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  1. Overview
  2. Guide

Mistral API Pricing & Uncensored Alternative

Developers seeking a reliable Mistral API alternative can now access an uncensored, OpenAI-compatible endpoint with transparent prepaid billing. This guide explains how to migrate your existing client code, compare costs against standard providers, and leverage a privacy-first architecture that never uses your prompts for training.

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Summary

  1. Switching to this uncensored LLM requires only a base_url change in your existing OpenAI SDK configuration.
  2. Token-based billing charges $0.15 per 1M input tokens and $0.50 per 1M output tokens with no monthly subscriptions.
  3. Crypto top-ups via USDT (TRC20) or USDC (Base) include bonus credits ranging from 5% to 15%.
  4. Privacy is guaranteed by a strict no-training policy and a 100,000-token context window for complex tasks.

Understanding Token-Based Billing

Token-based billing charges you strictly for the text processed, ensuring you never pay for idle capacity or unused monthly tiers. Our infrastructure calculates costs based on actual input and output volume, so errors and refusals incur zero charges. This model eliminates the risk of over-provisioning that often plagues fixed-fee subscriptions.

Each request consumes tokens for both the prompt sent and the completion generated. For example, a 1,000-token prompt with a 500-token response incurs charges for exactly 1,500 tokens. You can monitor usage in real-time through our dashboard, where prepaid credit reflects every transaction accurately. This approach works well for bursty workloads where usage spikes unpredictably.

Mistral API vs. Ours: Cost Comparison

While standard providers often bundle features you may not need, our API focuses on raw text generation with a straightforward pricing structure. You can compare our rates against major vendors by calculating your average monthly token volume. Standard providers might offer lower base rates but add costs for features like embeddings or image generation that your code does not use.

Our pricing remains constant regardless of traffic volume, with no hidden egress fees or request-based charges. The base URL is compatible with the official OpenAI SDKs, meaning you can swap the endpoint without rewriting your logic. This transparency allows you to predict costs precisely, which is critical for budget-conscious projects like AI-powered coding assistants or content generation pipelines.

Why Uncensored Matters for Developers

An uncensored model removes arbitrary refusals for lawful adult, fictional, or controversial topics, giving you full control over the output. This is particularly valuable for roleplay applications, creative writing tools, and security research where standard models might trigger false positives. You get the raw capabilities of the model without editorial gatekeeping.

The model does not refuse content involving adults, making it ideal for diverse creative use cases. However, a hard content limit always applies to sexual content involving minors, ensuring legal compliance. This balance allows you to push the boundaries of your application without worrying about sudden content filters interrupting your workflow. It is a dedicated uncensored LLM optimized for freedom, not a generalist model with hidden restrictions.

Handling Rate Limits and Concurrency

Rate limits are set to 300 requests per minute per key, with a concurrency cap of 8 simultaneous requests. This configuration supports most development and moderate production workloads without requiring complex queueing logic. If you exceed these limits, the API returns a standard error code that your client can handle gracefully.

For higher concurrency needs, you can generate additional keys, though each account is limited to one active key at a time. A new key automatically replaces the old one, ensuring you always have a valid endpoint. The 8 MB request body limit accommodates large prompts, including those used for document analysis or long-context coding tasks. Streaming responses via SSE allow you to display tokens in real-time, improving the user experience for chat interfaces.

Crypto Payments and Bonus Structures

Crypto payments are the only method for topping up your account, supporting USDT on the TRC20 network and USDC on Base. You can deposit any whole amount between $20 and $500, with bonus credits added automatically based on the deposit size. Paid credit never expires, so you can accumulate funds over time. This model is ideal for developers who prefer decentralized payments and want to avoid monthly subscription commitments.

Privacy: Are Your Prompts Used for Training?

Your privacy is protected by a strict no-training policy, meaning your prompts and completions are never used to improve the model. This is a critical distinction for enterprises and developers who handle sensitive data or proprietary code. You can send confidential information without worrying about it influencing future outputs for other users.

Account creation requires only an email address, with no phone number or personal identification needed. This minimal data collection aligns with the privacy-first ethos of the uncensored AI movement. You can verify that your data remains isolated by checking the API response headers, which include token usage details without storing your content permanently. This transparency builds trust for long-term projects.

Migration Guide from Standard APIs

Migrating to our API requires only updating the base URL and API key in your existing client configuration. Since we offer an OpenAI-compatible API, the endpoint structure matches the standard /v1/chat/completions format. You can use the same SDKs and libraries you are already familiar with, ensuring a smooth transition.

from openai import OpenAI

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

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

Set the model ID to "uncensored" to access the dedicated uncensored large language model. This model is an open-weight version tuned for freedom, not a clone of GPT, Claude, or Mistral. It runs on our own servers, ensuring consistent performance. The context window supports 100,000 tokens, allowing for extensive conversations or long documents. Function calling, JSON mode, and streaming are fully supported, so you do not lose any advanced features during migration.

Frequently Asked Questions

Is this the official Mistral API?

No, this is an independent service. We are not the official Mistral site, nor do we serve Mistral's proprietary models. We provide an uncensored LLM that is compatible with the OpenAI API standard. For details on the official Mistral API pricing and limits, check their documentation.

How do I get an API key?

Sign up using Google or an email address on the Get API key page. Your key is displayed immediately. There is no phone number required, and you can start using the API with the trial credit.

What is the context window?

The context window is 100,000 tokens for the combined prompt and completion. You can generate up to 16,000 tokens per request, or 2,048 if you do not specify a max_tokens value.

Do you support streaming?

Yes, we support Server-Sent Events (SSE) for streaming responses. Token usage details are included in the last chunk of the stream.

Frequently asked questions

Is console.mistral.api the official Mistral site?

No, it is an independent guide and service. We are not the official Mistral site, nor do we serve Mistral's proprietary models. We provide an uncensored LLM that is compatible with the OpenAI API standard. For details on the official Mistral API pricing and limits, check their documentation.

How do I top up my credit?

You can top up using USDT (TRC20) or USDC (Base) with amounts between $20 and $500. Bonus credits are added automatically: +5% for $50, +10% for $100, and +15% for $200.

What is the base URL for the API?

The base URL is HTTPS://api.consolemistralapi.com/v1. You can use this with any OpenAI-compatible client by updating the base_url and API key in your configuration.

Are my prompts used for training?

No, we have a strict no-training policy. Your prompts and completions are not used to improve the model. This ensures your data remains private and isolated from other users.

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