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.
| Grok 4 xai/grok-4 | Bge-M3 baai/bge-m3 | |
|---|---|---|
| Provider | xAI | BAAI |
| Family | Grok 4 | BGE |
| Modality | text | embedding |
| Context window | 256,000 tok | 60,000 tok |
| Max output | 16,384 tok | — |
| Released | 2025-07-09 | 2024-05-22 |
| Input price | $5.00 /1M | $0.012 /1M |
| Output price | $15.00 /1M | — |
| Cache read | — | — |
| Tools | yes | — |
| Streaming | yes | — |
| Vision | yes | — |
| JSON mode | yes | — |
| Reasoning | yes | — |
| Prompt caching | — | — |
xAI Grok 4 — frontier reasoning, tool use, long context.
Multi-Functionality, Multi-Linguality, and Multi-Granularity embeddings model.
# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try Grok 4
client.chat.completions.create(
model="xai/grok-4",
messages=[{"role":"user","content":"hello"}],
)
# Try Bge-M3 — same client, same key
client.chat.completions.create(
model="baai/bge-m3",
messages=[{"role":"user","content":"hello"}],
)