---
title: "BytePlus ModelArk free inference"
description: "500K tokens for new accounts; it does not recur. See verified limits, model IDs, privacy terms, and primary sources for BytePlus ModelArk."
canonical_url: "https://freeinferencing.com/provider/byteplus_modelark/"
md_url: "https://freeinferencing.com/provider/byteplus_modelark.md"
last_updated: "2026-09-19"
---

# BytePlus ModelArk

> 500K tokens for new accounts; it does not recur.

## Classification

- **Directory:** Current
- **Free access:** One-time trial
- **Status:** Current trial
- **Confidence:** High
- **Payment card:** No
- **Account:** Not documented
- **Equivalent paid value:** At least $2.40 once
- **API endpoint:** `https://ark.ap-southeast.bytepluses.com/api/v3`

## Models mentioned

- `seed-1.6`
- `seed-1.6-flash`
- `seed-2-1-turbo`
- `seed-translation`
- `skylark-pro`
- `skylark-vision`
- `skylark-embedding-vision`

## Limits and terms

```yaml
typical_tokens_per_eligible_model: 500000
skylark_embedding_vision_free_tokens: 500000
skylark_embedding_vision_paid_rate: $0.325/M image input or $0.125/M text input
recurrence: once_per_account
exact_models_and_expiry: Dynamic in Model Activation and Billing Center.
exclusions:
  - plugins
  - knowledge_bases
  - batch_inference
  - cache_storage
```

## What happens to your prompts?

**Partially private.** Campaign terms establish free tokens but do not resolve content TTL, training, improvement, or model-specific routing.

Privacy is audited separately from price. Review the current governing terms before sending sensitive or regulated data.

## Data governance and agreements

```yaml
data_governance:
  review_status: partial
  plan_scope: BytePlus ModelArk and its free-token campaign; product-specific,
    regional, and model-provider terms may add conditions.
  prompt_retention: No ModelArk-free-tier prompt TTL was verified in the campaign
    or general legal terms.
  response_retention: not_documented
  ordinary_logging: BytePlus collects service, account, device, security, and
    usage information; the legal pages do not clearly isolate inference content.
  model_training: No campaign-specific no-training commitment was found for
    ModelArk prompts and outputs.
  product_improvement: General service improvement uses are permitted; content
    scope remains unresolved.
  human_or_operator_access: BytePlus and service providers may process content; no
    zero-operator-access commitment was found.
  subprocessors_and_routing: BytePlus infrastructure and selected third-party/open
    models can create additional model-specific terms.
  deletion_controls: General privacy rights exist; no inference-content TTL or
    per-request deletion control was found.
  caveat: Promotional token terms establish price eligibility, not privacy. They
    must not be treated as a data-processing agreement.
agreements:
  terms_of_service: https://www.byteplus.com/en/legal/terms-of-service
  privacy_policy: https://www.byteplus.com/en/legal/privacy-policy
  promotional_terms: https://docs.byteplus.com/en/docs/legal/termsandconditions_modelark_free-token_campaign
```

## Eligibility

```yaml
enterprise_information_submission_required: true
payment_method_required: not_explicitly_stated
```

## API compatibility and modalities

- **Compatibility:** OpenAI Chat Completions, OpenAI Responses
- **Modalities:** Text generation, Embeddings, Image / vision
- **Geography:** Singapore And Supported Global Regions

## Before you build with BytePlus ModelArk

### Read the classification narrowly

This record describes the bounded offer supported by evidence on 2026-09-19; it does not guarantee permanence, production suitability, uptime, latency, model quality, or access from every account and region. “One-time trial” should be interpreted together with the Current directory placement, High confidence, No payment-card status, and the plan-specific sources below.

### Resolve the live model route

The snapshot records 7 model IDs. Match the exact ID against the provider's current catalog before using it in code because zero-price routes, aliases, context limits, and feature support can rotate while an older documentation page remains online.

### Match the quota to the workload shape

Translate the allowance into peak requests per minute, input and output tokens, concurrency, retries, and every daily or monthly ceiling that applies to the intended account. The first limit reached by the workload is the practical ceiling. A large token pool can still fail interactive bursts, and a high request limit can still fail long-context work. Include tool calls and retry traffic, test the largest realistic payload, and treat research, experimental, and community access as conditional on their eligibility and fair-use terms.

### Preserve billing and privacy boundaries

The recorded payment-card requirement is No, and account access is not documented. Confirm both in the live signup flow, set provider-side budgets when charges are possible, and observe the balance or usage fields after a complete request. The prompt-handling classification is **Partially private** because Campaign terms establish free tokens but do not resolve content TTL, training, improvement, or model-specific routing. Re-read the terms for the exact route and plan before sending sensitive, regulated, or proprietary content.

### Follow the evidence, then re-check it

This record links 9 first-party sources covering the offer, catalog, limits, pricing, terms, privacy, or adoption evidence available to the audit. Prefer the newest and most specific governing document or live catalog when sources disagree. A dated finding can become stale even when the page remains online, so retain the source and snapshot that supported the decision and submit a correction when a provider changes a material term.

### Plan fallback without policy drift

A fallback should preserve modality, context length, streaming, structured output, tools, safety controls, and data terms, not only API syntax. Decide which errors may retry, cap retry storms, and prevent an exhausted free route from silently switching to a billable model. Rotating aliases and free pools can change behavior without changing the endpoint, so retain the response model field and test at least one substitute route before the primary offer becomes unavailable.

### Monitor the offer as a dependency

Capture the model ID, response model, rate-limit headers, usage fields, latency, HTTP status, and provider request identifier. Watch authorization failure, quota exhaustion, catalog removal, policy revision, and balance movement as separate failure modes. Re-check the live catalog and governing sources on a schedule proportionate to the workload's importance, and keep an owner and exit path for any production dependency on volatile free capacity.

### Test one complete request before scaling

Start with the smallest permitted request using the exact credential, model ID, endpoint, region, and account type intended for deployment. Record the status, headers, usage fields, response model, latency, and dashboard balance movement. Then exercise an invalid model, quota exhaustion, or rate limit so failure is explicit and cannot silently switch to a paid route. Validate streaming, structured output, and tool calls separately because a free model can expose fewer features than its paid counterpart. Keep a budget ceiling outside the application whenever billing is possible, and do not send sensitive data until the observed route matches the reviewed agreement.

## Primary sources

- [Free token package](https://docs.byteplus.com/en/docs/modelark/1399514): Official Docs
- [API overview](https://docs.byteplus.com/api/docs/modelark/1465347): Official Docs
- [Free-token campaign terms](https://docs.byteplus.com/en/docs/legal/termsandconditions_modelark_free-token_campaign): Official Terms
- [BytePlus Terms of Service](https://www.byteplus.com/en/legal/terms-of-service): Official Terms
- [BytePlus Privacy Policy](https://www.byteplus.com/en/legal/privacy-policy): Official Privacy
- [BytePlus ModelArk pricing](https://docs.byteplus.com/en/docs/ModelArk/1544106): Official Pricing
- [PyPI download stats for byteplus-python-sdk-v2 (includes byteplussdkark and byteplussdkarkruntime ModelArk clients)](https://pypistats.org/packages/byteplus-python-sdk-v2): Package Registry Stats
- [byteplus-sdk/byteplus-python-sdk-v2 official SDK repository](https://github.com/byteplus-sdk/byteplus-python-sdk-v2): Official Repository
- [BytePlus ModelArk overview and first-party model list](https://docs.byteplus.com/en/docs/ModelArk/1330310): Official Docs

## Sitemap

See the full [semantic sitemap](/sitemap.md) for every page and markdown mirror.