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GPT-5 vs Grok 4.6

Grok 4.6 leads GPT-5 on coding, 65.7 to 38.8 on the Vibe Coding Index, and Grok 4.6 costs 1.7x less per output token ($6.00 vs $10.00 per million). Updated October 22, 2026; 80 benchmarks have a result for both.

GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
10
Grok 4.6xAI
Coding
65.7
Overall
67.4
Output $/M
$6.00
70
vs boards won of 80 shared

GPT-5 or Grok 4.6: which to pick

Pick Grok 4.6 for coding: it scores 65.7 on the Vibe Coding Index against 38.8 for GPT-5.

Pick GPT-5 for a lower cost per solved task ($0.39 against $0.82) and work measured by Chess puzzles or TaxEval (Vals AI), where it leads.

Shared results
80
GPT-5 only
33
Grok 4.6 only
43
Like-for-like categories
7 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 38.8 from 3 benchmarks, Grok 4.6 65.7 from 6 benchmarks.
Widest category
Coding, 22.2 points apart on average over 10 shared benchmarks.
Widest single gap
ARC-AGI-2: GPT-5 9.9% against Grok 4.6 67.1%, 57.2 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Grok 4.6 $6.00 per million output tokens, 1.7x apart.
Context window
GPT-5 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-5BarsGrok 4.6Ties
Coding010
Intelligence02
Reasoning114
Math06
Knowledge56
Web design08
General424
All shared boards1070
CodingLike-for-likeSix of these boards feed the Vibe Coding Index010
Coding benchmarks for GPT-5 and Grok 4.6
BenchmarkGPT-5Grok 4.6Leader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LiveBench codingNot measured89.1%Only Grok 4.6 measured
LMArena WebDev14181617Grok 4.6
AA Coding Index37.876.8Grok 4.6
LiveCodeBench (Vals AI)85.9%88.2%Grok 4.6
SWE-bench Verified (Vals AI)69.0%95.6%Grok 4.6
Terminal-Bench 4 (Vals AI)Not measured17.2%Only Grok 4.6 measured
Vibe Code Bench (Vals AI)20.1%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)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured56.5%Only Grok 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%Not measuredOnly GPT-5 measured
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
FrontierCodeNot measured48.0%Only Grok 4.6 measured
FrontierSWENot measured25.3%Only Grok 4.6 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%67.3%Grok 4.6
ALE-Bench807.61508.1Grok 4.6
LMArena Text: coding14361466Grok 4.6
LMArena Text: software and IT14201457Grok 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
SciCode0.0%Not measuredOnly GPT-5 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 and Grok 4.6
BenchmarkGPT-5Grok 4.6Leader
AA Intelligence Index23.044.3Grok 4.6
Epoch Capabilities Index150.0156.6Grok 4.6
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index29 boards, none shared
Agentic work benchmarks for GPT-5 and Grok 4.6
BenchmarkGPT-5Grok 4.6Leader
AA Agentic IndexNot measured53.0Only Grok 4.6 measured
Design Arena: agents building web appsNot measured1248Only Grok 4.6 measured
Design Arena: agents building full-stack appsNot measured1264Only Grok 4.6 measured
Design Arena: agents building mobile appsNot measured1234Only Grok 4.6 measured
Design Arena: agents building Android appsNot measured1291Only Grok 4.6 measured
Design Arena: agents building Godot gamesNot measured1276Only Grok 4.6 measured
Design Arena: agents building gamesNot measured1209Only Grok 4.6 measured
Design Arena: HTML slidesNot measured1250Only Grok 4.6 measured
Design Arena: PowerPoint slidesNot measured1237Only 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 Telecom86.5%Not measuredOnly GPT-5 measured
APEX-AgentsNot measured65.3%Only Grok 4.6 measured
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
Vending-Bench 2Not measured$9,047Only Grok 4.6 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
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 and Grok 4.6
BenchmarkGPT-5Grok 4.6Leader
GPQA Diamond85.6%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)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%94.9%Grok 4.6
Humanity's Last Exam (Artificial Analysis run)28.5%44.1%Grok 4.6
GPQA Diamond (Epoch AI run)86.2%94.0%Grok 4.6
ARC-AGI65.7%87.5%Grok 4.6
ARC-AGI-29.9%67.1%Grok 4.6
SimpleBench56.7%75.9%Grok 4.6
Chess puzzles36.0%33.0%GPT-5
Mystery game puzzles23.0%34.0%Grok 4.6
EBR-bench12.7%30.5%Grok 4.6
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151448Grok 4.6
LMArena Text: expert14191469Grok 4.6
LMArena Text: hard prompts in English14191445Grok 4.6
LMArena Vision: diagrams12521285Grok 4.6
LMArena Vision: homework12781283Grok 4.6
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for GPT-5 and Grok 4.6
BenchmarkGPT-5Grok 4.6Leader
AIME93.4%Not measuredOnly GPT-5 measured
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%99.2%Grok 4.6
FrontierMath, tiers 1 to 355.4%66.0%Grok 4.6
FrontierMath, tier 422.0%31.7%Grok 4.6
ProofBench18.0%51.0%Grok 4.6
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071417Grok 4.6
LMArena Text: mathematical work14051464Grok 4.6
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index56
Knowledge benchmarks for GPT-5 and Grok 4.6
BenchmarkGPT-5Grok 4.6Leader
MMLU Pro86.5%89.4%Grok 4.6
LegalBench (Vals AI)86.0%86.3%Grok 4.6
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%66.2%Grok 4.6
TaxEval (Vals AI)73.4%71.1%GPT-5
MortgageTax (Vals AI)65.5%64.2%GPT-5
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%44.7%GPT-5
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%49.3%GPT-5
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161437Grok 4.6
LMArena Text: medicine and healthcare14131420Grok 4.6
LMArena Text: legal and government14311429GPT-5
LMArena Text: business and finance14001416Grok 4.6
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GPT-5 and Grok 4.6
BenchmarkGPT-5Grok 4.6Leader
Design Arena: websites11841289Grok 4.6
Design Arena: UI components11771294Grok 4.6
Design Arena: game dev11851296Grok 4.6
Design Arena: data viz12211282Grok 4.6
Design Arena: 3D10551277Grok 4.6
Design Arena: all code categories11671292Grok 4.6
Design Arena: SVG11881240Grok 4.6
Design Arena: ASCII art11411279Grok 4.6
LiveBench designNot measured79.8%Only Grok 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index424
General benchmarks for GPT-5 and Grok 4.6
BenchmarkGPT-5Grok 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)43.7%28.9%GPT-5
MedScribe (Vals AI)83.7%86.5%Grok 4.6
IFBench73.1%Not measuredOnly GPT-5 measured
Long context reasoning (AA-LCR)78.2%81.0%Grok 4.6
DTBench90.7%97.3%Grok 4.6
LMCA40.0%48.5%Grok 4.6
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
Furniture assemblyNot measured40.0%Only Grok 4.6 measured
LMArena Text14061429Grok 4.6
LMArena Text: instruction following13881431Grok 4.6
LMArena Text: creative writing13651426Grok 4.6
LMArena Vision12321263Grok 4.6
LMArena Text: English14091433Grok 4.6
LMArena Text: non-English13971420Grok 4.6
LMArena Text: Chinese14221476Grok 4.6
LMArena Text: German14161426Grok 4.6
LMArena Text: Japanese14091378GPT-5
LMArena Text: Korean13601391Grok 4.6
LMArena Text: French14091455Grok 4.6
LMArena Text: Spanish13991414Grok 4.6
LMArena Text: Russian14071421Grok 4.6
LMArena Text: Polish14311430GPT-5
LMArena Text: multi-turn14261425GPT-5
LMArena Text: longer queries13991456Grok 4.6
LMArena Text: writing and language13841429Grok 4.6
LMArena Text: entertainment and media13791421Grok 4.6
LMArena Vision: English12311270Grok 4.6
LMArena Vision: Chinese12671289Grok 4.6
LMArena Vision: reading text12461272Grok 4.6
LMArena Vision: humor12191270Grok 4.6
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing12101262Grok 4.6
LMArena DocumentNot measured1452Only Grok 4.6 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 and Grok 4.6
BenchmarkGPT-5Grok 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$0.0063Fits 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$0.092Fits in one request
Grok 4.6$0.118Fits in one request

GPT-5 costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
Grok 4.6$0.460Fits in one request

GPT-5 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 and Grok 4.6
SpecificationOpenAI GPT-5SpaceXAI Grok 4.6
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025August 12, 2026
Context window400K500K
Input $/Mtok$1.25$2.00
Output $/Mtok$10.00$6.00
Coding index38.865.7
Independent measurements behind it36
Cost per solved task$0.39$0.82
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than Grok 4.6 for coding?

Pick Grok 4.6 for coding: it scores 65.7 on the Vibe Coding Index against 38.8 for GPT-5. Pick GPT-5 for a lower cost per solved task ($0.39 against $0.82) and work measured by Chess puzzles or TaxEval (Vals AI), where it leads.

Which is cheaper, GPT-5 or Grok 4.6?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; Grok 4.6 costs $2.00 and $6.00. Per solved SWE-bench Verified task, GPT-5 costs $0.39 and Grok 4.6 $0.82.

Which has the bigger context window, GPT-5 or Grok 4.6?

Grok 4.6, with 500K tokens against 400K.

How many benchmarks is the GPT-5 vs Grok 4.6 comparison based on?

80 benchmarks have a result for both models as of October 22, 2026. GPT-5's coding index rests on 3 independent benchmarks and Grok 4.6's on 6. Where only one model has a result, the page says so instead of naming a winner.

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