Vercel AI Gateway exposes Xiaomi MiMo-V2-Flash through model ID xiaomi/mimo-v2-flash. 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
xiaomi/mimo-v2-flash— see the documentation for request format. - 3
Code Examples
pip install openaiAI_GATEWAY_API_KEYxiaomi/mimo-v2-flashcreator/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="xiaomi/mimo-v2-flash",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.30 |
Capabilities
About Xiaomi MiMo-V2-Flash
MiMo-V2-Flash is Xiaomi's efficient open-source Mixture-of-Experts model, announced December 17, 2025 at Xiaomi's Human-Car-Home Ecosystem Partner Conference. It has 309B total parameters with 15B active, uses hybrid attention that interleaves Sliding Window Attention and Global Attention, and extends native 32K context to 256K. Multi-Token Prediction enables about 2.6x speculative decoding speedup. The model was distributed with weights on Hugging Face and ranked highly on SWE-Bench Verified and multilingual benchmarks at research time.