---
title: "InferAll no-card NIM trial free inference"
description: "A finite allowance for new accounts; it does not recur."
canonical_url: "https://freeinferencing.com/provider/inferall_trial/"
md_url: "https://freeinferencing.com/provider/inferall_trial.md"
last_updated: "2026-10-06"
---

# InferAll no-card NIM trial

> A finite allowance for new accounts; it does not recur.

## Classification

- **Directory:** Current
- **Free access:** One-time trial
- **Status:** Available now
- **Confidence:** Medium
- **Payment card:** No
- **Account:** Required
- **Equivalent paid value:** Up to $165.33 once
- **API endpoint:** `https://api.inferall.ai/v1`

## Models mentioned

- `openai/gpt-oss-20b`
- `z-ai/glm-5.3-flash`
- `nvidia/nemotron-3-nano-omni-30b-a3b-reasoning`
- `meta/muse-glimmer-30b`
- `nvidia/nemotron-3-ultra-550b-a55b`
- `z-ai/glm-5.3`
- `nvidia/riva-translate-4b-instruct-v2`
- `nvidia/nemotron-parse-2.0`
- `nvidia/nemotron-3.5-content-safety`
- `nvidia/llama-3.1-nemotron-safety-guard-8b-v3`
- `meta/llama-3.2-11b-vision-instruct`
- `google/diffusiongemma-26b-a4b-it`
- `nvidia/ising-calibration-1.5-31b`
- `nvidia/nemotron-3.5-lightning-30b-a3b`

## Limits and terms

```yaml
signup_nim_requests: 25
expiry: not_published
reset: One-time trial, not a daily refill.
paid_follow_on: A $5 activation purchase is required after trial exhaustion. It
  becomes spendable balance and unlocks $0 NIM routes plus advertised $5 monthly
  premium usage; this paid-gated follow-on is not counted as no-cost signup
  inference.
trial_counter_caveat: Docs contain an illustrative cap=200 example; pricing and
  main docs explicitly say25. Inspect X-InferAll-Trial-Usage and key status for
  the enforced account cap.
```

## What happens to your prompts?

**Partially private.** Non-retention is described as unverified product intent, not a binding end-to-end promise; upstream model terms remain relevant.

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: No-card NIM trial routed through InferAll and NVIDIA; public binding
    service/privacy agreements were not located.
  prompt_retention: No persistence is product intent, explicitly not yet verified end-to-end.
  response_retention: Same unresolved promise as prompts.
  ordinary_logging: Request/key identifiers, upstream/model, token counts,
    latency, status and timestamps; exact retention window unpublished.
  model_training: No binding gateway exclusion found; upstream NVIDIA terms also apply.
  product_improvement: Gateway and upstream scope not fully documented.
  human_or_operator_access: Gateway and upstream process plaintext during
    inference; no published no-access guarantee.
  subprocessors_and_routing: Fly.io US gateway; Supabase authentication, Stripe
    billing and selected upstream providers.
  deletion_controls: No published inference-content deletion workflow or finalized
    retention schedule.
```

## Eligibility

```yaml
account_required: true
payment_method_required: false
```

## API compatibility and modalities

- **Compatibility:** OpenAI Chat Completions, OpenAI Responses, Anthropic Messages
- **Modalities:** Text generation, Image / vision, Safety


## Before you build with InferAll no-card NIM trial

### Read the classification narrowly

This record describes the bounded offer supported by evidence on 2026-10-06; 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, Medium confidence, No payment-card status, and the plan-specific sources below.

### Resolve the live model route

The snapshot records 14 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 required. 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 Non-retention is described as unverified product intent, not a binding end-to-end promise; upstream model terms remain relevant. 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 6 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

- [InferAll no-card trial and paid activation boundary](https://inferall.ai/pricing): Official Pricing
- [InferAll API docs and dynamic trial counter](https://inferall.ai/docs): Official Docs
- [InferAll public model pricing JSON](https://api.inferall.ai/ai/v1/models): Live Catalog
- [InferAll current security posture](https://inferall.ai/security): Official Security
- [OpenRouter exact GLM5.3 pricing and caps](https://openrouter.ai/api/v1/models): Router Catalog
- [InferAll CLI repository](https://github.com/kindlyrobotics/inferall-cli): Official Repository

## Sitemap

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