IMAGE MODEL xAI Last updated:

Grok 3

xAI's Frontier Bet

xAI's third-generation flagship model, released February 2025 after a sub-12-month build of the largest known single-site GPU training cluster (Colossus, 200,000 H100s in Memphis). Approached or matched GPT-4o / Claude 3.7 / Gemini 2.5 Pro on benchmarks at launch and was integrated into X (Twitter) as the default conversational AI for X Premium subscribers.

Intelligence
Below avg
Speed
Slow
67 tok/s output
Cost
High
$3.00 in / $15.00 out
Context
1M
Up to 1,000,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on Artificial Analysis. Cost buckets are fixed dollar thresholds keyed off output-token price ($/M out).
Intelligence
  • Top 1%≤ 1%
  • Top 5%≤ 5%
  • Top 10%≤ 10%
  • Good≤ 25%
  • Medium≤ 50%
  • Below avg> 50%
Speed
  • Top 1%≥ 345 tok/s
  • Top 5%≥ 237 tok/s
  • Top 10%≥ 196 tok/s
  • Good≥ 146 tok/s
  • Medium≥ 90 tok/s
  • Slow< 90 tok/s
Cost
  • Freeopen weights · self-host
  • Low< $1 / M out
  • Moderate$1–5 / M out
  • High≥ $5 / M out

Why it matters

Grok 3 demonstrated that a startup founded in 2023 could reach frontier capability in under 24 months given sufficient capital and infrastructure willingness. The competitive implications: the frontier-model market likely sustains 4-6 well-funded labs in 2026-2030 rather than consolidating to 2-3. Whether xAI's specific positioning as the "most pro-free-speech AI" converts to durable customer preference remains to be seen.

Core Capabilities

Long Documents
Handles entire codebases, books, and multi-doc RAG.
Multimodal
Combines text, vision, and audio in one model.
Generative
Produces images, video, audio, or other media.
Reasoning
Solves complex math, logic, and planning tasks.

Context Window

1M tokens
≈ entire codebase
4k Chat 聊天
32k Long docs 长文档
128k Books 整本书
400k Multi-doc 多文档
1M This model 本模型
10M

Availability

API
Available
Product / App
Available
Open Source
Not released
Enterprise
Contact sales

Pricing Model

Pay per token
Input and output billed separately.
Pay-per-token

Capability / Performance

Where this model sits relative to the middle 60% of models in the tree. All scores are 0–10 (higher is better).

Lower 20% Upper 80% This model
Quality
AA Intelligence Index · scaled to 10
1.7
5.6
3.6
Speed
Output throughput · log-scaled
9.1
Cost efficiency
Input price ($/M tokens) · cheaper scores higher
6.2
10.0
5.1
Consistency
No data reported · placeholder
5.0
Lower 20% 20th percentile — 20% of models score below this This model Where the current model lands Upper 80% 80th percentile — only 20% of models score above this Percentile boundaries are computed across every model in the tree that reports the underlying benchmark for each capability.

What it feels like

  • First xAI model trained on the Colossus supercluster — 10x compute of Grok-2
  • AIME 2025 93.3% and GPQA 84.6% — credibly frontier-tier on math and graduate science
  • Chatbot Arena Elo 1402 at release — not a benchmark stunt, real human-preference signal
  • TechCrunch flagged that the released graphs omitted o3-mini-high's cons@64 score, sparking benchmark trust debate
  • Trained with reinforcement learning at unprecedented scale to refine chain-of-thought
  • Most useful inside the X (Twitter) product — outside that surface the alternatives feel more polished

Best use cases

  • Research and scientific Q&A where chain-of-thought matters
  • Real-time information retrieval inside the X platform with full timeline access
  • Math and competition-style coding (LiveCodeBench 79.4%)
  • Users who want a less-restricted model than ChatGPT/Claude defaults

Tools to try

Not ideal for

  • Coding-agent leaderboards — Claude Opus 4.5 and DeepSeek V4 score higher on SWE-bench
  • Workflows where benchmark transparency matters — release controversy is a real concern
  • Multimodal-first applications — Grok 3 lags on image tasks vs Gemini 2.5 Pro / GPT-5

Model Evolution

grok is xAI's image model family.

View full evolution tree →