Models / xAI/ Grok 4.3

Grok 4.3

xAI · released Apr 30, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$1.25
Output
$2.50
Cached
None held

List price · per 1M tokens · xAI at 1M context · machine-readable source ↗

Our take

Written Sep 30, 2026

Grok 4.3 is a hosted-only model: we list no download for it, so using it means choosing a host. Its one standout result is tool use, where it places 7th of 55 on Arena Agent · Tool use as of 25 Sep 2026, while its other agentic and reasoning standings sit near the bottom of their fields.

Who should pick it

Reach for it when the job is tool calling — picking the right tool and not inventing one — which is the one board where it places well. It also takes text, images and files in a single request, so a long document need not be split up first, though reliable recall across all of it is unverified in our data. Skip it if you need measured coding, reasoning or agentic task completion, where it sits near the bottom of every field we hold.

The case for it

  • 7th of 55 on Arena Agent · Tool use as of 25 Sep 2026, a board that records whether the model calls the right tool and does not invent one.
  • The request capacity is large enough for long documents to be handled in one go, though reliable recall across all of it is unverified in our data.
  • Text, image and file input with written output, so a document or screenshot does not have to be described in words first.

The case against it

  • 58th of 58 on LiveBench as of 25 Jun 2026 and 58th of 58 on LiveBench Agentic Coding as of 25 Jun 2026 — last in both fields.
  • 54th of 55 on Arena Agent (interactive problem solving) as of 25 Sep 2026, so agentic task completion is weak despite the tool-use result.
  • 58th of 168 on Arena Text (overall) as of 25 Sep 2026 and 49th of 168 on Arena Creative Writing as of 25 Sep 2026, boards that record which answer people preferred rather than whether it was correct.
00

How good is it?

A chat model for answering questions and calling tools, though it struggles with long multi-step tasks and changing course mid-way.

Good at
  • calling tools to carry out requestsArena Agent · Tool use · 7th of 55
Less good at
  • multi-step work it carries out for youArena Agent · 54th of 55
  • changing course when you give new instructionsArena Agent · Steerability · 52nd of 55
  • getting back on track after a step failsArena Agent · Recovery · 54th of 55

EverydayGeneral questions and everyday reasoning

3 of 5

Arena Text (overall)58th of 168 · 1442

Arena Hard Prompts 67th of 168Arena Maths 78th of 163LiveBench Mathematics 47th of 58LiveBench Data Analysis 55th of 58LiveBench Reasoning 55th of 58

CodingWriting and fixing code on its own

3.5 of 5

Arena Coding63rd of 168 · 1488

Arena Code (WebDev) 72nd of 95LiveBench Coding 53rd of 58

AgenticPlanning, calling tools, staying on task

1 of 5

Arena Agent54th of 55 · −0.203

LiveBench Agentic Coding 58th of 58

Also on this board: −0.116 (Sep 5, 2026). Read the pair, not the higher one.

WritingDrafting and rewriting prose

3 of 5

Arena Creative Writing49th of 168 · 1423

LiveBench Language 48th of 58
How it behaves in an agent loop
Tool usereaches for the right one, and does not invent one7th of 55
Steerabilitydoes what it was asked, and changes course when told52nd of 55
Recoverygets back on track after a command fails54th of 55
Task outcomefinishes what the session set out to do47th of 55

Placings on Arena's agent boards, from live sessions people ran themselves. A model can lead on one of these and sit mid-field on the others.

Other boards it appears on
Arena Instruction Following 73rd of 168LiveBench Instruction Following 44th of 58LiveBench 58th of 58Arena Agent · Tool use 7th of 55Arena Agent · Task outcome 47th of 55Arena Agent · Steerability 52nd of 55Arena Agent · Recovery 54th of 55

Boards this model appears on that none of the ratings above are built on.

Every published score for this model20 scoresEvery figure we hold, from 20 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
62.25source ↗
18.54source ↗
69.93source ↗
55.77source ↗
73.58source ↗
84.34source ↗
70.82source ↗
−0.203source ↗
−0.624source ↗
−0.111source ↗
−0.131source ↗
0.007source ↗
1488source ↗
1423source ↗
1456source ↗
1419source ↗
1442source ↗
1357source ↗
01

Where to rent it

Prices checked between 59 min and 1 hour ago — each listing carries its own date.

Cheapest published offer

xAI, direct and through OpenRouter

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts xAI on 1M of context.

per 1M tokens
$1.25 in / $2.50 out
Context served
1M
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$1.25 / $2.50checked 1 hour ago1Mnot measuredUnknownUnknownUnknown
xAIDirect and through OpenRouter$1.25 / $2.50checked 59 min ago directchecked 1 hour ago through OpenRouter1M1M max reply direct900K max reply through OpenRouter88 tok/sthrough OpenRouterDirectUnknownThrough OpenRouterNoDirectUnknownThrough OpenRouterYes30 daysDirectUnknownThrough OpenRouterConfirmed
xAIpriority tierThrough OpenRouter$2.50 / $5.00checked 1 hour ago1M900K max reply75 tok/sNoYes30 daysConfirmed

Across the 3 listings we hold: 2 say they do not train on prompts (1 of them only through OpenRouter), 0 say they do and 1 does not say. 2 appear in the zero-retention registry we check (1 of them only through OpenRouter); the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✓✓✓
xAIDirect and through OpenRouter✓✓✓
xAIpriorityThrough OpenRouter✓✓✓

Tool calling: 3 of 3 listings say yes. JSON output: 3 of 3 listings say yes. Strict schema: 3 of 3 listings say yes.

02

Models people weigh against Grok 4.3

03

When we formed this view

Recent changes

Sep 25, 2026BenchmarkScored 1488 on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1423 on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1456 on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1415 on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1419 on Arena Maths
What movedleaderboard
Sep 25, 2026BenchmarkScored 1442 on Arena Text (overall)
What movedleaderboard
Sep 25, 2026BenchmarkScored 1357 on Arena Code (WebDev)
What movedleaderboard
Sep 5, 2026BenchmarkScored −0.203 on Arena Agent
What movedleaderboard
Sep 5, 2026BenchmarkScored −0.624 on Arena Agent · Recovery
What movedleaderboard
Sep 5, 2026BenchmarkScored −0.111 on Arena Agent · Steerability
What movedleaderboard

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 3 listings does not say whether it trains on prompts, and 1 answers only through OpenRouter, not for its own listing.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text out
Catalogue slug
x-ai-grok-4-3

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us