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 | GPT 5.1 CodexOpenAIRemove | |
|---|---|---|
| Provider | xAI | OpenAI |
| Discovery tier | Balanced | Balanced |
| Added | Mar 31, 2026 | Nov 13, 2025 |
| Limits | ||
| Context window | 2MBest | 400K |
| Max output | 131.07KBest | 128K |
| Average output | 3.3K tokens | 22 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.25 | $1.25 |
| Output | $2.50Best | $10.00 |
| Cache read | $0.20 | $0.13Best |
| Benchmark indexes | ||
| Intelligence Index | — | 23.7 |
| Math Index | — | 95.7 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | No |
| Vision | Yes | Yes |
| Structured output | Yes | No |
| 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
- GPT 5.1 Codex
Intelligence Index
- Grok 4.20 Multi-Agent—
- GPT 5.1 Codex23.7
Indexes
Math Index
Composite of the math evaluations
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 95.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 69.3%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 25.7%
GPQA Diamond
Graduate-level science questions
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 86.0%
MMLU-Pro
Multi-subject knowledge and reasoning
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 86.0%
IFBench
Following precise output instructions
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 70.0%
Coding
LiveCodeBench
Recent competitive programming problems
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 84.9%
Math
AIME 2025
Competition mathematics, 2025 problems
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 95.7%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 34.8%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 83.0%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Grok 4.20 Multi-Agent: —
- GPT 5.1 Codex: 69.3%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- Grok 4.20 Multi-Agent
- GPT 5.1 Codex
| Leaderboard | Grok 4.20 Multi-Agent | GPT 5.1 Codex |
|---|---|---|
| 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
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