Audio	Input · 1M	Output · 1M
DeepSeek V4.1 Flash`deepseek-v4.1-flash`	1M			·		·	$0.30	$1.20
Kimi K2.5 (image)`kimi-k2.5`	256K	·		·		·	$0.60	$3.00
Mistral Large 3`mistral-large-3`	256K	·		·	·	·	$0.50	$1.50
Qwen3 VL 235B Instruct (image)`qwen3-vl-235b`	256K	·		·		·	$0.53	$2.66
Qwen3.8 27B (image+video)`qwen3.8-27b`	256K					·	$0.45	$3.20
gpt-oss 120B`gpt-oss-120b`	128K		·	·	·	·	$0.15	$0.60
Qwen3 80B Instruct (131K context)`qwen3-80b`	128K	·			·	·	$0.20	$0.60
Qwen3.5 9B Vision (image+video)`qwen3-vl`	256K					·	$0.10	$0.15
Gemma 4 E4B (text+image+video+audio)`gemma-4-e4b`	64K			·			$0.15	$0.60
GLM-5.3`glm-5.3`	250K			·	·	·	$1.40	$4.40

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01
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02
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03
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Point any OpenAI SDK at GraphN and pick a model by name.

Make your first call.

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Point any OpenAI SDK at GraphN.

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Agents and Inference.
Big models. Small bills.

Build agents on the same models

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The built-in catalog

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Agents and Inference. Big models. Small bills.

Build agents on the same models

Support Router

Company Knowledge Search

Automated PR Review Bot

The built-in catalog

Create an account

Add a card

Create an API key

Make your first call.

Agents and Inference.
Big models. Small bills.