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Grok 4.20 Multi-agent

xAICurrentReleased Mar 10, 2026
Overall Score
Coming soon
Arena Elo
N/A
Categories Ranked
1of 8
Price (1M tokens)
$ in / $ out
Speed
N/A
Context
2M
ProprietaryReasoning
Confidence
multi-agent

BenchLM is tracking Grok 4.20 Multi-agent, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

Grok 4.20 Multi-agent is a proprietary model with a 2M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

Grok 4.20 Multi-agent sits inside the Grok 4.20 family alongside Grok 4.20. This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Its strongest category is Instruction Following (#2). This performance profile makes it a well-rounded choice across a range of tasks.

Ranking Distribution

Category rank across 2 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

67.7/ 100
Weight: 22%0 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

0.0/ 100
Weight: 20%0 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

0.0/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

0.0/ 100
Weight: 12%0 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

0.0/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

0.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

0.0/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

#2
100.0/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Grok 4.20 Family

Multi-agent

Canonical Entry

Grok 4.20

Compare This Model

See how Grok 4.20 Multi-agent stacks up against similar models

Frequently Asked Questions

How does Grok 4.20 Multi-agent perform overall in AI benchmarks?

BenchLM is tracking Grok 4.20 Multi-agent, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.

Which sibling models are related to Grok 4.20 Multi-agent?

Grok 4.20 Multi-agent belongs to the Grok 4.20 family. Related variants on BenchLM include Grok 4.20.

Does Grok 4.20 Multi-agent have full benchmark coverage on BenchLM?

Not yet. Grok 4.20 Multi-agent currently has 0 published benchmark scores out of the 178 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Grok 4.20 Multi-agent?

Grok 4.20 Multi-agent has a context window of 2M, which determines how much text it can process in a single interaction.

Last updated: April 29, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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