MongoDB - Build AI That Scales
Mini tools| Model | Input | Cached input | Output | Unit |
|---|---|---|---|---|
|
Codestral 25.01
Mistral AI
|
$0.3 | - | $0.9 | per 1M tokens |
|
Devstral 2
Mistral AI
|
$0.4 | - | $2 | per 1M tokens |
|
Magistral Medium
This model
Mistral AI
|
$2 | - | $5 | per 1M tokens |
|
Magistral Small
Mistral AI
|
$0.5 | - | $1.5 | per 1M tokens |
|
Ministral 3 14B
Mistral AI
|
$0.2 | - | $0.2 | per 1M tokens |
|
Ministral 3 3B
Mistral AI
|
$0.1 | - | $0.1 | per 1M tokens |
|
Ministral 3 8B
Mistral AI
|
$0.15 | - | $0.15 | per 1M tokens |
|
Mistral Large 3
Mistral AI
|
$0.5 | - | $1.5 | per 1M tokens |
|
Mistral Medium 3.5
Mistral AI
|
$1.5 | - | $7.5 | per 1M tokens |
|
Mistral NeMo
Mistral AI
|
$0.15 | - | $0.15 | per 1M tokens |
|
Mistral Small 4
Mistral AI
|
$0.1 | - | $0.3 | per 1M tokens |
|
Mixtral 8x22B
Mistral AI
|
$2 | - | $6 | per 1M tokens |
|
Voxtral Small & Voxtral Mini
Mistral AI
|
$0.1 | - | $0.4 | per 1M tokens |
Magistral Medium
By Mistral AI
Model family: Mistral
Magistral Medium occupies the middle ground in the Magistral family, offering more depth and accuracy than Magistral Small while maintaining lower latency and cost compared to flagship large models. It’s instruction-tuned for precise, controllable responses and excels at step-by-step reasoning, document analysis, and code generation across multiple languages. With long-context support, it can process multi-document prompts, extended conversations, and repo-level coding tasks without losing coherence.
The model integrates cleanly into production pipelines, providing structured outputs such as JSON or patches and supporting function/tool calling for agent frameworks. Its balance of size and efficiency makes it ideal for enterprise copilots, knowledge assistants, and developer helpers where responsiveness and accuracy both matter. Teams often use Magistral Medium as the “default” deployment model—scaling up to larger Magistral variants for highly complex reasoning, or down to Small when cost or throughput is the main concern.
The model integrates cleanly into production pipelines, providing structured outputs such as JSON or patches and supporting function/tool calling for agent frameworks. Its balance of size and efficiency makes it ideal for enterprise copilots, knowledge assistants, and developer helpers where responsiveness and accuracy both matter. Teams often use Magistral Medium as the “default” deployment model—scaling up to larger Magistral variants for highly complex reasoning, or down to Small when cost or throughput is the main concern.
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Gen 7
Overview
Magistral Medium is Mistral’s mid-tier model in the Magistral line, designed to balance stronger reasoning and coding skills with practical deployment efficiency. It supports long-context prompts, structured JSON outputs, and tool/function calling, making it well suited for enterprise copilots, RAG, and workflow automation.
Pricing
Compare Magistral Medium with other models listed in the same vendor pricing tiers and context lengths.
Standard
About Mistral AI
Mistral AI is a company that specializes in artificial intelligence and machine learning solutions.
View Company ProfileBenchmark scores
How Magistral Medium ranks on tracked AI benchmarks. Click any benchmark to see its full leaderboard.
Compare across all benchmarks →Tools using Magistral Medium
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Juju🙏 95 karmaSep 11, 2024@Cabina.AIPersonal top 5 most convenient tools for creating content for website or social media. Writing text and generating images immediately -
I just used for a couple of scientific tasks and its output was as good as ChatGPT 4 and Gemini Pro. This is an interesting tool and I will be exploring it further
Last updated: April 6, 2026
