IMAGE MODEL xAI Last updated:

Grok 3 mini Reasoning (high)

Grok 3 mini Reasoning (high) is an API model from xAI. It’s positioned for general text tasks—work that benefits from iteration, not just one-shot answers.

Intelligence
Medium
Speed
Good
148 tok/s output
Cost
Low
$0.30 in / $0.50 out
Context
1M
Up to 1,000,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on Artificial Analysis. Cost buckets are fixed dollar thresholds keyed off output-token price ($/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

Core Capabilities

Long Documents
Handles entire codebases, books, and multi-doc RAG.

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
Not 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
4.6
Speed
Output throughput · log-scaled
10.0
Cost efficiency
Input price ($/M tokens) · cheaper scores higher
6.2
10.0
10.0
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

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%)

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

Model Evolution

grok is xAI's image model family.

View full evolution tree →