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Mistral: Mistral Medium 3.1 (batch): AI model

Context window:
131,072 tokens
Input:
$0.2/1M tokens
Output:
$1/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Mistral: Mistral Medium 3.1 (batch) is a AI model from Mistral AI, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mistral-medium-3.1:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorMistral AI
TypeText, Image
Context window131,072 tokens
Pricing$0.20/M in · $1.00/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

9.2
Intelligence Index
Better than 9% of models we compared
20.5
Coding Index
Better than 19% of models we compared
1.9
Agentic Index
Better than 25% of models we compared

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
58.8%
HLE
Humanity's Last Exam
4.7%
IFBench
Instruction-following
39.8%
AA-LCR
Long-context reasoning
42.7%
CritPt
Research-level physics reasoning
0%
AA Omniscience
Broad factual knowledge accuracy
20.7%
Non-Hallucination
Rate of avoiding fabricated answers
15.4%

Coding

SciCode
Python for scientific computing
32.4%
Terminal-Bench Hard
Agentic coding & terminal use
10.6%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
40.6%
GDPval
Economically valuable tasks
0%

Source: Artificial Analysis

3D
Top 69%
1,092Elo
Win rate: 44.6%Avg time: 78.6s
ASCII Art
Top 97%
1,008Elo
Win rate: 30.8%Avg time: 23.3s
Code
Top 70%
1,126Elo
Win rate: 45.1%Avg time: 114s
Data Viz
Top 63%
1,153Elo
Win rate: 47.2%Avg time: 96.1s
Game Dev
Top 76%
1,087Elo
Win rate: 40.7%Avg time: 121s
SVG
Top 96%
992Elo
Win rate: 38.2%Avg time: 23.0s
UI Component
Top 72%
1,106Elo
Win rate: 43.6%Avg time: 84.0s
Website
Top 68%
1,139Elo
Win rate: 46%Avg time: 124s

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/mistral-medium-3.1: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/mistral-medium-3.1: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/mistral-medium-3.1:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

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Updated 2026-10-13