Mistral: Mistral Small 4 (batch)
Mistral AI • LLM
Mistral: Mistral Small 4 (batch) by Mistral AI
Specifications
Context Window
262K tokens
Input Price/1M
$0.15
#291 of 714
Output Price/1M
$0.60
Parameters
—
Max Output
210K tokens
Information
- Release date
- March 16, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Mistral: Mistral Small 4 (batch)
What is Mistral: Mistral Small 4 (batch)?
Mistral: Mistral Small 4 (batch) is an AI model developed by Mistral AI, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 262K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Mistral: Mistral Small 4 (batch) is usage-based, priced at $0.15/1M input tokens and $0.6/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
We don't have detailed benchmark results for Mistral: Mistral Small 4 (batch) yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Mistral: Mistral Small 4 (batch) is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), multimodal processing combining text and images, high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Mistral: Mistral Small 4 (batch) competes directly with similarly capable models. Mistral AI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Mistral: Mistral Small 4 (batch)?
Mistral: Mistral Small 4 (batch) is an AI model developed by Mistral AI. It is a language model (LLM), with multimodal support (text, image and more), open source.
How much does Mistral: Mistral Small 4 (batch) cost?
Mistral: Mistral Small 4 (batch) costs $0.15/1M input tokens and $0.6/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Mistral: Mistral Small 4 (batch) compare with other models?
We don't have detailed benchmarks for Mistral: Mistral Small 4 (batch) yet. Check the main benchmark page to compare available models.
Is Mistral: Mistral Small 4 (batch) open source?
Yes, Mistral: Mistral Small 4 (batch) is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is Mistral: Mistral Small 4 (batch) best for?
Mistral: Mistral Small 4 (batch) excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: August 31, 2026 • View methodology →