KI‑Modell‑Intelligenz

Grok 4.20 Multi-Agent

xai/grok-4-20-multi-agent

Von xAI · Familie: grok · veröffentlicht 2026-03-31

$1.42
Eingabe / 1 Mio. Tokens
$2.83
Ausgabe / 1 Mio. Tokens
2M
Kontextfenster
2M
Max. Ausgabe

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Fähigkeiten

✓ Tool Calling✓ Reasoning? Strukturierte Ausgabe✗ Anhänge✗ Offene Gewichte✓ Temperatur-Steuerung
Modalitäten: Eingabe text · Ausgabe text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding74
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability4/10
Agents69
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability4/10
JSON / structured output42
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume12/20
Cost efficiency52
  • Headline price (log-scaled)47/95
  • Has prompt-cache pricing5/5
Long context100
  • Context window (100K → 2M)90/90
  • Has published price for full window10/10
Production-readiness74
  • Number of independent providers20/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$8.52
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$17.03
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$4.25
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$14.19
$0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$18.74
$0.02 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Preis-Details

Empfohlene Preise von venice · grok-4-20-multi-agent

$1.42
Eingabe
$2.83
Ausgabe
$0.230
Cache-Lesen
Jenseits von 200K Kontext
input $2.83 · output $5.67 · cache_read $0.45

Bei 4 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
Vercel AI Gateway
vercel
xai/grok-4.20-multi-agent$2.00$6.002M2026-03-09
Kilo Gateway
kilo
x-ai/grok-4.20-multi-agent$2.00$6.002M2026-03-31
Poe
poe
xai/grok-4.20-multi-agent$2.00$6.00128K2026-03-13
Venice AI
venice
grok-4-20-multi-agent$1.42$2.832M2026-03-12

Datenunterschiede zwischen Anbietern

  • context_window varies: 128000, 2000000
  • release_date varies (span 22d): 2026-03-09, 2026-03-12, 2026-03-13, 2026-03-31
  • modalities varies across offerings

Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.

Frequently asked questions

How much does Grok 4.20 Multi-Agent cost?

Grok 4.20 Multi-Agent costs $1.42 per 1M input tokens and $2.83 per 1M output tokens, sourced from venice. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Grok 4.20 Multi-Agent?

Grok 4.20 Multi-Agent has a context window of 2M tokens, with a max output of 2M tokens per reply. This is the total combined size of prompt + completion.

Does Grok 4.20 Multi-Agent support tool calling?

Yes. Grok 4.20 Multi-Agent supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Grok 4.20 Multi-Agent support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Grok 4.20 Multi-Agent in our data source. Verify with xAI's official documentation before relying on it in production.

Can Grok 4.20 Multi-Agent accept image input?

No. Grok 4.20 Multi-Agent only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Grok 4.20 Multi-Agent open-weight?

No. Grok 4.20 Multi-Agent is a proprietary model — only xAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Grok 4.20 Multi-Agent?

If Grok 4.20 Multi-Agent doesn't fit, consider Grok Code Fast 1, Grok 4.1 Fast (Non-Reasoning), Grok 4. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More xAI models

Capability lists this model is in

See also

Zuletzt aktualisiert:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.