[whatmodel.sh](../../README.md) / Grok 4.20 Multi-Agent (0309) # Grok 4.20 Multi-Agent (0309) SpaceXAI (xAI) · released 2026-03 · closed weights **score 72.2** ±2.1 · #60 of 732 · from 3 benchmark results across 1 source Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at ● marks Grok 4.20 Multi-Agent (0309) among every model on that task or test, worst to best. 
task                vs the others         rank  counts  tests
chat & writing      ▁▁▁▃▆▄▆█▆▇●▃   #35 of 402*     48%      1
vision & documents  ▁▁▂▂▁▃▄▂▆●█▄   #49 of 153*     32%      1
web search          ▁▁▁▅▄●▃▄·▁·▁    #31 of 84*     17%      1
chat & writing · #35 of 402 · 48% of its score Beats [GPT-6 Sol](gpt-6-sol.md), [GPT-5.6 Terra](gpt-5-6-terra.md), [MiMo-V2.6-Flash (309B-A15B)](mimo-v2-6-flash.md) here, though they rank higher overall. Trails [Grok 4.20 (0309 reasoning)](grok-4-20.md), [Gemini 3 Flash (Preview)](gemini-3-flash-preview.md), [Claude Sonnet 4.6](claude-sonnet-4-6.md) here, though they rank lower overall. 
test            result  vs the others in its run    difficulty  counts  why
LMArena (text)  1470.7  ▁▁▁▂▃▃▃▆▆▇●▃ beats 346/385  avg 1260       48%  blunt
vision & documents · #49 of 153 · 32% of its score Beats [MiMo-V2.6-Pro](mimo-v2-6-pro.md), [MiMo-V2.6-Flash (309B-A15B)](mimo-v2-6-flash.md), [GPT-6 Luna](gpt-6-luna.md) here, though they rank higher overall. Trails [Qwen3.6 Flash](qwen3-6-flash.md), [Gemini 3.5 Flash-Lite](gemini-3-5-flash-lite.md), [Kimi K2.5](kimi-k2-5.md) here, though they rank lower overall. 
test                             result  vs the others in its run    difficulty  counts  why
Arena vision (style controlled)  1250.2  ▁▁▂▂▂▂▃▄▅▅●▇ beats 106/152  avg 1061       32%  blunt
web search · #31 of 84 · 17% of its score Beats [Claude Haiku 5.5](claude-haiku-5-5.md), [Gemini 3.1 Pro (Preview)](gemini-3-1-pro.md), [Claude Opus 4.7](claude-opus-4-7.md) here, though they rank higher overall. Trails [GPT-4o mini (2024-07-18)](gpt-4o-mini-2024-07-18.md), [Mistral Small 3.1 24B (2503)](mistral-small-3-1.md), [GPT-4o (2024-08-06)](gpt-4o-2024-08-06.md) here, though they rank lower overall. 
test                                result  vs the others in its run  difficulty  counts  why
Arena search systems (style contr…  1206.4  ▁·▁▁▂▂▂█●▃▂▂ beats 24/36  avg 1069       17%  blunt
## How the score was worked out Each result implies a score on its own, after adjusting for how hard that test is and who ran it. The model's score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its *counts* column above; here it is added up by who ran the tests. [Method](../method.md) 
source                         results  share of the score
LMArena leaderboard dataset          3   98% ▇▇▇▇▇▇▇▇▇▇▇▇
prior: pull toward the middle             2% ▇
weighted average                        = 72.2
Licences: LMArena leaderboard dataset ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) ## How to run it ### Through an API api (xAI) · $1.56/M blended · $1.25 in / $2.5 out per 1M tokens · [docs.x.ai](https://docs.x.ai/developers/models/grok-4.20-multi-agent-0309.md) [price source](https://docs.x.ai/developers/models.md): USD per 1M tokens, xAI API text pricing table, grok-4.20-multi-agent-0309 (\< 200k prompt tokens): input $1.25, output $2.50; cached input $0.20 and the ≥200k long-context tier ($2.50/$5.00) excluded. Currency: USD. xAI official models and pricing page, observed 2026-09-28. · [context source](https://docs.x.ai/developers/models.md): Context limit from the maker's documentation, observed 2026-10-06. [interactive version](https://whatmodel.sh/model/grok-4-20-multi-agent-0309) · [JSON](https://whatmodel.sh/api?format=json&all=1)