xAI has 3 models in The AI Leaderboard directory: Grok 4.6, Grok 4.5, Grok 4.3. This provider hub compares their verified availability, licensing, context windows, pricing references and intended uses, with direct links to every model guide.

Quick answer: Grok 4.6 is the first xAI model to evaluate for its documented fit: Cost-sensitive agents, coding and partner workflows. Use the lineup table below to compare it with the provider’s other current, specialist, open-weight or migration-reference models.

xAI model lineup at a glance

Metric

Current directory value

Models covered

3

Currently ranked

None in the current top eight

Open-weight models

0

Restricted models

0

Legacy or migration references

0

Highest-ranked model

No current Overall rank assigned

Last verified

September 2, 2026

Complete xAI model directory

Model names in this table link directly to their complete guides. Status and pricing can change, so confirm the active endpoint and provider terms before procurement or migration.

Model

Status

License

Context

Best fit

Grok 4.3

Available

Proprietary

1 million tokens

cost-efficient reasoning, tool calling and large-context applications

Grok 4.5

Available

Proprietary

500,000 tokens

coding, office automation, technical research and tool-using agents

Grok 4.6

Available; outside current top eight

Proprietary

500K tokens

Cost-sensitive agents, coding and partner workflows

How the xAI models differ

Model

Directory role

Modalities

Maximum output

Access

Grok 4.3

Available proprietary

Text and image input; text output

No separate maximum published on the model card

xAI API, Amazon Bedrock and selected integrations

Grok 4.5

Available proprietary

Text and image input; text output

No separate maximum published on the model card

xAI API, Grok Build, Cursor, Grok apps and selected partners

Grok 4.6

Available proprietary

Text and image input; text output

No published output limit

See the guide for current access routes

The labels above describe access and lifecycle, not a hidden capability ranking. Only models with a validated Overall record receive a rank on this site. Other guides remain unranked until comparable evidence is available.

xAI model pricing

Model

Pricing reference

Cost caveat

Grok 4.3

$1.25 input and $2.50 output per million tokens

Caching, tools, long context and regional rates may differ

Grok 4.5

$2 input, $0.30 cached input and $6 output per million tokens below 200K prompt tokens; higher long-context rates apply

Caching, tools, long context and regional rates may differ

Grok 4.6

$2 input / $6 output per million tokens

Caching, tools, long context and regional rates may differ

Token price is not cost per accepted result. Measure retries, tool calls, latency, infrastructure and reviewer time on the same task set.

Which xAI model should you choose?

Requirement

Starting point

Why

Highest current rank

Grok 4.3

No ranked model; start with the documented fit and test directly

Open weights or self-hosting

No open-weight model in this provider directory

Compare open-weight models in the broader directory

Restricted specialist work

No restricted model in this provider directory

Use generally available models and least-privilege controls

Migration or reproduction

Grok 4.6

Compare current versions using pinned snapshots

Lowest operational cost

Measure two or three eligible models

Headline token prices omit retries, tools, caching and human review

xAI models, explained

Grok 4.3

Grok 4.3 was released 2026. It is listed as available with proprietary. The documented context window is 1 million tokens, and the maximum output is No separate maximum published on the model card.

  • Best fit: cost-efficient reasoning, tool calling and large-context applications.
  • Modalities: Text and image input; text output.
  • Access: xAI API, Amazon Bedrock and selected integrations.
  • Pricing reference: $1.25 input and $2.50 output per million tokens.

Read the complete Grok 4.3 guide for benchmarks, limitations, official sources and an evaluation framework.

Grok 4.5

Grok 4.5 was released July 16, 2026. It is listed as available with proprietary. The documented context window is 500,000 tokens, and the maximum output is No separate maximum published on the model card.

  • Best fit: coding, office automation, technical research and tool-using agents.
  • Modalities: Text and image input; text output.
  • Access: xAI API, Grok Build, Cursor, Grok apps and selected partners.
  • Pricing reference: $2 input, $0.30 cached input and $6 output per million tokens below 200K prompt tokens; higher long-context rates apply.

Read the complete Grok 4.5 guide for benchmarks, limitations, official sources and an evaluation framework.

Grok 4.6

Grok 4.6 was released August 12, 2026. It is listed as available; outside current top eight with proprietary. The documented context window is 500K tokens, and the maximum output is No published output limit.

  • Best fit: Cost-sensitive agents, coding and partner workflows.
  • Modalities: Text and image input; text output.
  • Access: See the guide for current access routes.
  • Pricing reference: $2 input / $6 output per million tokens.

Read the complete Grok 4.6 guide for benchmarks, limitations, official sources and an evaluation framework.

How to evaluate xAI models

Shortlist the xAI models that meet your access, licensing and modality requirements. Freeze 20 to 50 representative tasks, then give each candidate the same prompts, tools, context, reasoning budget and retry limits. Record the exact model identifier because provider aliases can change.

Measure

Record

Decision use

Task completion

Pass rate and rubric score

Establish whether the model meets the acceptance threshold

Reliability

Repeated-run variance and recovery behavior

Avoid choosing from one lucky result

Quality

Factuality, instruction following and reviewer acceptance

Separate polished output from correct output

Tool use

Wrong calls, retries, permission errors and unsafe actions

Evaluate the model and agent harness together

Efficiency

Wall time, tokens, caching, tools and review labor

Calculate cost per accepted result

Governance

Retention, training, regional processing and audit logs

Confirm the deployment fits policy requirements

Availability, versions and lifecycle

xAI may expose different snapshots, effort settings, products and partner integrations under similar labels. Treat every model name as incomplete without an exact endpoint or checkpoint. Re-run regression tests after any model, system prompt, retrieval, tool or permission change.

  • Available means a documented access route exists, not that every region or account has access.
  • Preview models can change behavior, price or retirement dates before general availability.
  • Open weights require an exact license and checkpoint review; “open” does not guarantee open training data or low operating cost.
  • Restricted models require separate eligibility, safeguards and data-handling review.
  • Legacy models remain useful for migration and reproduction but should not be the default for a new deployment.

Sources and update policy

Official xAI model documentation is the provider-level starting point. Each linked model guide cites its own first-party launch page, model card, pricing reference and safety documentation.

Compare this provider with the complete Best AI Models directory.

Last verified September 2, 2026. The hub should be updated when the provider launches, retires, renames or reprices a model, changes context or output limits, alters licensing, or modifies regional availability.

Frequently asked questions

How many xAI models are covered?

This hub covers 3: Grok 4.6, Grok 4.5, Grok 4.3. Every model has a dedicated guide linked from the directory table and profile sections.

What is the best xAI model?

xAI does not have a model with a current Overall rank on this page. Start with Grok 4.6 for its documented fit, then validate it against alternatives using the same task set.

Does xAI offer open weights?

No open-weight xAI model is included in the current directory. The listed models use provider-controlled access routes.

How current is the pricing?

Pricing references were verified September 2, 2026 from first-party documentation summarized in each model guide. Always recheck the provider before budgeting because cache, batch, long-context, tool and regional rates can change.

Should every xAI model be tested?

No. Remove models that fail access, license, modality, context, latency or governance requirements first. Test the smallest credible shortlist on representative work.