xAI · Balanced
Grok 4.20 Multi-Agent
Grok 4.20 Multi-Agent is tuned for collaborative agentic workflows while keeping the same 2M-token context window and multimodal support. Content policy rejections can still be charged: SpaceXAI may pass through a $0.05 moderation-failure fee, or a $0.055 usage-guidelines violation fee, depending on which rejection upstream returns.
- Reasoning
- Tools
- Vision
- Structured output
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- low · medium · high · xhigh
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $1.25
- Output
- $2.50
- Cache read
- $0.20
Reference prices as published by the model provider. API example
Specifications
- Context window
- 2M
- Max output
- 131.1K
- Average output (7 days)
- 3.3K tokens
- Longer than 97% of 465 models
Side by side
Grok 4.20 Multi-Agent compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Grok 4.20 Multi-AgentxAIThis model | Grok Build 0.1xAIRemove | |
|---|---|---|
| Provider | xAI | xAI |
| Discovery tier | Balanced | Balanced |
| Added | Mar 31, 2026 | May 20, 2026 |
| Limits | ||
| Context window | 2MBest | 256K |
| Max output | 131.07K | — |
| Average output | 3.3K tokens | 3K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.25 | $1.00Best |
| Output | $2.50 | $2.00Best |
| Cache read | $0.20 | $0.20 |
| Benchmark indexes | ||
| Intelligence Index | — | 27.2 |
| Coding Index | — | 51.5 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| Reasoning effort | low, medium, high, xhigh | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Grok 4.20 Multi-Agent
- Grok Build 0.1
Intelligence Index
- Grok 4.20 Multi-Agent—
- Grok Build 0.127.2
Indexes
Coding Index
Composite of the coding evaluations
- Grok 4.20 Multi-Agent: —
- Grok Build 0.1: 51.5
Agentic work
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Grok 4.20 Multi-Agent: —
- Grok Build 0.1: 1,065 Elo
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Grok 4.20 Multi-Agent: —
- Grok Build 0.1: 74.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Grok 4.20 Multi-Agent: —
- Grok Build 0.1: 38.3%
GPQA Diamond
Graduate-level science questions
- Grok 4.20 Multi-Agent: —
- Grok Build 0.1: 89.5%
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Grok 4.20 Multi-Agent: —
- Grok Build 0.1: 74.7%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- Grok 4.20 Multi-Agent
- Grok Build 0.1
| Leaderboard | Grok 4.20 Multi-Agent | Grok Build 0.1 |
|---|---|---|
| Vision Style Control · Entity Recognition | #12 · 1226.5 | Not in top 20 |
| Search Overall | #13 · 1204.8 | Not in top 20 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "x-ai/grok-4.20-multi-agent",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="x-ai/grok-4.20-multi-agent",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)xAI
Related models
Other xAI models, starting with the same family.