Mistral: Mistral Small 4 (batch): AI model
- Context window:
- 262,144 tokens
- Input:
- $0.07/1M tokens
- Output:
- $0.3/1M tokens
- Type:
- text, image
- Vision
- Tools
- Streaming
- Long context
Thinking levels: high · none
Mistral: Mistral Small 4 (batch) is a AI model from Mistral AI, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
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-small-2603:batch",
"messages": [{"role": "user", "content": "Hello!"}]
}'Specs
| Vendor | Mistral AI |
|---|---|
| Type | Text, Image |
| Context window | 262,144 tokens |
| Pricing | $0.07/M in · $0.30/M out |
| API | Chat Completions |
| Capabilities | Streaming · Vision · Tools |
Benchmarks
11.3
Intelligence Index
Better than 17% of models we compared
26.6
Coding Index
Better than 29% of models we compared
0.8
Agentic Index
Better than 4% of models we compared
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
76.9%
HLE
Humanity's Last Exam
9.9%
IFBench
Instruction-following
48.2%
AA-LCR
Long-context reasoning
49.7%
CritPt
Research-level physics reasoning
0.3%
AA Omniscience
Broad factual knowledge accuracy
21.7%
Non-Hallucination
Rate of avoiding fabricated answers
33.5%
Coding
SciCode
Python for scientific computing
38.8%
Terminal-Bench Hard
Agentic coding & terminal use
17.4%
Agentic
τ²-Bench
Tool-use agents in dual-control scenarios
41.2%
GDPval
Economically valuable tasks
0%
Source: Artificial Analysis
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-small-2603: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-small-2603: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-small-2603:batch",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Buy the Mistral: Mistral Small 4 (batch) API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches Mistral: Mistral Small 4 (batch) and 600+ other models, and you pay only for what you use.
- No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessUpdated 2026-10-13