x-ai
SpaceXAI: Grok 4.20 Multi-Agent
x-ai/grok-4.20-multi-agent
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to its OpenRouter catalog entry, x-ai/grok-4.20-multi-agent is a variant of SpaceXAI's Grok 4.20 built for collaborative, agent-based workflows: the catalog says multiple agents run in parallel to conduct deep research, coordinate tool use, and synthesize information. It lists text, image, and file inputs with text-only output, a two-million-token context window, a September 2025 knowledge cutoff, and always-on reasoning with adjustable effort. No independent model card or measured benchmarks were included, so claims remain catalog-reported.[1]
Strengths
- Catalog-reported multi-agent design that runs parallel agents for deep research, tool coordination, and information synthesis.[1]
- Broad inputs per the catalog: text, images, and files, with a roughly two-million-token context window for very large prompts.[1]
- Reasoning effort adjustable across four levels plus API parameters for structured outputs, seeds, and logprobs, as listed in the catalog.[1]
Limitations
- Evidence is catalog-only: no independent model card was available in this source pack, and the benchmark fields are empty, so there is no measured performance data.[1]
- Capabilities are vendor-described rather than validated; test the model on your own workloads before relying on it.[1]
- Output is limited to text, reasoning cannot be disabled, and the source documents no license terms, hardware requirements, or safety behavior.[1]
Where to use it
- Deep-research or report-synthesis pipelines where parallel agents could gather and combine sources, as the catalog description suggests; validate quality on real queries.[1]
- Agentic workflows that analyze large text, image, and file inputs and need structured JSON output, pending workload testing.[1]
- Tasks where teams want to trade latency for deeper reasoning by tuning effort levels; confirm cost and speed behavior in practice.[1]
Sources
- [1] OpenRouter catalog · SpaceXAI: Grok 4.20 Multi-AgentSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Grok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...
Specifications
- Model ID
- x-ai/grok-4.20-multi-agent
- Canonical ID
- x-ai/grok-4.20-multi-agent-20260309
- Creator
- x-ai
- Added to OpenRouter
- 31.03.2026
- Context length
- 2,000,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1.25 / out $2.5
- Knowledge cutoff
- 01.09.2025
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · default medium · efforts: xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default medium · efforts: xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| xAI | 2,000,000 | $1.25 | $2.5 | — | — | — |
| xAI | 2,000,000 | $1.25 | $2.5 | — | — | — |
| xAI | 2,000,000 | $2.5 | $5 | — | — | — |
| xAI | 2,000,000 | $2.5 | $5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.