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.
| M2.7 minimax/m2.7 | Gemini 3 Flash google/gemini-3-flash | |
|---|---|---|
| Provider | MiniMax | |
| Family | Gemini 3 | |
| Modality | text | text |
| Context window | 128,000 tok | 1,000,000 tok |
| Max output | 4,096 tok | 8,192 tok |
| Released | 2026-04-13 | 2026-04-13 |
| Input price | $0.300 /1M | $0.500 /1M |
| Output price | $1.20 /1M | $3.00 /1M |
| Cache read | — | $0.050 /1M |
| Tools | — | yes |
| Streaming | yes | yes |
| Vision | — | yes |
| JSON mode | — | yes |
| Reasoning | — | yes |
| Prompt caching | — | yes |
MiniMax's M2.7 language model with multilingual capabilities.
Gemini 3 Flash is Google's fast multimodal model with frontier intelligence, superior search, and grounding capabilities.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try M2.7
client.chat.completions.create(
model="minimax/m2.7",
messages=[{"role":"user","content":"hello"}],
)
# Try Gemini 3 Flash — same client, same key
client.chat.completions.create(
model="google/gemini-3-flash",
messages=[{"role":"user","content":"hello"}],
)