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 4.20 Multi-Agent xai/grok-4.20-multi-agent-0309 | Grok 4.20 Reasoning xai/grok-4.20-0309-reasoning | |
|---|---|---|
| Provider | xAI | xAI |
| Family | Grok 4 | Grok 4 |
| Modality | text | text |
| Context window | 2,000,000 tok | 2,000,000 tok |
| Max output | 4,096 tok | 4,096 tok |
| Released | 2026-05-22 | 2026-05-22 |
| Input price | $2.00 /1M | $2.00 /1M |
| Output price | $6.00 /1M | $6.00 /1M |
| Cache read | — | — |
| Tools | — | — |
| Streaming | yes | yes |
| Vision | — | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
xAI's Grok 4.20 multi-agent model with a 2M-token context window. Multiple agents collaborate in parallel to perform deep research tasks, with function calling, structured outputs, and reasoning capabilities.
xAI's Grok 4.20 reasoning model. Uses extended thinking to work through complex problems, returning a reasoning trace alongside the final answer.
# 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 4.20 Multi-Agent
client.chat.completions.create(
model="xai/grok-4.20-multi-agent-0309",
messages=[{"role":"user","content":"hello"}],
)
# Try Grok 4.20 Reasoning — same client, same key
client.chat.completions.create(
model="xai/grok-4.20-0309-reasoning",
messages=[{"role":"user","content":"hello"}],
)