LLMx-ai

xAI: Grok Latest

This model always redirects to the latest Grok model from xAI.

Anyone in the Project can @-mention xAI: Grok Latest with the team's shared context - pooled credits, one chat, one memory.

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Starter is free forever - 1 Project, 100 credits/month, 1 MCP. No card.

Verdict

Grok Latest delivers a massive 500K token context window at $2/$6 per Mtok — half the input cost of Claude Sonnet 4.5 and a third of GPT-4o's output pricing. It handles text, images, and files, making it a strong choice for long-document workflows where cost matters. Benchmark data remains sparse, so you're trading proven performance metrics for price and context capacity. Reach for this when you need to process entire codebases, legal filings, or multi-document research sets without breaking the budget.

Best for

  • Long-document analysis under budget constraints
  • Multi-file code review and refactoring
  • Legal or research corpus summarization
  • Cost-sensitive image and text workflows

Strengths

The 500K context window matches Claude Opus 4 while undercutting it on price — $2 input versus $3, $6 output versus $15. This makes Grok Latest viable for tasks that require ingesting entire repositories, lengthy transcripts, or stacks of PDFs in a single prompt. Multimodal support (text, image, file) covers common team workflows without requiring separate models. The pricing structure favors input-heavy workloads, where you load large contexts but generate concise outputs.

Trade-offs

Public benchmark results are not yet available, so you lack the MMLU, HumanEval, or GPQA scores that let you compare reasoning and coding quality against Claude, GPT-4o, or Gemini. Early adopters report variability in instruction-following precision compared to frontier models. The output pricing ($6/Mtok) is competitive but not the cheapest — Gemini Flash 2.0 costs $0.30 for similar tasks. If your workflow generates verbose outputs or requires proven benchmark performance, you may hit friction.

Specifications

Provider
x-ai
Category
llm
Context length
500,000 tokens
Max output
450,000 tokens
Modalities
text, image, file
License
proprietary
Released
2026-07-08

Pricing

Input
$2.00/Mtok
Output
$6.00/Mtok
Model ID
~x-ai/grok-latest

Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.

Team cost calculator

Estimated monthly spend
$56.32
17.6M tokens / month
5 seats · 80 msgs/day

Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.

Providers

Provider-level routing data is not available yet for this model.

Performance

Performance snapshots are collected daily. Check back after the next ingestion run.

Benchmarks

Public benchmark scores are not available yet for this model. Check back after the next ingestion run.

Works well with

Top MCPs

Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.

How Switchy teams use it

Not enough Projects have used this model yet to share anonymised team stats. We wait for at least 50 distinct Projects per week before publishing any aggregate.

Starter prompts

Codebase Architecture Review

Review the attached codebase files. Identify architectural patterns, highlight tight coupling or circular dependencies, and recommend three concrete refactorings to improve maintainability.
Open in a Project →

Multi-Document Research Synthesis

Read the attached research papers. Extract the core thesis from each, identify overlapping findings, and summarize the three most significant disagreements or gaps in the literature.
Open in a Project →

Screenshot-to-Code Conversion

Convert the attached screenshot into semantic HTML and Tailwind CSS. Preserve spacing, typography, and layout hierarchy. Output clean, production-ready code.
Open in a Project →

Meeting Transcript Action Items

Read the attached meeting transcript. List every decision made, every action item assigned (with owner), and any unresolved questions. Format as a bulleted list.
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Compare with

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Data last verified 7 hours ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.