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GPT-5.4 vs Grok 4.3

Updated October 21, 2026. 91 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.4 Replace Grok 4.3
GPT-5.4OpenAI
Coding
37.7
Overall
39.0
Output $/M
$15.00
83
Grok 4.3xAI
Coding
22.5
Overall
24.9
Output $/M
$2.50
8
vs boards won of 91 shared

Decision reading

Pick GPT-5.4 for coding: it scores 37.7 on the Vibe Coding Index against 22.5 for Grok 4.3.

Pick Grok 4.3 when output tokens cost 6.0x less, or when a solved task costs $0.31 against $1.02.

Model AGPT-5.4OpenAI37.7/1001 independent benchmark$1.02 per solved taskModel BGrok 4.3xAI22.5/1001 independent benchmark$0.31 per solved task
Shared results
91
GPT-5.4 only
18
Grok 4.3 only
13
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-5.4 37.7 from 1 benchmark, Grok 4.3 22.5 from 1 benchmark.
Widest category
Math, 25.5 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.4 67.4% against Grok 4.3 19.4%, 48.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 $15.00 against Grok 4.3 $2.50 per million output tokens, 6.0x apart.
Context window
GPT-5.4 takes 1.05M 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-5.4BarsGrok 4.3Ties
Coding151
Intelligence10
Agentic work52
Reasoning110
Math60
Knowledge102
Web design62
General291
All shared boards838
CodingLike-for-likeFour of these boards feed the Vibe Coding Index151
Coding benchmarks for GPT-5.4 and Grok 4.3
BenchmarkGPT-5.4Grok 4.3Leader
LMArena WebDev14641358GPT-5.4
AA Coding Index71.142.2GPT-5.4
LiveCodeBench (Vals AI)84.1%84.5%Grok 4.3
SWE-bench Verified (Vals AI)78.2%71.4%GPT-5.4
Vibe Code Bench (Vals AI)67.4%19.4%GPT-5.4
Code migration (Vals AI)35.0%6.8%GPT-5.4
ProgramBench (Vals AI)0.5%0.0%GPT-5.4
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Grok 4.3 measured
SkillsBench (Vals AI)51.7%40.6%GPT-5.4
SciCodeNot measured48.3%Only Grok 4.3 measured
Terminal-Bench Hard (Artificial Analysis run)57.6%37.9%GPT-5.4
Terminal-Bench81.8%Not measuredOnly GPT-5.4 measured
GSO-Bench31.4%Not measuredOnly GPT-5.4 measured
WeirdML77.7%49.9%GPT-5.4
MirrorCode15.6%Not measuredOnly GPT-5.4 measured
ALE-Bench1607.0944.2GPT-5.4
LMArena Text: coding14961415GPT-5.4
LMArena Text: software and IT14911416GPT-5.4
LMArena WebDev: React14541353GPT-5.4
LMArena WebDev: HTML14781367GPT-5.4
LMArena WebDev: from an image14361375GPT-5.4
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 and Grok 4.3
BenchmarkGPT-5.4Grok 4.3Leader
AA Intelligence Index39.024.9GPT-5.4
Epoch Capabilities Index157.3Not measuredOnly GPT-5.4 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index52
Agentic work benchmarks for GPT-5.4 and Grok 4.3
BenchmarkGPT-5.4Grok 4.3Leader
AA Agentic IndexNot measured15.5Only Grok 4.3 measured
Design Arena: agents building web apps10591126Grok 4.3
Design Arena: agents building full-stack apps10171006GPT-5.4
Design Arena: agents building mobile apps10871059GPT-5.4
Design Arena: agents building Android apps1037967GPT-5.4
Design Arena: agents building Godot games1135914GPT-5.4
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 Telecom87.1%97.7%Grok 4.3
APEX-Agents52.4%Not measuredOnly GPT-5.4 measured
METR time horizons74.3%Not measuredOnly GPT-5.4 measured
DeepResearch Bench35.1%Not measuredOnly GPT-5.4 measured
PostTrainBench19.0%Not measuredOnly GPT-5.4 measured
Vending-Bench 2$6,144$35GPT-5.4
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-5.4 and Grok 4.3
BenchmarkGPT-5.4Grok 4.3Leader
GPQA Diamond91.7%91.4%GPT-5.4
MMMU Pro (Vals AI)87.5%83.1%GPT-5.4
GPQA Diamond (Artificial Analysis run)92.0%90.1%GPT-5.4
Humanity's Last Exam (Artificial Analysis run)43.7%37.2%GPT-5.4
GPQA Diamond (Epoch AI run)93.3%88.8%GPT-5.4
ARC-AGI93.7%Not measuredOnly GPT-5.4 measured
ARC-AGI-274.0%Not measuredOnly GPT-5.4 measured
Chess puzzles48.0%18.0%GPT-5.4
Mystery game puzzles37.0%Not measuredOnly GPT-5.4 measured
EBR-bench25.4%Not measuredOnly GPT-5.4 measured
LMArena Text: hard prompts14851396GPT-5.4
LMArena Text: expert15071384GPT-5.4
LMArena Text: hard prompts in English14791402GPT-5.4
LMArena Vision: diagrams13271241GPT-5.4
LMArena Vision: homework13361241GPT-5.4
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for GPT-5.4 and Grok 4.3
BenchmarkGPT-5.4Grok 4.3Leader
AIME96.7%Not measuredOnly GPT-5.4 measured
OTIS Mock AIME97.8%93.3%GPT-5.4
FrontierMath, tiers 1 to 378.6%42.8%GPT-5.4
FrontierMath, tier 449.0%14.6%GPT-5.4
ProofBench56.0%11.0%GPT-5.4
LMArena Text: math14881387GPT-5.4
LMArena Text: mathematical work14971396GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index102
Knowledge benchmarks for GPT-5.4 and Grok 4.3
BenchmarkGPT-5.4Grok 4.3Leader
MMLU Pro87.5%85.8%GPT-5.4
LegalBench (Vals AI)86.0%84.5%GPT-5.4
CaseLaw (Vals AI)63.8%79.3%Grok 4.3
CorpFin (Vals AI)65.3%68.5%Grok 4.3
TaxEval (Vals AI)74.0%70.8%GPT-5.4
MortgageTax (Vals AI)68.3%48.3%GPT-5.4
MedQA (Vals AI)96.1%Not measuredOnly GPT-5.4 measured
MedCode (Vals AI)41.3%38.1%GPT-5.4
SimpleQA Verified45.1%33.2%GPT-5.4
LMArena Text: science14791399GPT-5.4
LMArena Text: medicine and healthcare14581384GPT-5.4
LMArena Text: legal and government14861386GPT-5.4
LMArena Text: business and finance14741381GPT-5.4
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index62
Web design benchmarks for GPT-5.4 and Grok 4.3
BenchmarkGPT-5.4Grok 4.3Leader
Design Arena: websites11991196GPT-5.4
Design Arena: UI components12151192GPT-5.4
Design Arena: game dev11951174GPT-5.4
Design Arena: data viz11961180GPT-5.4
Design Arena: 3D10651125Grok 4.3
Design Arena: all code categories11801187Grok 4.3
Design Arena: SVG11411081GPT-5.4
Design Arena: ASCII art11881125GPT-5.4
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index291
General benchmarks for GPT-5.4 and Grok 4.3
BenchmarkGPT-5.4Grok 4.3Leader
Public Benefits Bench (Vals AI)Not measured51.7%Only Grok 4.3 measured
SAGE (Vals AI)43.3%19.7%GPT-5.4
MedScribe (Vals AI)77.5%74.4%GPT-5.4
Vals Multimodal IndexNot measured43.3%Only Grok 4.3 measured
IFBench73.9%83.3%Grok 4.3
Long context reasoning (AA-LCR)82.0%75.0%GPT-5.4
DTBench94.4%90.7%GPT-5.4
LMCA52.0%38.3%GPT-5.4
CL-bench27.9%Not measuredOnly GPT-5.4 measured
Furniture assembly37.5%Not measuredOnly GPT-5.4 measured
CL-bench Life21.7%Not measuredOnly GPT-5.4 measured
LMArena Text14691397GPT-5.4
LMArena Text: instruction following14691366GPT-5.4
LMArena Text: creative writing14391380GPT-5.4
LMArena Vision13031229GPT-5.4
LMArena Text: English14671404GPT-5.4
LMArena Text: non-English14651385GPT-5.4
LMArena Text: Chinese15201422GPT-5.4
LMArena Text: German14721395GPT-5.4
LMArena Text: Japanese14851379GPT-5.4
LMArena Text: Korean14491354GPT-5.4
LMArena Text: French14931411GPT-5.4
LMArena Text: Spanish14521399GPT-5.4
LMArena Text: Russian14801399GPT-5.4
LMArena Text: Polish14721398GPT-5.4
LMArena Text: multi-turn14821406GPT-5.4
LMArena Text: longer queries14731393GPT-5.4
LMArena Text: writing and language14581385GPT-5.4
LMArena Text: entertainment and media14381370GPT-5.4
LMArena Vision: English13011235GPT-5.4
LMArena Vision: Chinese13541257GPT-5.4
LMArena Vision: reading text13121235GPT-5.4
LMArena Vision: humor12841222GPT-5.4
LMArena Vision: recognizing things12511217GPT-5.4
LMArena Vision: creative writing12831237GPT-5.4
LMArena Document1471Not measuredOnly GPT-5.4 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-5.4 and Grok 4.3
BenchmarkGPT-5.4Grok 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-5.4$0.010Fits in one request
Grok 4.3$0.0025Fits in one request

Grok 4.3 costs less

Repository review

50K input + 3K output tokens

GPT-5.4$0.170Fits in one request
Grok 4.3$0.070Fits in one request

Grok 4.3 costs less

Agent loop

200K input + 10K output tokens

GPT-5.4$0.650Fits 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-5.4 and Grok 4.3
SpecificationOpenAI GPT-5.4SpaceXAI Grok 4.3
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 5, 2026April 30, 2026
Context window1.05M1M
Input $/Mtok$2.50$1.25
Output $/Mtok$15.00$2.50
Coding index37.722.5
Independent measurements behind it11
Cost per solved task$1.02$0.31
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 better than Grok 4.3 for coding?

Pick GPT-5.4 for coding: it scores 37.7 on the Vibe Coding Index against 22.5 for Grok 4.3. Pick Grok 4.3 when output tokens cost 6.0x less, or when a solved task costs $0.31 against $1.02.

Which is cheaper, GPT-5.4 or Grok 4.3?

GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Per solved SWE-bench Verified task, GPT-5.4 costs $1.02 and Grok 4.3 $0.31.

Which has the bigger context window, GPT-5.4 or Grok 4.3?

GPT-5.4, with 1.05M tokens against 1M.

How many benchmarks is the GPT-5.4 vs Grok 4.3 comparison based on?

91 benchmarks have a result for both models as of October 21, 2026. GPT-5.4's coding index rests on 1 independent benchmark and Grok 4.3's on 1. Where only one model has a result, the page says so instead of naming a winner.

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