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GPT-5.1-Codex-Mini vs Grok Build 0.1

Grok Build 0.1 leads GPT-5.1-Codex-Mini on the Artificial Analysis Intelligence Index, 27.2 to 20.4, at about the same output price ($2.00 vs $2.00 per million). Updated October 21, 2026; 1 benchmarks have a result for both.

GPT-5.1-Codex-MiniOpenAI
Coding
No data
Overall
No data
Output $/M
$2.00
0
Grok Build 0.1xAI
Coding
No data
Overall
No data
Output $/M
$2.00
1
vs boards won of 1 shared

GPT-5.1-Codex-Mini or Grok Build 0.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-5.1-Codex-Mini for a larger context window (400K against 256K tokens) and work measured by AA Intelligence Index, where it leads.

Shared results
1
GPT-5.1-Codex-Mini only
21
Grok Build 0.1 only
2
Like-for-like categories
1 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-5.1-Codex-Mini not benchmarked, Grok Build 0.1 not benchmarked.
Widest category
Intelligence, 6.8 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: GPT-5.1-Codex-Mini 20.4 against Grok Build 0.1 27.2, 6.8 points apart on a 0 to 100 scale.
Output price
Both cost $2.00 per million output tokens.
Context window
GPT-5.1-Codex-Mini takes 400K tokens, Grok Build 0.1 256K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-5.1-Codex-MiniBarsGrok Build 0.1Ties
Intelligence01
All shared boards01
CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards, none shared
Coding benchmarks for GPT-5.1-Codex-Mini and Grok Build 0.1
BenchmarkGPT-5.1-Codex-MiniGrok Build 0.1Leader
LMArena WebDev1244Not measuredOnly GPT-5.1-Codex-Mini measured
AA Coding IndexNot measured51.5Only Grok Build 0.1 measured
Vibe Code Bench (Vals AI)Not measured13.4%Only Grok Build 0.1 measured
LiveCodeBench (Artificial Analysis run)83.6%Not measuredOnly GPT-5.1-Codex-Mini measured
Terminal-Bench Hard (Artificial Analysis run)33.3%Not measuredOnly GPT-5.1-Codex-Mini measured
Terminal-Bench61.6%Not measuredOnly GPT-5.1-Codex-Mini measured
LMArena WebDev: HTML1253Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-5.1-Codex-Mini and Grok Build 0.1
BenchmarkGPT-5.1-Codex-MiniGrok Build 0.1Leader
AA Intelligence Index20.427.2Grok Build 0.1
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-5.1-Codex-Mini and Grok Build 0.1
BenchmarkGPT-5.1-Codex-MiniGrok Build 0.1Leader
τ²-Bench Telecom62.9%Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Reasoning benchmarks for GPT-5.1-Codex-Mini and Grok Build 0.1
BenchmarkGPT-5.1-Codex-MiniGrok Build 0.1Leader
GPQA Diamond (Artificial Analysis run)81.3%Not measuredOnly GPT-5.1-Codex-Mini measured
Humanity's Last Exam (Artificial Analysis run)18.5%Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for GPT-5.1-Codex-Mini and Grok Build 0.1
BenchmarkGPT-5.1-Codex-MiniGrok Build 0.1Leader
AA Math Index91.7Not measuredOnly GPT-5.1-Codex-Mini measured
AIME 2025 (Artificial Analysis run)91.7%Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for GPT-5.1-Codex-Mini and Grok Build 0.1
BenchmarkGPT-5.1-Codex-MiniGrok Build 0.1Leader
MMLU Pro (Artificial Analysis run)82.0%Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 17 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.1-Codex-Mini and Grok Build 0.1
BenchmarkGPT-5.1-Codex-MiniGrok Build 0.1Leader
Design Arena: websites1111Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: UI components1081Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: game dev1092Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: data viz1097Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: 3D988Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: all code categories1094Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: SVG978Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: ASCII art1105Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
General benchmarks for GPT-5.1-Codex-Mini and Grok Build 0.1
BenchmarkGPT-5.1-Codex-MiniGrok Build 0.1Leader
IFBench67.9%Not measuredOnly GPT-5.1-Codex-Mini measured
Long context reasoning (AA-LCR)66.7%Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 44 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.1-Codex-Mini and Grok Build 0.1
BenchmarkGPT-5.1-Codex-MiniGrok Build 0.1Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-5.1-Codex-Mini$0.0013Fits in one request
Grok Build 0.1$0.0020Fits in one request

GPT-5.1-Codex-Mini costs less

Repository review

50K input + 3K output tokens

GPT-5.1-Codex-Mini$0.018Fits in one request
Grok Build 0.1$0.056Fits in one request

GPT-5.1-Codex-Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5.1-Codex-Mini$0.070Fits in one request
Grok Build 0.1$0.220Fits in one request

GPT-5.1-Codex-Mini costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-5.1-Codex-Mini and Grok Build 0.1
SpecificationOpenAI GPT-5.1-Codex-MiniSpaceXAI Grok Build 0.1
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 13, 2025May 20, 2026
Context window400K256K
Input $/Mtok$0.25$1.00
Output $/Mtok$2.00$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1-Codex-Mini better than Grok Build 0.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.1-Codex-Mini for a larger context window (400K against 256K tokens) and work measured by AA Intelligence Index, where it leads.

Which is cheaper, GPT-5.1-Codex-Mini or Grok Build 0.1?

GPT-5.1-Codex-Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Grok Build 0.1 costs $1.00 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5.1-Codex-Mini or Grok Build 0.1?

GPT-5.1-Codex-Mini, with 400K tokens against 256K.

How many benchmarks is the GPT-5.1-Codex-Mini vs Grok Build 0.1 comparison based on?

1 benchmarks have a result for both models as of October 21, 2026. GPT-5.1-Codex-Mini's coding index rests on 1 independent benchmark and Grok Build 0.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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