Take back control of your enterprise AI spend.Run BiOS for enterprise AI training, serverless inference, evaluation, data generation and continuous improvement.

Tokens used AI spend Zero data retention

Save up to 70% on AI cost

Day 1Day 15Day 30

Build with leading models

Zero-Log by Design

We don't retain or store your data. Prompts and responses are processed in memory and discarded the moment the request completes.

Nothing Written Down

Prompts and responses live in memory for the duration of the request. No request logs, no content store, no archive.

Nothing to Leak

We never train on your data, and there is no stored copy to breach, subpoena or misuse. What was never kept cannot be lost.

Metering, Not Logging

We count tokens to bill you accurately. That count is all that exists afterwards -- never what you sent or what came back.

What it costs

See what it costs to run serverless inference on Run BiOS

Choose a model available through Run BiOS

tokens/mo
Input 70%Output 30%

Estimated monthly Run BiOS cost

$352,000 to $1,037,500

Run BiOS Adaptive at 500,000,000,000 tokens/mo

Input / 1M
$0.44 to $1.25
Output / 1M
$1.32 to $4.00

Current catalog charges are shown, including valid promotions. Banded charges remain ranges. Your bill follows actual usage.

Catalog read 19/10/2026

Not sure which model? Run BiOS Adaptive chooses for you

Serverless inference for leading AI models

Run the models available in your Run BiOS console through one compatible API. Current charges and context windows come from the same catalog.

Run BiOS
One service, one API
1M
Largest context window
$0.05
Current input rate from, per 1M tokens
Text + vision
Published model capabilities
runbios/bios-adaptive1M ctx
in $0.44 to $1.25out $1.32 to $4.00
deepseek/deepseek-v4.1-flash1M ctx
in $0.30out $1.20
anthropic/claude-opus-5-51M ctx
in $3.80out $19.00
anthropic/claude-sonnet-5-51M ctx
in $1.90out $9.50
anthropic/claude-haiku-5-51M ctx
in $0.095out $0.475
z-ai/glm-5.3-flash1M ctx
in $0.15out $0.50
z-ai/glm-5.31M ctx
in $1.40out $4.40
deepseek/deepseek-v4-pro-0813128K ctx
in $1.40out $3.40
anthropic/claude-opus-51M ctx
in $4.75out $23.75
openai/gpt-6-astra266K ctx
in $10.00out $50.00
openai/gpt-6-sol266K ctx
in $2.00out $10.00
openai/gpt-6-luna266K ctx
in $0.10out $0.50
minimax/minimax-m3128K ctx
in $0.30out $1.20
openai/gpt-5.4-mini266K ctx
in $0.75out $4.50
anthropic/claude-sonnet-51M ctx
in $1.90out $9.50
deepseek/deepseek-v4-flash128K ctx
in $0.10out $0.25
deepseek/deepseek-v4-flash-0731128K ctx
in $0.10out $0.25
deepseek/deepseek-v4-pro128K ctx
in $1.40out $3.40
moonshotai/kimi-k31M ctx
in $3.00out $15.00
z-ai/glm-5.21M ctx
in $1.40out $3.40
qwen/qwen3.5-397b-a17b256K ctx
in $0.50out $3.40
moonshotai/kimi-k2.7-code128K ctx
in $0.80out $3.40
deepseek/deepseek-v4.1-flash-10171M ctx
in $0.20out $0.60
openai/gpt-5.6-luna266K ctx
in $0.20out $1.20
openai/gpt-5.6-sol266K ctx
in $4.00out $20.00
openai/gpt-5.6-terra266K ctx
in $2.00out $12.00
openai/gpt-4.1-mini1M ctx
in $0.40out $1.60
openai/gpt-4o-mini125K ctx
in $0.15out $0.60
openai/gpt-4.1-nano1M ctx
in $0.10out $0.40
openai/gpt-5.5266K ctx
in $5.00out $30.00
openai/gpt-4o125K ctx
in $2.50out $10.00
openai/gpt-5-mini266K ctx
in $0.25out $2.00
openai/gpt-5.4266K ctx
in $2.50out $15.00
openai/gpt-5-nano266K ctx
in $0.05out $0.40
openai/gpt-5266K ctx
in $1.25out $10.00
openai/gpt-4.11M ctx
in $2.00out $8.00
qwen/qwen3.8-2.4t-a95b1M ctx
in $2.00out $6.00
openai/chat-latest266K ctx
in $5.00out $30.00
openai/gpt-5.1266K ctx
in $1.25out $10.00
openai/gpt-5.4-nano266K ctx
in $0.20out $1.25
openai/o3195K ctx
in $2.00out $8.00
openai/o4-mini195K ctx
in $1.10out $4.40
openai/o3-mini195K ctx
in $1.10out $4.40

USD per 1M tokens. Current Run BiOS charges are shown, including valid promotions. Banded charges remain ranges. Catalog read 19/10/2026.

Agent integrations

Works with your agent stack

Run BiOS connects to the frameworks your team already uses through one OpenAI-compatible API and familiar SDKs.

Hermes AgentOpenClawClineLiteLLMOpenAI SDKAnthropic SDK

Custom models

Serve a model you trained, on a GPU of its own

Fine-tuning produces weights you own. A finished checkpoint can go straight onto a dedicated endpoint without leaving the platform.

Custom training, end to end

Comes with fine-tuning

Custom Model Endpoints

Serve trained enterprise models through the same OpenAI-compatible API as the managed catalog. Dedicated endpoints provide isolated capacity and per-second billing.

Per second of GPU time
Training and serving rates start at $0.42/hr across 12 GPU types

Adapters serve themselves

A LoRA or QLoRA adapter is served with its base model automatically, with no manual merge step.

The route matches the model

Chat, completion, embedding and reranker models each expose the matching OpenAI route.

Sized to expected traffic

Light traffic uses the minimum capacity for the model. Heavy traffic adds GPUs for concurrency.

Memory is yours to tune

bf16 or fp8, with KV cache compression to fit more concurrent requests on the same card.

Run BiOS Conscious Loop

Enterprise AI that improves with every approved cycle.

The Conscious Loop turns approved production signals into curated data, trains the next model, evaluates it against enterprise goals and promotes it when it performs better. Every cycle runs inside your environment on your schedule.

  • Curated enterprise data
  • Evaluation before promotion
  • You own every version

Run BiOS Adaptive

One endpoint. Every frontier model. Zero model-ops.

Adaptive routes each request to the model that fits while balancing quality, speed and budget on per-token pricing with a published ceiling.

Which one you need

When to fine-tune, and when not to

Fine-tuning costs more than a serverless call and takes longer to get right. Plenty of workloads should start on serverless and stay there. Here is how to tell which side you are on.

Stay on serverless inference

A general-purpose model already fits the work, or the workflow is still being defined.

  • You are validating an idea or shipping a first version
  • Your prompts still change week to week
  • Traffic is spiky, seasonal or low volume
  • An open model in the catalog already hits the accuracy you need
  • You have no labelled examples of the output you want

Fine-tune your own model

A general-purpose model gets close, but is consistently wrong in a way you can describe.

  • You have hundreds or thousands of examples of the output you want
  • You need a smaller, efficient model to perform one specialized job well
  • Your domain uses specialized legal, financial or internal language
  • Format or tone has to be right on every single call
  • You need the weights to belong to you

Explore our managed LLM training platform or read our open-source model fine-tuning guides.

Enterprise

Run the complete enterprise AI stack inside your environment.

Deploy enterprise inference, fine-tuning, evaluation, data generation and the Conscious Loop in your cloud or data center. Your data, model weights and operational controls stay within your boundary while the Run BiOS team operates the stack.

Start with either one

Call a production model through the serverless API, or train your own on dedicated GPUs. Two products, one account, no commitment on either.

Serverless per million tokens · Fine-tuning from $0.42/hr · Your weights stay yours