Grok 4.20 Multi Agent beta 0309
xAI responsesGrok 4.20 Multi Agent beta 0309 is a xAI responses-API model.It supports a 1,000,000-token context windowwith up to 1,000,000 output tokens.Input is priced at $1.25/M tokens and output at $2.50/M tokens. Capabilities include function calling, vision, reasoning, prompt caching. Route Grok 4.20 Multi Agent beta 0309 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Grok 4.20 Multi Agent beta 0309 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $1.25/M input · $2.50/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.
| Input | $1.25/M | |
| Output | $2.50/M | |
| Blended (3:1 in:out) | $1.56/M Cross-model comparable price | |
| Cached input | $0.200/M |
Context & limits
- Context window
- 1,000,000 tokens
- Max input
- 1,000,000 tokens
- Max output
- 1,000,000 tokens
- Modalities
- vision, text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input ✓ supported
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output ✓ supported
- Prompt caching ✓ supported
- Reasoning ✓ supported
Strengths & caveats — when to pick Grok 4.20 Multi Agent beta 0309
Data-driven from Grok 4.20 Multi Agent beta 0309's percentile within responses peers.
Where it's strong
- +long-context tasks — context window in the top 8% of peers
- +long-form generation — 1,000,000-token max output, top-0% of peers
Watch out for
- No major caveats flagged from public spec.
Benchmark scores
Reported public benchmark numbers. Each row links to the source.
Call Grok 4.20 Multi Agent beta 0309 via Agent Command Center
One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.
agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.# Grok 4.20 Multi Agent beta 0309 via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC
client = AgentCC(
api_key=os.environ["AGENTCC_API_KEY"], # from app.futureagi.com → Settings → API Keys
base_url="https://gateway.futureagi.com/v1",
)
resp = client.chat.completions.create(
model="xai/grok-4-20-multi-agent-beta-0309",
messages=[{"role": "user", "content": "Hello, Grok 4.20 Multi Agent beta 0309!"}],
)
print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")
# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
model="xai/grok-4-20-multi-agent-beta-0309",
messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost: ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache: ", raw.headers.get("x-agentcc-cache"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Advanced: fallback + cache config (YAML) ▸
strategy: cost-optimized
targets:
- model: grok-4-20-multi-agent-beta-0309
provider: xai
weight: 80
fallbacks:
- model: gpt-5-6-sol
provider: github-copilot
- model: gpt-6-1-sol
provider: github-copilot
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }Explore similar models
Grouped by Chatbot Arena tier (Grok 4.20 Multi Agent beta 0309 sits at 1473 ELO). Side-by-side links appear where a comparison page exists; otherwise, open the model profile.
- Grok 4.20 Multi AgentxAI · $1.25/M in · $2.50/M out · 1,000,000 ctxView model →
- Grok 4.20 Multi Agent 0309xAI · $1.25/M in · $2.50/M out · 1,000,000 ctxView model →
- Grok 4.20 Multi Agent beta latestxAI · $1.25/M in · $2.50/M out · 1,000,000 ctxView model →
- Grok 4.20 Multi Agent Experimental beta 0304xAI · $1.25/M in · $2.50/M out · 1,000,000 ctxView model →
- GPT-5.6 SolGitHub Copilot · $4.00/M in · $20.00/M out · 272,000 ctxView model →
- GPT-6.1 SolGitHub Copilot · $2.00/M in · $10.00/M out · 272,000 ctxView model →
- GPT-5.5GitHub Copilot · $5.00/M in · $30.00/M out · 272,000 ctxView model →
- GPT-6 AstraGitHub Copilot · $10.00/M in · $50.00/M out · 272,000 ctxView model →
25–100 ELO lower, ≤50% of price
FAQ
How much does Grok 4.20 Multi Agent beta 0309 cost?
Input is priced at $1.25 per 1M tokens and output at $2.50 per 1M tokens (xAI, last verified Oct 22, 2026).
What is the context window of Grok 4.20 Multi Agent beta 0309?
Grok 4.20 Multi Agent beta 0309 supports a 1,000,000-token context window with up to 1,000,000 output tokens.
Does Grok 4.20 Multi Agent beta 0309 support function calling?
Yes — Grok 4.20 Multi Agent beta 0309 supports function (tool) calling.
Is Grok 4.20 Multi Agent beta 0309 good for production?
Grok 4.20 Multi Agent beta 0309 is well-suited for long-context tasks — context window in the top 8% of peers and long-form generation — 1,000,000-token max output, top-0% of peers.
How can I route to Grok 4.20 Multi Agent beta 0309 with fallback?
Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.
Useful links for Grok 4.20 Multi Agent beta 0309
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.