# Mistral Small 4 API, paid in crypto

> Mistral Small 4 by API at $0.142 input and $0.57 output per 1M tokens, under Mistral’s own price. Apache 2.0, crypto, no KYC.

- URL: https://llmwithcrypto.com/models/mistral-small-4/
- Last updated: 2026-10-23
- Publisher: LLMwithCrypto (https://llmwithcrypto.com)

Mistral AI’s Mistral Small 4, release 2603, Apache 2.0, on an OpenAI-compatible endpoint. Billed per token from a crypto balance at 5% below Mistral’s own API price, the only one listed. No KYC.

**Quick answer — How much is the Mistral Small 4 API when paid in crypto?**

As of 23 October 2026, Mistral Small 4 (API id `mistral-small-4`) costs $0.142 per million input tokens and $0.57 per million output tokens on **LLMwithCrypto**, 5% below Mistral AI’s own price of $0.15 and $0.60. Context: 256K tokens. Top up in crypto and pay with no KYC.

## How does our price compare with other hosts?

List prices per million tokens on each host's own pricing page, read on 23 October 2026; promotions are left out. Ours is the median of these prices minus 5%; every host is in the [price index](https://llmwithcrypto.com/data/open-model-api-price-index-2026/).

| Host | Input / 1M | Output / 1M |
| --- | --- | --- |
| **LLMwithCrypto** | $0.142 | $0.57 |
| Mistral AI API | $0.15 | $0.60 |

*Prices checked on October 23, 2026.*

## How do I call Mistral Small 4?

With the OpenAI SDK, as for any OpenAI-compatible API: set the base URL to `https://llmwithcrypto.com/api/v1`, read your key from `LLMWITHCRYPTO_API_KEY`, and pass `mistral-small-4` as the model. Pass your API key as a Bearer token in the Authorization header, as the OpenAI SDK does.

*mistral_small_4.py*

```python
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://llmwithcrypto.com/api/v1",
    api_key=os.environ["LLMWITHCRYPTO_API_KEY"],
)

resp = client.chat.completions.create(
    model="mistral-small-4",
    messages=[{"role": "user", "content": "Tag each of these five product reviews as positive, negative or mixed."}],
)
print(resp.choices[0].message.content)
print(resp.usage)  # prompt_tokens and completion_tokens: what the call costs

```

## What is Mistral Small 4 good for?

Mistral Small 4 (2603) is Mistral AI’s small open model, Apache 2.0, with a context of about 256K tokens. Like Large 3, it was listed only on Mistral’s own API when we read the host pages.

It suits quick, inexpensive calls: tagging, routing, short replies and extraction. For harder tasks, move up to [Mistral Large 3](https://llmwithcrypto.com/models/mistral-large-3/) by changing the model id.

## What licence does Mistral Small 4 come with?

Apache 2.0, per Mistral’s documentation and Hugging Face. Hosting it as an API is allowed. Each model keeps its own licence and use policy (for example Meta’s Llama Acceptable Use Policy and the “Built with Llama” notice); using a model through us means accepting them.

## Mistral Small 4 questions

### How does it compare with gpt-oss-20b on price?

Both are small models; on 23 October 2026 Mistral Small 4 cost $0.142 / $0.57 here and gpt-oss-20b $0.033 / $0.161 per million tokens. Try both on your own prompts: the same key calls either.

### Why is the reference price Mistral’s own?

No other host we read listed Mistral Small 4 on 23 October 2026, so the maker’s list price is the reference and ours is 5% below it.

### Are prompts used for training?

We never train or fine-tune any model on your prompts or outputs.

## Sources

1. [Mistral AI API pricing](https://docs.mistral.ai/inference/pricing) — Mistral AI API (read 2026-10-23)

---

LLMwithCrypto: LLMwithCrypto is an OpenAI-compatible LLM API for open-weight models — DeepSeek V4 Pro, DeepSeek V4.1 Flash, DeepSeek R1, Qwen3.5 397B A17B, Qwen3 235B A22B Instruct, gpt-oss-120b, gpt-oss-20b, GLM-4.7, Llama 3.3 70B Instruct, Gemma 4 31B, Mistral Large 3, Mistral Small 4 — paid per token from a prepaid crypto balance, at 5% below the median price of the public hosts. No KYC: no ID, no selfie, no documents. Prompts and outputs are not stored.