BatchIn

For production AI trafficOne endpoint full control

One OpenAI-compatible control plane for managed and open models with routing policy cost controls hybrid fallback signed audit trails and batch lanes built for production traffic

Models
79
Managed Routes
79
Cost Control
Configurable
Audit Traces
Request-level

Get Started in 3 Steps

OpenAI-compatible API with BatchIn Managed routes, audit traces, and private-beta access controls.

1

Sign Up & Get API Key

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

batchin-sk-xxxx...
2

Change base_url

Using OpenAI SDK? Just change one line of code

client = OpenAI(
  base_url="https://batchin-api.onrender.com/v1",
  api_key="YOUR_KEY"
)
3

Route production inference

Use BatchIn Managed, Hybrid fallback, Dedicated Capacity, Private Cluster, Data-residency, and No-cloud mode paths without changing SDKs.

glm-5-1deepseek-v4-flashqwen3-next-80b-a3bqwen3-coder-30b-a3bkimi-k2-6
Developer Trust

Switch to BatchIn in one line

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

from openai import OpenAI

client = OpenAI(
    base_url="https://batchin-api.onrender.com/v1",
    api_key="YOUR_BATCHIN_KEY"
)

response = client.chat.completions.create(
    model="glm-5.1",
    messages=[{"role": "user", "content": "Summarize this meeting"}]
)

Featured managed routesA short list for the homepage. Full catalog lives on Models

Pick production-ready model routes with cost, latency, and audit controls visible from one catalog.

BatchIn Managed cost controlsSee model page for verified pricing

DeepSeek

Model ID: deepseek-v4-flash

text

DeepSeek V4 Flash

Total Context
256K
Max Output
64K
Std Input Price
Request access
Std Output Price
Request access
Batch Input Price
Request access
Batch Output Price
Request access

Qwen / Alibaba

Model ID: qwen3-next-80b-a3b

text

Qwen3-Next-80B-A3B

Total Context
256K
Max Output
32K
Std Input Price
$0.09 /M
Std Output Price
$0.13 /M
Batch Input Price
$0.09 /M
Batch Output Price
$0.09 /M

Moonshot AI

Model ID: kimi-k2-6

text

Kimi K2.6

Total Context
256K
Max Output
64K
Std Input Price
$2.80 /M
Std Output Price
$2.80 /M
Batch Input Price
$1.40 /M
Batch Output Price
$1.40 /M

DeepSeek

Model ID: deepseek-v3-2

text

DeepSeek V3.2

Total Context
160K
Max Output
64K
Std Input Price
$0.21 /M
Std Output Price
$0.28 /M
Batch Input Price
$0.21 /M
Batch Output Price
$0.21 /M

OpenAI OSS

Model ID: gpt-oss-120b

text

GPT-OSS-120B

Total Context
128K
Max Output
32K
Std Input Price
$0.02 /M
Std Output Price
$0.09 /M
Batch Input Price
$0.09 /M
Batch Output Price
$0.09 /M

Qwen / Alibaba

Model ID: qwen3-coder-30b-a3b

text

Qwen3-Coder-30B-A3B

Total Context
256K
Max Output
32K
Std Input Price
$0.13 /M
Std Output Price
$0.18 /M
Batch Input Price
$0.13 /M
Batch Output Price
$0.13 /M

Pricing Calculator

Estimate cost by model and usage; use routing policy for latency and fallback control.

Public site shows BatchIn-only cost estimates

Because competitor coverage is not verifiable for every route, the homepage no longer shows exact savings percentages. Use model detail pages for verified pricing notes, pass-through labels, and Asia / Batch lanes

BatchIn

$15.40

Shown in USD

Model pricing note

Standard relay $0.28/M. Public site shows Asia public floor and batch lanes. Asia Shared and Asia Dedicated available on request.

Pricing lane

Shows public Batch / Asia / pass-through lanes where available

Monthly BatchIn estimate

BatchIn$15.40

The homepage calculator only shows public BatchIn cost estimates and does not show unverified competitor savings percentages

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

What You Can Build

Build differentiated products around managed inference, batch processing, audit traces, multimodal workflows, and dedicated capacity

Controlled Agents

Build research, red-team, creative, and workflow agents with route policy, retention boundaries, and audit traces

Batch Processing

Process millions of documents with 3-tier priority scheduling and a fill path optimized for the lowest-cost offline throughput

VaaS / Verification

Verify outputs, preserve request evidence, replay decisions, and give enterprise teams an audit-ready trail for model-powered workflows

Multi-modal

Cover text, code, image, video, speech, and embeddings from one platform instead of stitching together multiple backends

Billing / Receipts

Build verifiable checkout, top-up, billing ledger, and receipt flows around USDC and Stripe

Dedicated Capacity

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

Contact Us

Route production AI traffic with cost, latency, and audit control.

Tell us where you need BatchIn Managed, Hybrid fallback, Dedicated Capacity, Private Cluster, Data-residency, No-cloud mode, or Regional Deployment.

Inference controlPreview
BYOKAvailable
RelayPrivate preview
TracesPrivate preview
VaaSRequest access
View status

Access planning

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

The customer preview does not use a homepage submission form yet. Email your team, model needs, and whether you need relay, BYOK, private capacity, or VaaS, and we will respond with the appropriate 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 BYOK, private capacity, VaaS, or data residency
AI Inference Control Plane: route managed and open models through one OpenAI-compatible endpoint.
BatchIn Managed: production model access with API keys, usage metering, and audit traces.
Hybrid fallback: keep traffic moving with cost, latency, and availability guardrails.
Dedicated Capacity: reserve private serving capacity for steady workloads and stricter controls.
Private Cluster and No-cloud mode: isolate tenant boundaries when deployment control matters.
Data-residency and Regional Deployment: align serving paths with customer and compliance requirements.