Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.
Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.
| Gemini 3.1 Flash Lite google/gemini-3.1-flash-lite | GPT-5.4 Nano openai/gpt-5.4-nano | |
|---|---|---|
| Provider | OpenAI | |
| Family | Gemini 3 | GPT-5 |
| Modality | text | text |
| Context window | 1,000,000 tok | 128,000 tok |
| Max output | 8,192 tok | 16,384 tok |
| Released | 2026-04-13 | 2026-04-13 |
| Input price | $0.250 /1M | $0.200 /1M |
| Output price | $1.50 /1M | $1.25 /1M |
| Cache read | $0.025 /1M | $0.020 /1M |
| Tools | yes | yes |
| Streaming | yes | yes |
| Vision | yes | — |
| JSON mode | yes | yes |
| Reasoning | — | yes |
| Prompt caching | yes | — |
Google's lightest and most cost-efficient Gemini model for high-throughput tasks.
GPT-5.4 Nano is OpenAI's smallest and fastest model, optimized for edge and low-latency use cases.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try Gemini 3.1 Flash Lite
client.chat.completions.create(
model="google/gemini-3.1-flash-lite",
messages=[{"role":"user","content":"hello"}],
)
# Try GPT-5.4 Nano — same client, same key
client.chat.completions.create(
model="openai/gpt-5.4-nano",
messages=[{"role":"user","content":"hello"}],
)