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Mistral: Ministral 3 8B 2512 (batch): AI model

Context window:
262,144 tokens
Input:
$0.07/1M tokens
Output:
$0.07/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Mistral: Ministral 3 8B 2512 (batch) is a AI model from Mistral AI, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/ministral-8b-2512:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorMistral AI
TypeText, Image
Context window262,144 tokens
Pricing$0.07/M in · $0.07/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

5.5
Intelligence Index
Better than 2% of models we compared
9.7
Coding Index
Better than 5% of models we compared
0.6
Agentic Index
Better than 2% of models we compared

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
47.1%
HLE
Humanity's Last Exam
4.3%
IFBench
Instruction-following
29.1%
AA-LCR
Long-context reasoning
25.7%
CritPt
Research-level physics reasoning
0%
AA Omniscience
Broad factual knowledge accuracy
13%
Non-Hallucination
Rate of avoiding fabricated answers
5.8%

Coding

SciCode
Python for scientific computing
20.7%
Terminal-Bench Hard
Agentic coding & terminal use
4.5%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
26.6%
GDPval
Economically valuable tasks
0%

Source: Artificial Analysis

Design Arena

How Design Arena works ↗
3D
Top 85%
1,042Elo
Win rate: 46.2%Avg time: 33.2s
Code
Top 83%
1,059Elo
Win rate: 42.9%Avg time: 52.9s
Game Dev
Top 88%
1,003Elo
Win rate: 38.7%Avg time: 51.3s
Website
Top 80%
1,072Elo
Win rate: 42.9%Avg time: 56.1s

Metrics sourced from Design Arena

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/ministral-8b-2512:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="mistralai/ministral-8b-2512:batch",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "mistralai/ministral-8b-2512:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Mistral: Ministral 3 8B 2512 (batch) API, paid in rial

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Updated 2026-10-13