Grok 4.20 Multi Agent beta 0309
xAI chatGrok 4.20 Multi Agent beta 0309 is a xAI chat model.It supports a 2,000,000-token context windowwith up to 2,000,000 output tokens.Input is priced at $2.00/M tokens and output at $6.00/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 $2.00/M input · $6.00/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.
Grok 4.3 (xAI) sits in the same Chatbot Arena tier (±80 ELO of Grok 4.20 Multi Agent beta 0309) and runs ~43% cheaper for a typical RAG workload — $723/mo vs $1,278/mo at 3K in / 400 out · 5K reqs/day.
Quality match is gated on real benchmarks; the CTA disappears when no comparable peer exists.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.
| Input | $2.00/M | |
| Output | $6.00/M | |
| Cached input | $0.200/M |
Limits
- Context window
- 2,000,000 tokens
- Max input
- 2,000,000 tokens
- Max output
- 2,000,000 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 — not advertised
- Prompt caching ✓ supported
- Reasoning ✓ supported
Where it's strong
- +long-context tasks — context window in the top 1% of peers
- +long-form generation — 2,000,000-token max output, top-0% of peers
- +prompt caching — only 23% of chat models on Future AGI advertise this
Watch out for
- !strict structured output — no JSON-schema enforcement, expect retry loops
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: grok-4-3
provider: xai
- model: claude-opus-4-6-20260205
provider: anthropic
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }Compare with similar models
Grouped by Chatbot Arena tier (Grok 4.20 Multi Agent beta 0309 sits at 1473 ELO).
Arena ELO within −25, ≤70% of price
- Claude Opus 4.6Azure AI Foundry · $5.00/M in · $25.00/M out · 200,000 ctx
- Claude Opus 4.6 (2026-02-05)Anthropic · $5.00/M in · $25.00/M out · 1,000,000 ctx
- Gemini 3.1 Pro previewGoogle Vertex AI · $2.00/M in · $12.00/M out · 1,048,576 ctx
- Claude Opus 4.7Azure AI Foundry · $5.00/M in · $25.00/M out · 200,000 ctx
25–100 ELO lower, ≤50% of price
FAQ
How much does Grok 4.20 Multi Agent beta 0309 cost?
Input is priced at $2.00 per 1M tokens and output at $6.00 per 1M tokens (xAI, last verified May 12, 2026).
What is the context window of Grok 4.20 Multi Agent beta 0309?
Grok 4.20 Multi Agent beta 0309 supports a 2,000,000-token context window with up to 2,000,000 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 1% of peers and long-form generation — 2,000,000-token max output, top-0% of peers. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.
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.
Start here — vendor docs are the only authoritative spec.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.