Route requests to
Ministral 3 8B
with Merge Gateway

Apply your own routing policies, reduce token costs automatically, and see every routing decision in real time with Merge Gateway.

What Ministral 3 8B costs to run

| Vendor | Input / 1M tokens | Output / 1M tokens | Zero data retention | | --- | ---: | ---: | --- | | Amazon Bedrock | $0.1500 | $0.1500 | Yes | | Mistral | $0.1500 | $0.1500 | No |

Test Ministral 3 8B
with Gateway’s Simulator

See a prompt's output, token spend, latency, and more with Ministral 3 8B.

Route requests to Ministral 3 8B in minutes

To get started in seconds, add our Gateway Implementation skill to your project, or pick your preferred SDK below. Check out our other quick start skills here.
Install the Merge Gateway SDK
Python
Copied!
1$ pip install merge-gateway-sdk
Send a request
Python
Copied!
1from merge_gateway import MergeGateway
2
3client = MergeGateway(api_key="YOUR_API_KEY")
4
5response = client.responses.create(
6    model="openai/gpt-5.2",
7    input=[
8        {"type": "message", "role": "system", "content": "You are a helpful programming tutor. Explain the concepts clearly with practical examples."},
9        {"type": "message", "role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
10    ],
11)
12
13print(response.output[0].content[0].text)
Try a diffrent model
Swap the model string to route to a different provider. No other code changes needed.
Anthropic
Copied!
1response = client.responses.create(
2    model="anthropic/claude-sonnet-4-20250514",
3    input=[
4        {"type": "message", "role": "system", "content": "You are a helpful programming tutor. Explain the concepts clearly with practical examples."},
5        {"type": "message", "role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
6    ],
7)
Point to Gateway
Python
Copied!
1from openai import OpenAI
2
3client = OpenAI(
4    api_key="YOUR_API_KEY",
5    base_url="https://api-gateway.merge.dev/v1/openai",
6)
Send a request
Use the standard chat.completions.create method. No provider prefix needed on the model name.
Python
Copied!
1response = client.chat.completions.create(
2    model="gpt-5.2",
3    messages=[
4        {"role": "system", "content": "You are a helpful programming tutor. Explain the concepts clearly with practical examples."},
5        {"role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
6    ],
7)
8
9print(response.choices[0].message.content)
Install packages
Copied!
1npm install merge-gateway-ai-sdk-provider ai
Create the provider
TypeScript
Copied!
1import { createMergeGateway } from "merge-gateway-ai-sdk-provider";
2
3const gateway = createMergeGateway({
4  apiKey: "YOUR_API_KEY",
5});
Send a request
Use generateText to send a request. Model names use the provider/model format.
TypeScript
Copied!
1import { generateText } from "ai";
2
3const { text } = await generateText({
4  model: gateway("openai/gpt-4o"),
5  prompt: "Explain the concept of recursion in programming with a simple set of examples.",
6});
7
8console.log(text);
If you already have @ai-sdk/openai installed, point it at Gateway with a base URL change:
TypeScript
Copied!
1import { createOpenAI } from "@ai-sdk/openai";
2
3const gateway = createOpenAI({
4  apiKey: "YOUR_API_KEY",
5  baseURL: "https://api-gateway.merge.dev/v1/ai-sdk",
6});
7
8// All generateText/streamText calls work unchanged
Install the Merge Gateway SDK
Anthropic SDK
Copied!
1from anthropic import Anthropic
2
3client = Anthropic(
4    api_key="YOUR_API_KEY",
5    base_url="https://api-gateway.merge.dev/v1/anthropic",
6)
7
8message = client.messages.create(
9    model="claude-sonnet-4-20250514",
10    max_tokens=1024,
11    messages=[
12        {"role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
13    ],
14)
15
16print(message.content[0].text)

Explore other models available in Merge Gateway

model logo
Amazon Nova 2 Lite
model logo
Amazon Nova 2 Sonic
model logo
Amazon Nova Premier
model logo
Amazon Nova Pro
model logo
Claude 3.7 Sonnet
model logo
Claude 3.7 Sonnet
model logo
Claude 4 Opus 20250514
model logo
Claude Fable 5
model logo
Claude Haiku 4.5 (20251001)
model logo
Claude Opus 4.1 (20250805)
model logo
Claude Opus 4 (20250514)
model logo
Claude Opus 4.5 (20251101)
model logo
Claude Opus 4.6
model logo
Claude Opus 4.6
model logo
Claude Opus 4.7
model logo
Claude Opus 4.7
model logo
Claude Opus 4.8
model logo
Claude Opus 4.8
model logo
Claude Sonnet 4.5
model logo
Claude Sonnet 4.5 (20250929)
model logo
Claude Sonnet 4.6
model logo
Claude Sonnet 4.6
model logo
Claude Sonnet 5
model logo
Claude Sonnet 5

Ministral 3 8B FAQ

If you have additional questions about Ministral 3 8B, we've addressed several more below. Keep in mind that this information was written in July, 2026 and may change over time.

Heading

What provider owns Ministral 3 8B?

Ministral 3 8B is a Mistral model.

Which vendors can run Ministral 3 8B?

Mistral is the default listed vendor, and other active vendors may also be available.

What context window does Ministral 3 8B support?

Ministral 3 8B supports 256,000 tokens on the primary listed vendor route.

What capabilities does Ministral 3 8B support?

Gateway currently lists streaming, structured outputs, tool calling, vision support for Ministral 3 8B across its available vendor routes.

Try Ministral 3 8B through Merge Gateway

Route, observe, and control AI requests across providers from one API.