Using Mistral NeMo (2407) on Vercel AI Gateway
Implementation guide · Mistral NeMo · MistralAI
Vercel AI Gateway exposes Mistral NeMo (2407) through model ID mistral/mistral-nemo. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
mistral/mistral-nemo— see the documentation for request format. - 3
Code Examples
pip install openaiAI_GATEWAY_API_KEYmistral/mistral-nemocreator/model-name e.g. kwaipilot/kat-coder-pro-v2
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="mistral/mistral-nemo",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.02 |
| Output tokens | $0.04 |
Capabilities
No model capability flags are currently sourced.
About Mistral NeMo (2407)
Mistral NeMo is a 12B parameter open-source language model developed by Mistral AI, designed for efficient performance and reasoning tasks. With a 128K token context window, it excels at handling long documents and complex reasoning. The model is optimized for fast inference while maintaining strong performance across multiple benchmarks, making it suitable for enterprise deployments where balance between performance and resource efficiency is critical.