Mistral AI
Fastest
Compact 8B text-and-vision model for extraction and constrained workflows, with 256K context.
At a glance
API model ID: ministral-8b-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
Create a compact, auditable visual extraction.
Inspect this form screenshot and return a table of field label, visible value, required marker and uncertainty. Preserve spelling exactly where readable, and use unreadable rather than guessing. Do not infer validation rules that are not shown. Finish with the fields a reviewer should inspect manually before this inventory is used.
Workflow 02
Use a small taxonomy with explicit exceptions.
Apply this document taxonomy to the supplied excerpts. For each document return its ID, one label, a short supporting passage and an ambiguity flag. Do not create new labels. If two labels fit equally well, mark review needed and explain the conflict in one sentence. Keep the result in the table format provided.
Workflow 03
Measure fit without assuming parameter count decides quality.
Given these outputs from compact models and the scoring rubric, compare extraction accuracy, instruction adherence and unsupported claims. Identify exact errors and examples where the rubric is ambiguous. Recommend a validation set and escalation threshold using the evidence supplied. Do not invent latency, token counts or hardware measurements.
Developer reference
These are Mistral API reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | Price |
|---|---|
| Input | $0.15 |
| Cached input | $0.015 |
| Output | $0.15 |
Common questions
It is a compact text-and-vision option to evaluate for labeling, extraction and constrained assistance. Compare its errors and operating cost against the 3B and 14B variants on your own examples rather than assuming a universal winner.
The card identifies ministral-8b-2512. The product family is Ministral 3, not Mistral 3; this guide keeps the existing Ministral catalog name and route.
No model-specific list was established in the reviewed card. Separately named reasoning weights and other Mistral models are not evidence that the same controls apply here.
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.
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