LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

GPT-5.2 vs Grok 4.3

Updated October 21, 2026. 85 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.2 Replace Grok 4.3
GPT-5.2OpenAI
Coding
58.9
Overall
30.4
Output $/M
$14.00
73
Grok 4.3xAI
Coding
22.5
Overall
24.9
Output $/M
$2.50
11
vs boards won of 85 shared, 1 tied

Decision reading

Pick GPT-5.2 for coding: it scores 58.9 on the Vibe Coding Index against 22.5 for Grok 4.3.

Pick Grok 4.3 when output tokens cost 5.6x less, or when a solved task costs $0.31 against $1.91.

Model AGPT-5.2OpenAI58.9/1002 independent benchmarks$1.91 per solved taskModel BGrok 4.3xAI22.5/1001 independent benchmark$0.31 per solved task
Shared results
85
GPT-5.2 only
26
Grok 4.3 only
19
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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-5.2 58.9 from 2 benchmarks, Grok 4.3 22.5 from 1 benchmark.
Widest category
Agentic work, 12.8 points apart on average over 7 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.2 53.5% against Grok 4.3 19.4%, 34.1 points apart on a 0 to 100 scale.
Output price
GPT-5.2 $14.00 against Grok 4.3 $2.50 per million output tokens, 5.6x apart.
Context window
GPT-5.2 takes 400K tokens, Grok 4.3 1M.

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-5.2BarsGrok 4.3Ties
Coding100
Intelligence10
Agentic work52
Reasoning110
Math60
Knowledge93
Web design431 tie
General273
All shared boards73111 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index100
Coding benchmarks for GPT-5.2 and Grok 4.3
BenchmarkGPT-5.2Grok 4.3Leader
SWE-bench Verified72.8%Not measuredOnly GPT-5.2 measured
SWE-bench Multilingual66.7%Not measuredOnly GPT-5.2 measured
LMArena WebDev14171358GPT-5.2
AA Coding IndexNot measured42.2Only Grok 4.3 measured
LiveCodeBench (Vals AI)85.4%84.5%GPT-5.2
SWE-bench Verified (Vals AI)75.8%71.4%GPT-5.2
Vibe Code Bench (Vals AI)53.5%19.4%GPT-5.2
Code migration (Vals AI)Not measured6.8%Only Grok 4.3 measured
ProgramBench (Vals AI)Not measured0.0%Only Grok 4.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Grok 4.3 measured
SkillsBench (Vals AI)Not measured40.6%Only Grok 4.3 measured
LiveCodeBench (Artificial Analysis run)89.4%Not measuredOnly GPT-5.2 measured
SciCodeNot measured48.3%Only Grok 4.3 measured
Terminal-Bench Hard (Artificial Analysis run)47.0%37.9%GPT-5.2
Terminal-Bench64.9%Not measuredOnly GPT-5.2 measured
GSO-Bench27.5%Not measuredOnly GPT-5.2 measured
WeirdML72.2%49.9%GPT-5.2
ALE-Bench1293.5944.2GPT-5.2
LMArena Text: coding14421415GPT-5.2
LMArena Text: software and IT14341416GPT-5.2
LMArena WebDev: ReactNot measured1353Only Grok 4.3 measured
LMArena WebDev: HTML14271367GPT-5.2
LMArena WebDev: from an imageNot measured1375Only Grok 4.3 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.2 and Grok 4.3
BenchmarkGPT-5.2Grok 4.3Leader
AA Intelligence Index30.424.9GPT-5.2
Epoch Capabilities Index153.7Not measuredOnly GPT-5.2 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index52
Agentic work benchmarks for GPT-5.2 and Grok 4.3
BenchmarkGPT-5.2Grok 4.3Leader
AA Agentic IndexNot measured15.5Only Grok 4.3 measured
Design Arena: agents building web apps10861126Grok 4.3
Design Arena: agents building full-stack apps10431006GPT-5.2
Design Arena: agents building mobile apps10941059GPT-5.2
Design Arena: agents building Android apps1064967GPT-5.2
Design Arena: agents building Godot games1142914GPT-5.2
Design Arena: agents building gamesNot measured1007Only Grok 4.3 measured
Design Arena: HTML slidesNot measured1008Only Grok 4.3 measured
Design Arena: PowerPoint slidesNot measured1012Only Grok 4.3 measured
Finance Agent (Vals AI)Not measured37.7%Only Grok 4.3 measured
Tax Agent Bench (Vals AI)Not measured6.2%Only Grok 4.3 measured
Legal Research Bench (Vals AI)Not measured15.4%Only Grok 4.3 measured
Excel Modeling Benchmark (Vals AI)Not measured18.4%Only Grok 4.3 measured
τ²-Bench Telecom84.8%97.7%Grok 4.3
METR time horizons75.3%Not measuredOnly GPT-5.2 measured
Remote Labor Index2.5%Not measuredOnly GPT-5.2 measured
GDPval49.7%Not measuredOnly GPT-5.2 measured
DeepResearch Bench41.1%Not measuredOnly GPT-5.2 measured
Vending-Bench 2$3,591$35GPT-5.2
LMArena SearchNot measured1166Only Grok 4.3 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for GPT-5.2 and Grok 4.3
BenchmarkGPT-5.2Grok 4.3Leader
GPQA Diamond91.7%91.4%GPT-5.2
MMMU Pro (Vals AI)86.7%83.1%GPT-5.2
GPQA Diamond (Artificial Analysis run)90.3%90.1%GPT-5.2
Humanity's Last Exam (Artificial Analysis run)37.7%37.2%GPT-5.2
GPQA Diamond (Epoch AI run)91.4%88.8%GPT-5.2
ARC-AGI86.2%Not measuredOnly GPT-5.2 measured
ARC-AGI-252.9%Not measuredOnly GPT-5.2 measured
SimpleBench45.8%Not measuredOnly GPT-5.2 measured
Chess puzzles48.0%18.0%GPT-5.2
Mystery game puzzles23.0%Not measuredOnly GPT-5.2 measured
EBR-bench23.0%Not measuredOnly GPT-5.2 measured
VPCT84.0%Not measuredOnly GPT-5.2 measured
LMArena Text: hard prompts14281396GPT-5.2
LMArena Text: expert14451384GPT-5.2
LMArena Text: hard prompts in English14311402GPT-5.2
LMArena Vision: diagrams12651241GPT-5.2
LMArena Vision: homework12761241GPT-5.2
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for GPT-5.2 and Grok 4.3
BenchmarkGPT-5.2Grok 4.3Leader
AIME96.9%Not measuredOnly GPT-5.2 measured
MGSM (Vals AI)94.0%Not measuredOnly GPT-5.2 measured
AA Math Index99.0Not measuredOnly GPT-5.2 measured
AIME 2025 (Artificial Analysis run)99.0%Not measuredOnly GPT-5.2 measured
OTIS Mock AIME96.1%93.3%GPT-5.2
FrontierMath, tiers 1 to 367.4%42.8%GPT-5.2
FrontierMath, tier 431.7%14.6%GPT-5.2
ProofBench15.0%11.0%GPT-5.2
LMArena Text: math14401387GPT-5.2
LMArena Text: mathematical work14421396GPT-5.2
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index93
Knowledge benchmarks for GPT-5.2 and Grok 4.3
BenchmarkGPT-5.2Grok 4.3Leader
MMLU Pro86.2%85.8%GPT-5.2
LegalBench (Vals AI)82.8%84.5%Grok 4.3
CaseLaw (Vals AI)66.0%79.3%Grok 4.3
CorpFin (Vals AI)65.9%68.5%Grok 4.3
TaxEval (Vals AI)75.8%70.8%GPT-5.2
MortgageTax (Vals AI)67.1%48.3%GPT-5.2
MedQA (Vals AI)94.1%Not measuredOnly GPT-5.2 measured
MedCode (Vals AI)49.8%38.1%GPT-5.2
MMLU Pro (Artificial Analysis run)87.4%Not measuredOnly GPT-5.2 measured
SimpleQA Verified37.1%33.2%GPT-5.2
LMArena Text: science14251399GPT-5.2
LMArena Text: medicine and healthcare14251384GPT-5.2
LMArena Text: legal and government14271386GPT-5.2
LMArena Text: business and finance14141381GPT-5.2
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for GPT-5.2 and Grok 4.3
BenchmarkGPT-5.2Grok 4.3Leader
Design Arena: websites11961196Tie
Design Arena: UI components11901192Grok 4.3
Design Arena: game dev11961174GPT-5.2
Design Arena: data viz12021180GPT-5.2
Design Arena: 3D10791125Grok 4.3
Design Arena: all code categories11711187Grok 4.3
Design Arena: SVG11371081GPT-5.2
Design Arena: ASCII art11531125GPT-5.2
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index273
General benchmarks for GPT-5.2 and Grok 4.3
BenchmarkGPT-5.2Grok 4.3Leader
Public Benefits Bench (Vals AI)Not measured51.7%Only Grok 4.3 measured
SAGE (Vals AI)49.3%19.7%GPT-5.2
MedScribe (Vals AI)84.4%74.4%GPT-5.2
Vals Multimodal IndexNot measured43.3%Only Grok 4.3 measured
IFBench75.4%83.3%Grok 4.3
Long context reasoning (AA-LCR)82.7%75.0%GPT-5.2
DTBench90.9%90.7%GPT-5.2
LMCA43.9%38.3%GPT-5.2
CL-bench18.2%Not measuredOnly GPT-5.2 measured
Furniture assembly38.3%Not measuredOnly GPT-5.2 measured
LMArena Text14161397GPT-5.2
LMArena Text: instruction following14091366GPT-5.2
LMArena Text: creative writing13761380Grok 4.3
LMArena Vision12461229GPT-5.2
LMArena Text: English14221404GPT-5.2
LMArena Text: non-English14051385GPT-5.2
LMArena Text: Chinese14471422GPT-5.2
LMArena Text: German14441395GPT-5.2
LMArena Text: Japanese14201379GPT-5.2
LMArena Text: Korean13741354GPT-5.2
LMArena Text: French14541411GPT-5.2
LMArena Text: Spanish14131399GPT-5.2
LMArena Text: Russian14151399GPT-5.2
LMArena Text: Polish14261398GPT-5.2
LMArena Text: multi-turn14191406GPT-5.2
LMArena Text: longer queries14131393GPT-5.2
LMArena Text: writing and language13921385GPT-5.2
LMArena Text: entertainment and media13781370GPT-5.2
LMArena Vision: English12431235GPT-5.2
LMArena Vision: Chinese13051257GPT-5.2
LMArena Vision: reading text12571235GPT-5.2
LMArena Vision: humor12271222GPT-5.2
LMArena Vision: captioning1267Not measuredOnly GPT-5.2 measured
LMArena Vision: recognizing things12321217GPT-5.2
LMArena Vision: creative writing12251237Grok 4.3
LMArena Document1405Not measuredOnly GPT-5.2 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.2 and Grok 4.3
BenchmarkGPT-5.2Grok 4.3Leader
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-5.2$0.0088Fits in one request
Grok 4.3$0.0025Fits in one request

Grok 4.3 costs less

Repository review

50K input + 3K output tokens

GPT-5.2$0.130Fits in one request
Grok 4.3$0.070Fits in one request

Grok 4.3 costs less

Agent loop

200K input + 10K output tokens

GPT-5.2$0.490Fits in one request
Grok 4.3$0.275Fits in one request

Grok 4.3 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-5.2 and Grok 4.3
SpecificationOpenAI GPT-5.2SpaceXAI Grok 4.3
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedDecember 10, 2025April 30, 2026
Context window400K1M
Input $/Mtok$1.75$1.25
Output $/Mtok$14.00$2.50
Coding index58.922.5
Independent measurements behind it21
Cost per solved task$1.91$0.31
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.2 better than Grok 4.3 for coding?

Pick GPT-5.2 for coding: it scores 58.9 on the Vibe Coding Index against 22.5 for Grok 4.3. Pick Grok 4.3 when output tokens cost 5.6x less, or when a solved task costs $0.31 against $1.91.

Which is cheaper, GPT-5.2 or Grok 4.3?

GPT-5.2 costs $1.75 per million input tokens and $14.00 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Per solved SWE-bench Verified task, GPT-5.2 costs $1.91 and Grok 4.3 $0.31.

Which has the bigger context window, GPT-5.2 or Grok 4.3?

Grok 4.3, with 1M tokens against 400K.

How many benchmarks is the GPT-5.2 vs Grok 4.3 comparison based on?

85 benchmarks have a result for both models as of October 21, 2026. GPT-5.2's coding index rests on 2 independent benchmarks and Grok 4.3's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next