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 | Claude Haiku 4.5 anthropic/claude-haiku-4.5 | |
|---|---|---|
| Provider | xAI | Anthropic |
| Family | Grok 4 | Claude 4 |
| Modality | text | text |
| Context window | 2,000,000 tok | 200,000 tok |
| Max output | 4,096 tok | 8,192 tok |
| Released | 2026-05-22 | 2026-05-22 |
| Input price | $2.00 /1M | $1.00 /1M |
| Output price | $6.00 /1M | $5.00 /1M |
| Cache read | — | $0.100 /1M |
| Tools | — | yes |
| Streaming | yes | yes |
| Vision | — | yes |
| JSON mode | — | yes |
| Reasoning | — | — |
| Prompt caching | — | yes |
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.
Claude Haiku 4.5 delivers similar levels of coding performance at one-third the cost and more than twice the speed of larger models.
# 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 Claude Haiku 4.5 — same client, same key
client.chat.completions.create(
model="anthropic/claude-haiku-4.5",
messages=[{"role":"user","content":"hello"}],
)