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GPT-5.2 vs Grok 4.6

Updated October 21, 2026. 87 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 4.6
GPT-5.2OpenAI
Coding
58.9
Overall
30.4
Output $/M
$14.00
13
Grok 4.6xAI
Coding
76.4
Overall
44.3
Output $/M
$6.00
74
vs boards won of 87 shared

Decision reading

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 58.9 for GPT-5.2.

Pick GPT-5.2 when what matters is WeirdML or Chess puzzles, where it leads.

Model AGPT-5.2OpenAI58.9/1002 independent benchmarks$1.91 per solved taskModel BGrok 4.6xAI76.4/1002 independent benchmarks$0.82 per solved task
Shared results
87
GPT-5.2 only
24
Grok 4.6 only
36
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 4.6 76.4 from 2 benchmarks.
Widest category
Agentic work, 24.2 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: GPT-5.2 15.0% against Grok 4.6 51.0%, 36.0 points apart on a 0 to 100 scale.
Output price
GPT-5.2 $14.00 against Grok 4.6 $6.00 per million output tokens, 2.3x apart.
Context window
GPT-5.2 takes 400K tokens, Grok 4.6 500K.

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 4.6Ties
Coding18
Intelligence02
Agentic work06
Reasoning114
Math24
Knowledge47
Web design08
General525
All shared boards1374
CodingLike-for-likeFour of these boards feed the Vibe Coding Index18
Coding benchmarks for GPT-5.2 and Grok 4.6
BenchmarkGPT-5.2Grok 4.6Leader
SWE-bench Verified72.8%Not measuredOnly GPT-5.2 measured
SWE-bench Multilingual66.7%Not measuredOnly GPT-5.2 measured
LiveBench codingNot measured89.1%Only Grok 4.6 measured
LMArena WebDev14171617Grok 4.6
AA Coding IndexNot measured76.8Only Grok 4.6 measured
LiveCodeBench (Vals AI)85.4%88.2%Grok 4.6
SWE-bench Verified (Vals AI)75.8%95.6%Grok 4.6
Terminal-Bench 4 (Vals AI)Not measured17.2%Only Grok 4.6 measured
Vibe Code Bench (Vals AI)53.5%76.2%Grok 4.6
Code migration (Vals AI)Not measured44.6%Only Grok 4.6 measured
ProgramBench (Vals AI)Not measured1.0%Only Grok 4.6 measured
IOI (Vals AI)Not measured47.6%Only Grok 4.6 measured
Terminal-Bench 2.1 (Vals AI)Not measured78.3%Only Grok 4.6 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.8%Only Grok 4.6 measured
SkillsBench (Vals AI)Not measured55.8%Only Grok 4.6 measured
CyberBench (Vals AI)Not measured67.7%Only Grok 4.6 measured
LiveCodeBench (Artificial Analysis run)89.4%Not measuredOnly GPT-5.2 measured
SciCodeNot measured56.5%Only Grok 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly GPT-5.2 measured
Terminal-Bench64.9%Not measuredOnly GPT-5.2 measured
FrontierCodeNot measured48.0%Only Grok 4.6 measured
FrontierSWENot measured25.3%Only Grok 4.6 measured
GSO-Bench27.5%Not measuredOnly GPT-5.2 measured
WeirdML72.2%67.3%GPT-5.2
ALE-Bench1293.51508.1Grok 4.6
LMArena Text: coding14421466Grok 4.6
LMArena Text: software and IT14341457Grok 4.6
LMArena WebDev: ReactNot measured1631Only Grok 4.6 measured
LMArena WebDev: HTML14271597Grok 4.6
LMArena WebDev: from an imageNot measured1603Only Grok 4.6 measured
Neither model has a result on the other 8 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.2 and Grok 4.6
BenchmarkGPT-5.2Grok 4.6Leader
AA Intelligence Index30.444.3Grok 4.6
Epoch Capabilities Index153.7156.6Grok 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index06
Agentic work benchmarks for GPT-5.2 and Grok 4.6
BenchmarkGPT-5.2Grok 4.6Leader
AA Agentic IndexNot measured53.0Only Grok 4.6 measured
Design Arena: agents building web apps10861247Grok 4.6
Design Arena: agents building full-stack apps10431264Grok 4.6
Design Arena: agents building mobile apps10941234Grok 4.6
Design Arena: agents building Android apps10641297Grok 4.6
Design Arena: agents building Godot games11421276Grok 4.6
Design Arena: agents building gamesNot measured1208Only Grok 4.6 measured
Design Arena: HTML slidesNot measured1249Only Grok 4.6 measured
Design Arena: PowerPoint slidesNot measured1241Only Grok 4.6 measured
LiveBench researchNot measured84.5%Only Grok 4.6 measured
LiveBench browserNot measured64.0%Only Grok 4.6 measured
LiveBench long agenticNot measured40.7%Only Grok 4.6 measured
Finance Agent (Vals AI)Not measured53.7%Only Grok 4.6 measured
Tax Agent Bench (Vals AI)Not measured33.1%Only Grok 4.6 measured
Legal Research Bench (Vals AI)Not measured48.1%Only Grok 4.6 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Grok 4.6 measured
BioMysteryBench (Vals AI)Not measured72.2%Only Grok 4.6 measured
Terminal-Bench-Science (Vals AI)Not measured11.4%Only Grok 4.6 measured
Vals Science IndexNot measured38.1%Only Grok 4.6 measured
Time Horizon Index (Vals AI)Not measured5.8%Only Grok 4.6 measured
τ²-Bench Telecom84.8%Not measuredOnly GPT-5.2 measured
APEX-AgentsNot measured65.3%Only Grok 4.6 measured
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$9,047Grok 4.6
Neither model has a result on the other 12 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index114
Reasoning benchmarks for GPT-5.2 and Grok 4.6
BenchmarkGPT-5.2Grok 4.6Leader
GPQA Diamond91.7%94.7%Grok 4.6
LiveBench reasoningNot measured91.2%Only Grok 4.6 measured
MysteryMechanism (Vals AI)Not measured30.6%Only Grok 4.6 measured
MMMU Pro (Vals AI)86.7%Not measuredOnly GPT-5.2 measured
GPQA Diamond (Artificial Analysis run)90.3%94.9%Grok 4.6
Humanity's Last Exam (Artificial Analysis run)37.7%44.1%Grok 4.6
GPQA Diamond (Epoch AI run)91.4%94.0%Grok 4.6
ARC-AGI86.2%87.5%Grok 4.6
ARC-AGI-252.9%67.1%Grok 4.6
SimpleBench45.8%75.9%Grok 4.6
Chess puzzles48.0%33.0%GPT-5.2
Mystery game puzzles23.0%34.0%Grok 4.6
EBR-bench23.0%30.5%Grok 4.6
VPCT84.0%Not measuredOnly GPT-5.2 measured
LMArena Text: hard prompts14281448Grok 4.6
LMArena Text: expert14451469Grok 4.6
LMArena Text: hard prompts in English14311445Grok 4.6
LMArena Vision: diagrams12651285Grok 4.6
LMArena Vision: homework12761283Grok 4.6
Neither model has a result on the other 2 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for GPT-5.2 and Grok 4.6
BenchmarkGPT-5.2Grok 4.6Leader
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%99.2%Grok 4.6
FrontierMath, tiers 1 to 367.4%66.0%GPT-5.2
FrontierMath, tier 431.7%31.7%Grok 4.6
ProofBench15.0%51.0%Grok 4.6
LMArena Text: math14401417GPT-5.2
LMArena Text: mathematical work14421464Grok 4.6
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index47
Knowledge benchmarks for GPT-5.2 and Grok 4.6
BenchmarkGPT-5.2Grok 4.6Leader
MMLU Pro86.2%89.4%Grok 4.6
LegalBench (Vals AI)82.8%86.3%Grok 4.6
CaseLaw (Vals AI)66.0%Not measuredOnly GPT-5.2 measured
CorpFin (Vals AI)65.9%66.2%Grok 4.6
TaxEval (Vals AI)75.8%71.1%GPT-5.2
MortgageTax (Vals AI)67.1%64.2%GPT-5.2
MedQA (Vals AI)94.1%Not measuredOnly GPT-5.2 measured
MedCode (Vals AI)49.8%44.7%GPT-5.2
MMLU Pro (Artificial Analysis run)87.4%Not measuredOnly GPT-5.2 measured
SimpleQA Verified37.1%49.3%Grok 4.6
LMArena Text: science14251437Grok 4.6
LMArena Text: medicine and healthcare14251420GPT-5.2
LMArena Text: legal and government14271429Grok 4.6
LMArena Text: business and finance14141416Grok 4.6
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GPT-5.2 and Grok 4.6
BenchmarkGPT-5.2Grok 4.6Leader
Design Arena: websites11961289Grok 4.6
Design Arena: UI components11901294Grok 4.6
Design Arena: game dev11961296Grok 4.6
Design Arena: data viz12021283Grok 4.6
Design Arena: 3D10791277Grok 4.6
Design Arena: all code categories11711292Grok 4.6
Design Arena: SVG11371239Grok 4.6
Design Arena: ASCII art11531278Grok 4.6
LiveBench designNot measured79.8%Only Grok 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index525
General benchmarks for GPT-5.2 and Grok 4.6
BenchmarkGPT-5.2Grok 4.6Leader
LiveBench data analysisNot measured75.3%Only Grok 4.6 measured
Public Benefits Bench (Vals AI)Not measured66.8%Only Grok 4.6 measured
SAGE (Vals AI)49.3%28.9%GPT-5.2
MedScribe (Vals AI)84.4%86.5%Grok 4.6
IFBench75.4%Not measuredOnly GPT-5.2 measured
Long context reasoning (AA-LCR)82.7%81.0%GPT-5.2
DTBench90.9%97.3%Grok 4.6
LMCA43.9%48.5%Grok 4.6
CL-bench18.2%Not measuredOnly GPT-5.2 measured
Furniture assembly38.3%40.0%Grok 4.6
LMArena Text14161429Grok 4.6
LMArena Text: instruction following14091431Grok 4.6
LMArena Text: creative writing13761426Grok 4.6
LMArena Vision12461263Grok 4.6
LMArena Text: English14221433Grok 4.6
LMArena Text: non-English14051420Grok 4.6
LMArena Text: Chinese14471476Grok 4.6
LMArena Text: German14441426GPT-5.2
LMArena Text: Japanese14201378GPT-5.2
LMArena Text: Korean13741391Grok 4.6
LMArena Text: French14541455Grok 4.6
LMArena Text: Spanish14131414Grok 4.6
LMArena Text: Russian14151421Grok 4.6
LMArena Text: Polish14261430Grok 4.6
LMArena Text: multi-turn14191425Grok 4.6
LMArena Text: longer queries14131456Grok 4.6
LMArena Text: writing and language13921429Grok 4.6
LMArena Text: entertainment and media13781421Grok 4.6
LMArena Vision: English12431270Grok 4.6
LMArena Vision: Chinese13051289GPT-5.2
LMArena Vision: reading text12571272Grok 4.6
LMArena Vision: humor12271270Grok 4.6
LMArena Vision: captioning1267Not measuredOnly GPT-5.2 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.2 measured
LMArena Vision: creative writing12251262Grok 4.6
LMArena Document14051452Grok 4.6
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 4.6
BenchmarkGPT-5.2Grok 4.6Leader
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 4.6$0.0050Fits in one request

Grok 4.6 costs less

Repository review

50K input + 3K output tokens

GPT-5.2$0.130Fits in one request
Grok 4.6$0.118Fits in one request

Grok 4.6 costs less

Agent loop

200K input + 10K output tokens

GPT-5.2$0.490Fits in one request
Grok 4.6$0.460Fits in one request

Grok 4.6 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 4.6
SpecificationOpenAI GPT-5.2SpaceXAI Grok 4.6
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedDecember 10, 2025August 12, 2026
Context window400K500K
Input $/Mtok$1.75$2.00
Output $/Mtok$14.00$6.00
Coding index58.976.4
Independent measurements behind it22
Cost per solved task$1.91$0.82
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.2 better than Grok 4.6 for coding?

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 58.9 for GPT-5.2. Pick GPT-5.2 when what matters is WeirdML or Chess puzzles, where it leads.

Which is cheaper, GPT-5.2 or Grok 4.6?

GPT-5.2 costs $1.75 per million input tokens and $14.00 per million output tokens; Grok 4.6 costs $2.00 and $6.00. Per solved SWE-bench Verified task, GPT-5.2 costs $1.91 and Grok 4.6 $0.82.

Which has the bigger context window, GPT-5.2 or Grok 4.6?

Grok 4.6, with 500K tokens against 400K.

How many benchmarks is the GPT-5.2 vs Grok 4.6 comparison based on?

87 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 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.

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