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Mistral Small 4 API

Mistral AI·Vision

Mistral Small 4 — 119B MoE model unifying instruction following, reasoning, coding, and vision with 256K context.

256K Context 32.8K out 215 req/24h $0.76 24h volume
Input
Text Image
Output
Text

Pricing

Cheapest live price, per 1 million tokens.

Input / 1M tokens

$0.07053% off

$0.150 OpenRouter

Output / 1M tokens

$0.28153% off

$0.600 OpenRouter

Cache read / 1M

$0.00703

Repeated prompt prefixes

Cache read is the discounted rate for repeated prompt prefixes (system prompts, agent context).

Capabilities · 7

Vision Reasoning Tool calling JSON mode JSON schema Streaming Seed

Specifications

Context window
256K
Max output
33K
Type
Vision
Creator
Mistral AI
Live sellers
11
Requests / 24h
215

Price history · 60 days

Sep 5 — Nov 4▼ 0.00% vs last week
Compare all top models

Estimated monthly cost

30 days at the cheapest live price.

AI Chatbot
1,000 req/day · 2K in · 0.5K out
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$18.00 OpenRouter
Coding Copilot
500 req/day · 8K in · 2K out
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$36.00 OpenRouter
AI Agent
100 req/day · 50K in · 5K out
$14.76/mo
$31.50 OpenRouter

Quick start

OpenAI-compatible — change the base URL and key. Get a key from the dashboard.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.qubax.ai/v1",
    api_key="YOUR_QUBAX_API_KEY",
)

response = client.chat.completions.create(
    model="mistral-small-4",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)

About Mistral Small 4

Mistral Small 4 is a multimodal language model developed by Mistral AI. It's particularly well-suited for analyzing images, screenshots, and visual content, tackling complex, multi-step reasoning problems, orchestrating tool-using agents that call APIs and external services, producing structured outputs for reliable data extraction and handling large contexts of up to 256K tokens. Its 256K-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. It can write up to 33K tokens in a single response.

As of Nov 4, 2026, Mistral Small 4 costs $0.070 per 1M input tokens and $0.281 per 1M output tokens on Qubax, versus $0.150 / $0.600 on OpenRouter (53% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $0.28. 11 independent compute providers currently serve it, so requests fail over automatically. It handled 215 requests on Qubax in the last 24 hours. Pay with USDC, USDT, BTC, ETH or 350+ other coins — no credit card required.

Visual Analysis
Analyze images, screenshots, diagrams, and visual content
Complex Reasoning
Multi-step problem solving, math, and logical analysis
Function Calling
Build agents and tool-using applications
Long Documents
Process entire codebases, books, or lengthy conversations
Chat & Conversation
Build AI chatbots and conversational assistants

Similar-priced alternatives

Frequently asked questions

How much does the Mistral Small 4 API cost?

On Qubax, Mistral Small 4 costs $0.070 per 1M input tokens and $0.281 per 1M output tokens. This is 53% cheaper than OpenRouter's price of $0.150 per 1M input tokens.

Is the Mistral Small 4 API compatible with OpenAI?

Yes. Qubax provides an OpenAI-compatible API. You can use Mistral Small 4 as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.

Why is Mistral Small 4 cheaper on Qubax than OpenRouter?

Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 53% cheaper than OpenRouter's price for Mistral Small 4.

How do I pay for Mistral Small 4 API usage?

Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 350+ other coins and your balance is deducted as you use the API. No credit card or KYC required.

What is the context window of Mistral Small 4?

Mistral Small 4 supports a context window of 256K tokens, allowing you to process large documents, codebases, or long conversations in a single request.

What can I build with Mistral Small 4?

You can use Mistral Small 4 to analyze images and visual content, tackle complex multi-step reasoning tasks, build autonomous agents that call external tools and APIs, generate structured JSON output for data pipelines and process long documents and entire codebases. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.

How fast and reliable is Mistral Small 4 on Qubax?

Responses stream token by token. 11 sellers serve it, so if one is slow or down the request moves to the next.

Mistral Small 4 vs Moondream: Moondream 3.1: which should I choose?

Mistral Small 4 by Mistral AI and Moondream: Moondream 3.1 by Other are both strong models in a similar price tier. Mistral Small 4 excels at complex reasoning and supports vision/image inputs. Moondream: Moondream 3.1 comes from a different lab and may have different strengths depending on your workload. On Qubax, Mistral Small 4 starts at $0.070/1M input tokens versus Moondream: Moondream 3.1's $0.135/1M — making Mistral Small 4 the more cost-effective option for high-volume workloads. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.

Can I use Mistral Small 4 for commercial projects?

Yes. Mistral Small 4 on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.

Why use Mistral Small 4 on Qubax?

53% cheaper

Providers compete on price — you get the cheapest healthy seller.

Pay with crypto

350+ coins (BTC, ETH, SOL, USDT, USDC). No card, no KYC.

OpenAI & Anthropic compatible

Drop-in base URL. Works with Cline, Cursor, Claude Code, OpenAI and Anthropic SDKs.

Get started free →

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Mistral Small 4

$0.070 in · $0.281 out

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