Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.
We introduce DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts (MoE) model with 552B backbone parameters and support for contexts of up to one million tokens. The model natively processes images and text, and generates text autoregressively.
Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.
Source: each provider's published benchmarks. Higher is better. Run an eval to compare on your own data.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Deepseek-V4.1-Flash-1017
client.chat.completions.create(
model="deepseek/deepseek-v4.1-flash-1017",
messages=[{"role":"user","content":"hello"}],
)
# Gemini 3.1 Pro
client.chat.completions.create(
model="google/gemini-3.1-pro",
messages=[{"role":"user","content":"hello"}],
)