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Grok 4.20

xAI's Grok 4.20 reasoning variant (grok-4.20-0309-reasoning), described on docs.x.ai as "a high-performance model with industry-leading speed and agentic tool calling capabilities" combining "the lowest hallucination rate on the market with strict prompt adherence.".

text + image + file → text · made by xAI

$1.25→$2.5per Mtok in / out
xAI · 8 sellers

Sold by 14 ways

SellerLaneRate
xAI 0 ways$1per Mtok in$2per Mtok out
xAI apinot on the seller's list todaybatch$1per Mtok in$2per Mtok outdocs.x.ai · read 2026-08-25
Google Vertex AI 0 ways$1.25per Mtok in$2.5per Mtok out$0.2per Mtok cached
Google Vertex AI cloudnot on the seller's list todaystandard$1.25per Mtok in$2.5per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-10-31
Oracle Cloud Infrastructure cloudstandard$1.25per Mtok in$2.5per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-10-31
xAI apistandard$1.25per Mtok in$2.5per Mtok out$0.2per Mtok cacheddocs.x.ai · read 2026-10-31
Microsoft Azure AI cloudstandard$2per Mtok in$6per Mtok out$1.25per Mtok cachedmodels.dev · read 2026-10-31
Oracle Cloud Infrastructure cloudlong-context$2.5per Mtok in$5per Mtok out$0.4per Mtok cachedraw.githubusercontent.com · read 2026-10-31
xAI 0 ways$2.5per Mtok in$5per Mtok out$0.4per Mtok cached
xAI apinot on the seller's list todaylong-context$2.5per Mtok in$5per Mtok out$0.4per Mtok cacheddocs.x.ai · read 2026-08-25
Nous Research aggregatorstandard$1.25per Mtok in$2.5per Mtok out$0.2per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
OpenRouter 3 ways$1.25per Mtok in$2.5per Mtok out$0.2per Mtok cached
OpenRouter aggregatorstandard$1.25per Mtok in$2.5per Mtok out$0.2per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatorxai/priority$2.5per Mtok in$5per Mtok out$0.4per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorxai/zdr/priority$2.5per Mtok in$5per Mtok out$0.4per Mtok cachedopenrouter.ai · read 2026-08-25
Vercel AI Gateway aggregatorstandard$1.25per Mtok in$2.5per Mtok out$0.2per Mtok cachedai-gateway.vercel.sh · read 2026-08-25
Venice AI aggregatorstandard$1.42per Mtok in$2.83per Mtok out$0.23per Mtok cachedmodels.dev · read 2026-10-31
ElectronHub aggregatorstandard$4per Mtok in$8per Mtok outapi.electronhub.ai · read 2026-10-31

Measured 39 standings

PlaceBoardMetricScore
3rdof 23Cl bench — Epoch AIOverall0.222
5thof 36Design Arena · htmlslides (agents)Elo1180
12thof 17Cl bench life — Epoch AIOverall0.119
18thof 34LMArena · SearchScore (Elo)1189
26thof 92Forecastbench — Epoch AIOverall score64.5
33rdof 35Blueprint bench 2 — Epoch AIScore0
37thof 414LMArena · TextScore (Elo)1475
38thof 71Vending bench 2 — Epoch AIScore4662.847
44thof 50Design Arena · godotgamedev (agents)Elo1089
47thof 68Design Arena · webapps (agents)Elo1133
48thof 61Design Arena · fullstack (agents)Elo1054
49thof 93Design Arena · asciiart (models)Elo1172
50thof 54Design Arena · androidnative (agents)Elo1043
50thof 165LMArena · VisionScore (Elo)1256
53rdof 132Ale bench — Epoch AIPerformance1150.28
57thof 326GPQA Diamondmean_score89.331
58thof 202Terminalbench — Epoch AIAccuracy mean0.573
60thof 68Design Arena · mobileapps (agents)Elo1090
60thof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score44.912
61stof 78Frontiermath tier 4 v2 — Epoch AImean_score17.073
65thof 114Design Arena · svg (models)Elo1161
65thof 84Proofbench — Epoch AIAccuracy14
68thof 173Weirdml — Epoch AIAccuracy52.26
70thof 306OTIS Mock AIME 2024-2025mean_score92.222
71stof 154Chess puzzles — Epoch AImean_score29
71stof 93Simpleqa verified — Epoch AImean_score30.2
74thof 150Design Arena · 3d (models)Elo1190
76thof 154Design Arena · dataviz (models)Elo1217
77thof 163Design Arena · codecategories (models)Elo1219
77thof 169Design Arena · website (models)Elo1228
82ndof 290Arc agi 2 — Epoch AIScore65.14
82ndof 162Design Arena · gamedev (models)Elo1191
83rdof 235Dtbench — Epoch AIAccuracy90.13
84thof 157Design Arena · uicomponent (models)Elo1194
93rdof 309Arc agi — Epoch AIScore89.5
100thof 141LMArena · WebDevScore (Elo)1375
100thof 135Webdev arena — Epoch AIArena Score1373.76
106thof 112ARC-AGI-3 (Semi-Private)Score (%)0.09
112thof 197Lmca — Epoch AIScore38.66

About

Grok 4.20 — a text model from xAI, sold by 8 companies from $1.25 in and $2.5 out per million tokens, placed 37th of 414 on LMArena · Text.

It takes text, images and files and returns text, with a context window of 2,000,000 tokens. It was published in March 2026, trained on material up to September 2025. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Eight companies sell it. The cheapest is $1.25 in and $2.5 out per million tokens at Nous Research. Beside the standard rate there are faster and separately routed lanes. It has been measured on 39 boards, and stands best at 37th of 414 on LMArena · Text.

Every current figure

Maker
xAI
Register
model
Takes
text + image + file
Returns
text
Context
2,000,000 tokens
Published
March 2026
Knowledge to
September 2025
Licence
not read
Sellers
8
Price
$1.25 in and $2.5 out per million tokens — Nous Research
Boards
39
Best place
37th of 414 — LMArena · Text

Known as 10 names

grok-4.20-beta1grok-4.20-beta-0309-reasoningGrok 4.2x-ai/grok-4.20spacexai/grok-4.20-reasoningGrok 4.20 Reasoninggrok-4.20-0309-reasoninggrok-4.20-reasoninggrok-4.20-reasoning-latestSpaceXAI: Grok 4.20