Mistral AI
Best for Research
Open-weight mixture-of-experts model for text, vision and tool-assisted work, with 256K context.
At a glance
API model ID: mistral-large-2512
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
The reviewed model card does not establish a configurable reasoning-effort list or default for this API ID. Do not copy Medium 3.5 controls or settings from separately named Ministral Reasoning weights into this model. Use a bounded task, clear evidence and an explicit answer format.
Put it to work
Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.
Workflow 01
Keep a long comparison tied to document evidence.
Compare these vendor proposals against the criteria I supply. Produce a matrix with each claim, its supporting document section and unresolved evidence gaps. Distinguish a vendor's promise from a demonstrated capability. Recommend questions for the next review meeting without inventing prices, benchmarks or contract terms.
Workflow 02
Use text and vision together without assuming hidden details.
Compare this architecture diagram with the written specification below. List visible components and data flows, then identify mismatches or missing labels. Separate diagram evidence from assumptions about the running system. Suggest focused validation checks and do not claim security, reliability or compliance from the diagram alone.
Workflow 03
Put approval gates around consequential actions.
Design a tool-assisted workflow for the task described here using only the available tool schemas. Separate read-only steps from actions that change external state. For each step state inputs, expected evidence, failure handling and any human approval required. Do not execute tools or infer permissions that are not explicitly granted.
Developer reference
These are Mistral API reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | Price |
|---|---|
| Input | $0.50 |
| Cached input | $0.05 |
| Output | $1.50 |
Common questions
The provider lists 675B total parameters and 41B active parameters. This describes the architecture, not the amount of memory, speed or cost a particular deployment will necessarily achieve.
No. It covers Mistral Large 3, API ID mistral-large-2512. Later Large models have separate specifications and prices; their claims are not carried into this guide.
Its card lists function calling and links agent capabilities, but actual execution depends on a configured service or application. Your integration must validate arguments, enforce permissions and return tool results.
No. Context capacity and maximum generated output are different limits. The source publishes 256k context but the reviewed model card does not establish an output ceiling; this guide does not invent one.
The model card supports text and vision tasks with text output. Use it to discuss visible content, and check the result against the image. That is not a claim of native image, audio or video generation.
No. A shared prefix and cache routing can help, but inspect reported cached tokens to confirm a hit. Only eligible cached input uses the lower rate; output is billed separately.
This is a provider API reference, not the app's subscription terms or a promise that every API feature is exposed. Check the app for access and the EZ Ai Assist pricing page for your plan.
Check the source
Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.
Same provider
Mistral AI
Text-and-vision model for coding and agent workflows, with 256K context and configurable reasoning.
Mistral AI
Hybrid text-and-vision model combining instruction following, reasoning and coding with 256K context.
Mistral AI
Compact 8B text-and-vision model for extraction and constrained workflows, with 256K context.
Mistral AI
Small 3B text-and-vision model for narrow classification and extraction tasks, with 256K context.