BatchIn

AI Capacity You Can Verify Not Just Trust

Use one OpenAI-compatible API for managed and open models, with visible routing, cost controls, signed records, and batch capacity for production workloads

Get API key Open Playground

Available models

Self-serve

Ready

Routing

Policy-led

Records

Signed

Developer path

Create an API key, copy the API endpoint, run a real Playground request, then inspect usage, cost, top-ups, and VaaS evidence.

Open path Enterprise path

Enterprise path

Open the production management surface for projects, keys, usage, request logs, billing, VaaS, reserved capacity, dedicated endpoints, and security posture.

Open path Agent path

Agent path

Manage agent keys, coding access, run history, usage by agent, billing, and VaaS from one workspace path.

Open path

Product reel

One workspace from model access to usage settlement.

See how BatchIn brings Model API, Multimodal API, Billing, VaaS, and Dedicated Capacity into one workspace.

Get Started in 3 Steps

OpenAI-compatible API with signed records, access controls, and production-ready model delivery.

Sign Up & Get API Key

Create an account, copy your API key, and apply an invite code for approved access or cohort programs if you have one

batchin-sk-xxxx...

Change base_url

Using OpenAI SDK? Just change one line of code

client = OpenAI(
  base_url="https://api.batchin.tech/v1",
  api_key="YOUR_KEY"
)

Route production inference

Route production inference across managed, dedicated, and policy-controlled delivery paths without changing SDKs.

glm-5-1deepseek-v4-proqwen3-next-80b-a3bqwen3-coder-30b-a3bkimi-k2-6

Start Free →Open Billing

Developer Trust

Switch to BatchIn in one line

OpenAI-compatible by default. Validate in Playground first, then move repeatable traffic into Model API

Open Docs Open Playground

batchin sdk quickstart

Featured modelsA short list for the homepage. Open Models for the full catalog.

Choose production-ready models with pricing, latency, and availability visible in one catalog.

Published pricingSee model page for verified pricing

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Model ID: deepseek-v4-pro

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DeepSeek V4 Pro

Total Context: 256K
Max Output: 64K
Std Input Price: $0.16 /M
Std Output Price: $0.32 /M
Batch Input Price: Contact us for batch
Batch Output Price: Contact us for batch

Pricing Calculator

Estimate cost by model and monthly usage.

ModelInput Tokens per month (M)

50M

Output Tokens per month (M)

50M

The homepage shows BatchIn published pricing

Open each model detail page for the current public price, cached-input rate, and any published batch pricing.

BatchIn

$23.96

Shown in USD

Model pricing note

Current BatchIn list price.

Pricing lane

Shows the current public pricing lane for this model

Monthly BatchIn estimate

BatchIn$23.96

The homepage calculator shows BatchIn published pricing only.

Dedicated Capacity

Reserve high-performance capacity monthly for stable high-load inference and training

Dedicated isolated resources with predictable performance
Supports 24/7 long-running jobs and high-throughput batch workloads
Integrates with model scheduling and audit traces

Explore Dedicated Capacity

What You Can Build

Build production AI products around Model API, Multimodal API, Billing, VaaS, and Dedicated Capacity

Controlled Agents

Build research, red-team, creative, and workflow agents with model routing, budget boundaries, and usage receipts

Billing

Manage budgets, attribution, alerts, and model policy by workspace, API key, customer_id, feature, and model

VaaS

Keep verifiable usage receipts for billable requests across reconciliation, downstream billing, audit, and disputes

Multi-modal

Cover text, code, image, video, speech, and embeddings from one platform without stitching together multiple vendors and tools

Billing / Receipts

Build verifiable checkout, top-up, billing ledger, and receipt flows across card, USDC, and approval-gated x402 paths

Dedicated Capacity

Reserve dedicated capacity for steady high-load inference while your team keeps the runtime, model stack, and operating rules

Contact Us

Run production AI traffic with clearer cost control, delivery options, and verification.

Tell us whether you need shared access, dedicated capacity, private deployment, data residency, or regional delivery planning.

Inference controlAccess controlled

Managed accessAvailable

Policy reviewConfigured with you

TracesConfigured with you

VaaSCustom delivery

View status

Access planning

Start by email and we will route you to the right access path

The public site does not collect deployment requests on the homepage. Email your team, model or media needs, expected traffic, budget guardrails, and whether you need dedicated capacity or data residency, and we will route you to the right access path.

Email the team

Helpful details to include

• Team name and target launch window
• Target models, expected traffic, and budget guardrails
• Whether you need dedicated endpoints, dedicated capacity, usage receipts, or data residency

AI Inference Platform: route managed and open models through one OpenAI-compatible endpoint.

Managed access: production model access with API keys, usage metering, and signed request records.

Backup routing: keep traffic moving with clear cost, latency, and availability controls.

Dedicated Capacity: reserve private serving capacity for steady workloads and stricter controls.

Private deployment: isolate tenant boundaries and operating controls when customer delivery needs a stronger boundary.

Data-residency and Regional Deployment: align serving paths with customer and compliance requirements.

Upcoming Events

Join hackathons, webinars, and build challenges

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