< 100 ms TTFT
Time to first token, the metric your users actually feel, not brochure tokens-per-second. We lower it with prefix caching and chunked prefill in the engine.
token factory · llm api
Point the OpenAI or Anthropic SDK at GPUFlow and your code stays the same: 15 open source models served on NVIDIA B200 GPUs, in Spain, with balance in euros.
getting started
Start free with €5 when you create your account, or choose a bundle (10 / 50 / 200 / 1000 €) with bonus. Credit never expires.
On the free trial you just confirm your account. For a bundle, you pay in Stripe's secure checkout, in euros.
It arrives by email along with access to the admin panel. Point your SDK at GPUFlow and run your first curl.
compatibility
Token Factory speaks the OpenAI protocol (/v1/chat/completions) and the Anthropic one (/v1/messages). If you already use either SDK, you only change the endpoint.
endpoints
POST /v1/chat/completionsPOST /v1/messagesbase url · https://api.gpuflow.ai
catalogue
DeepSeek, GLM, Qwen and Gemma, served on our own infrastructure. Price per million tokens, input/output split. Need another one and it fits on the GPU? We deploy it.
| model | capabilities | input · €/Mtok | output · €/Mtok | details |
|---|---|---|---|---|
DeepSeek V4 Pro 1.6T MoE on 8× B200. Full-power reasoning. ChatCodingReasoningTools | ChatCodingReasoningTools | 0.80 € | 2.60 € | details |
GLM 5.2 NVFP4 743B NVFP4 on 8× B200. Generalist and coding with tool calling. ChatCodingReasoningToolsLong context | ChatCodingReasoningToolsLong context | 1.00 € | 3.00 € | details |
DeepSeek V4 Flash 1.6T MoE on 2× B200. High throughput, 524K context. ChatReasoningTools | ChatReasoningTools | 0.14 € | 0.28 € | details |
Qwen3.6 27B 27B dense. Strong at coding and agents, with tool calling. ChatReasoningToolsOCR | ChatReasoningToolsOCR | 0.30 € | 2.40 € | details |
Qwen3 14B 14B FP8. Reasoning with a configurable thinking budget. ChatReasoningTools | ChatReasoningTools | 0.20 € | 1.00 € | details |
Qwen3.5 9B 9B ultra-light. Fast and cost-effective, with tool calling. ChatReasoningTools | ChatReasoningTools | 0.10 € | 0.15 € | details |
Gemma 4 26B A4B Multimodal MoE, ~3.8B active. Vision, reasoning and tools. ReasoningTools | ReasoningTools | 0.12 € | 0.30 € | details |
Nemotron Nano 12B VL Vision-language model for OCR and document understanding. 128K context, up to 4 images per prompt. image-text-to-textOCR | image-text-to-textOCR | 0.06 € | 0.24 € | details |
Qwen3-VL 32B OCR Vision-language model for OCR and document understanding. 64K context, up to 4 images per prompt. image-text-to-textOCR | image-text-to-textOCR | 0.10 € | 0.35 € | details |
Nemotron 3.5 Lightning 30B MoE + Mamba-2 hybrid, ~3B active. Reasoning and tool calling, 128K context. ReasoningTools | ReasoningTools | 0.12 € | 0.30 € | details |
performance
Time to first token is what your user feels. We look after it at the hardware level.
Time to first token, the metric your users actually feel, not brochure tokens-per-second. We lower it with prefix caching and chunked prefill in the engine.
Latest-gen accelerators on bare metal. No shared tenant stealing your latency at peak time.
Low latency between nodes. Combined with a Sandbox, calls never hit the public internet.
see it in action
Compatible with the OpenAI and Anthropic SDKs: change the base URL, paste your key and you're calling 15 open source models served on B200 GPUs.
from openai import OpenAI
client = OpenAI(base_url="https://api.gpuflow.ai/v1",
api_key=os.environ["GPUFLOW_API_KEY"])
stream = client.chat.completions.create(
model="qwen-3.5-9b",
messages=[{"role": "user", "content": "What is GPUFlow? Answer in one sentence."}],
stream=True,
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="")response
Live demo with usage limits · small-model output. For production, open your account.
pricing
Load credit, consume by token, see spend in the dashboard. No fees, no minimums, no currency conversion.
frequently asked
No. Token Factory speaks the OpenAI protocol (/v1/chat/completions) and the Anthropic one (/v1/messages). Point the SDK you already use at https://api.gpuflow.ai, paste your key and the rest of your code stays the same.
All 15 in the catalogue (DeepSeek, GLM, Qwen, Gemma, NVIDIA, OpenAI, Mistral and Fish Audio), with a single API key. Need another open source model that fits the GPU? We'll deploy it.
You consume against your prepaid balance: pay per token up to whatever you've topped up, no quotas or minimums. If you need sustained high volume, reach out and we'll raise your account limits.
No. Your prompts and responses are processed to serve your request and are not used to train models. The details are in the privacy policy.
In our datacenter in Spain, on dedicated NVIDIA B200 GPUs. Your data never leaves Europe.
We publish availability on the status page. For a contractual SLA (enterprise accounts), reach out and we'll set one up.
Create the account and call any model in the catalogue. No card.