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 4.5 xai/grok-4.5 | DeepSeek V4 Pro deepseek/deepseek-v4-pro | |
|---|---|---|
| Provider | xAI | Deepseek |
| Family | Grok 4 | DeepSeek |
| Modality | text | text |
| Context window | 500,000 tok | 131,072 tok |
| Max output | 32,768 tok | 32,768 tok |
| Released | 2026-07-21 | 2026-06-08 |
| Input price | $1.00 /1M | $1.74 /1M |
| Output price | $1.00 /1M | $3.48 /1M |
| Cache read | — | — |
| Tools | — | — |
| Streaming | yes | yes |
| Vision | yes | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
xAI's Grok 4.5, a frontier model built for coding, agentic tasks, and knowledge work. Accepts text and image inputs, and supports function calling, structured outputs, and configurable reasoning effort (low, medium, high).
DeepSeek V4 Pro is a high-capability reasoning model from DeepSeek, served via Fireworks infrastructure for production-grade inference.
# 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 4.5
client.chat.completions.create(
model="xai/grok-4.5",
messages=[{"role":"user","content":"hello"}],
)
# Try DeepSeek V4 Pro — same client, same key
client.chat.completions.create(
model="deepseek/deepseek-v4-pro",
messages=[{"role":"user","content":"hello"}],
)