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GPT-5 Mini vs Grok 4.3

Grok 4.3 leads GPT-5 Mini on coding, 37.4 to 34.2 on the Vibe Coding Index, and GPT-5 Mini costs 1.3x less per output token ($2.00 vs $2.50 per million). Updated October 22, 2026; 78 benchmarks have a result for both.

GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
11
Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
66
vs boards won of 78 shared, 1 tied

GPT-5 Mini or Grok 4.3: which to pick

Pick Grok 4.3 for coding: it scores 37.4 on the Vibe Coding Index against 34.2 for GPT-5 Mini.

Pick GPT-5 Mini for output tokens 1.3x cheaper ($2.00 vs $2.50 per million) and a lower cost per solved task ($0.08 against $0.31).

Shared results
78
GPT-5 Mini only
23
Grok 4.3 only
27
Like-for-like categories
8 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 Mini 34.2 from 2 benchmarks, Grok 4.3 37.4 from 3 benchmarks.
Widest category
Agentic work, 13.4 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: GPT-5 Mini 71.1% against Grok 4.3 97.7%, 26.6 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against Grok 4.3 $2.50 per million output tokens, 1.3x apart.
Context window
GPT-5 Mini 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 MiniBarsGrok 4.3Ties
Coding26
Intelligence01
Agentic work02
Reasoning110
Math15
Knowledge39
Web design161 tie
General327
All shared boards11661 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index26
Coding benchmarks for GPT-5 Mini and Grok 4.3
BenchmarkGPT-5 MiniGrok 4.3Leader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LMArena WebDevNot measured1358Only Grok 4.3 measured
AA Coding IndexNot measured42.2Only Grok 4.3 measured
LiveCodeBench (Vals AI)86.6%84.5%GPT-5 Mini
SWE-bench Verified (Vals AI)60.8%71.4%Grok 4.3
Vibe Code Bench (Vals AI)14.2%19.4%Grok 4.3
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)83.8%Not measuredOnly GPT-5 Mini measured
SciCode39.0%48.3%Grok 4.3
Terminal-Bench Hard (Artificial Analysis run)33.3%37.9%Grok 4.3
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
WeirdML52.7%49.9%GPT-5 Mini
ALE-BenchNot measured944.2Only Grok 4.3 measured
LMArena Text: coding14061415Grok 4.3
LMArena Text: software and IT13941416Grok 4.3
LMArena WebDev: ReactNot measured1353Only Grok 4.3 measured
LMArena WebDev: HTMLNot measured1367Only Grok 4.3 measured
LMArena WebDev: from an imageNot measured1375Only Grok 4.3 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-5 Mini and Grok 4.3
BenchmarkGPT-5 MiniGrok 4.3Leader
AA Intelligence Index20.624.9Grok 4.3
Epoch Capabilities Index145.3Not measuredOnly GPT-5 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for GPT-5 Mini and Grok 4.3
BenchmarkGPT-5 MiniGrok 4.3Leader
AA Agentic IndexNot measured15.5Only Grok 4.3 measured
Design Arena: agents building web appsNot measured1126Only Grok 4.3 measured
Design Arena: agents building full-stack appsNot measured1006Only Grok 4.3 measured
Design Arena: agents building mobile appsNot measured1058Only Grok 4.3 measured
Design Arena: agents building Android appsNot measured962Only Grok 4.3 measured
Design Arena: agents building Godot gamesNot measured914Only Grok 4.3 measured
Design Arena: agents building gamesNot measured1007Only Grok 4.3 measured
Design Arena: HTML slidesNot measured959Only Grok 4.3 measured
Design Arena: PowerPoint slidesNot measured988Only Grok 4.3 measured
Design Arena: spreadsheetsNot measured879Only 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 Telecom71.1%97.7%Grok 4.3
Vending-Bench 2-$31$35Grok 4.3
LMArena SearchNot measured1166Only Grok 4.3 measured
Berkeley Function Calling Leaderboard (BFCL)55.5%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for GPT-5 Mini and Grok 4.3
BenchmarkGPT-5 MiniGrok 4.3Leader
GPQA Diamond80.3%91.4%Grok 4.3
MMMU Pro (Vals AI)78.9%83.1%Grok 4.3
GPQA Diamond (Artificial Analysis run)82.8%90.1%Grok 4.3
Humanity's Last Exam (Artificial Analysis run)21.5%37.2%Grok 4.3
GPQA Diamond (Epoch AI run)75.0%88.8%Grok 4.3
ARC-AGI54.3%Not measuredOnly GPT-5 Mini measured
ARC-AGI-24.4%Not measuredOnly GPT-5 Mini measured
Chess puzzles24.0%18.0%GPT-5 Mini
Mystery game puzzles10.0%Not measuredOnly GPT-5 Mini measured
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts13801396Grok 4.3
LMArena Text: expert13791384Grok 4.3
LMArena Text: hard prompts in English13831402Grok 4.3
LMArena Vision: diagrams12021241Grok 4.3
LMArena Vision: homework12101241Grok 4.3
Kagi LLM Benchmark70.3%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for GPT-5 Mini and Grok 4.3
BenchmarkGPT-5 MiniGrok 4.3Leader
AIME91.5%Not measuredOnly GPT-5 Mini measured
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.7Not measuredOnly GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly GPT-5 Mini measured
OTIS Mock AIME86.7%93.3%Grok 4.3
FrontierMath, tiers 1 to 346.7%42.8%GPT-5 Mini
FrontierMath, tier 412.2%14.6%Grok 4.3
ProofBench9.0%11.0%Grok 4.3
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781387Grok 4.3
LMArena Text: mathematical work13801396Grok 4.3
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index39
Knowledge benchmarks for GPT-5 Mini and Grok 4.3
BenchmarkGPT-5 MiniGrok 4.3Leader
MMLU Pro82.2%85.8%Grok 4.3
LegalBench (Vals AI)81.8%84.5%Grok 4.3
CaseLaw (Vals AI)68.5%79.3%Grok 4.3
CorpFin (Vals AI)60.2%68.5%Grok 4.3
TaxEval (Vals AI)75.2%70.8%GPT-5 Mini
MortgageTax (Vals AI)66.9%48.3%GPT-5 Mini
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%38.1%GPT-5 Mini
MMLU Pro (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Mini measured
SimpleQA Verified21.6%33.2%Grok 4.3
LMArena Text: science13711399Grok 4.3
LMArena Text: medicine and healthcare13801384Grok 4.3
LMArena Text: legal and government13751386Grok 4.3
LMArena Text: business and finance13581381Grok 4.3
FACTS Benchmark Suite38.6%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for GPT-5 Mini and Grok 4.3
BenchmarkGPT-5 MiniGrok 4.3Leader
Design Arena: websites11251196Grok 4.3
Design Arena: UI components11031190Grok 4.3
Design Arena: game dev11291173Grok 4.3
Design Arena: data viz11311179Grok 4.3
Design Arena: 3D10361124Grok 4.3
Design Arena: all code categories11141186Grok 4.3
Design Arena: SVG10911080GPT-5 Mini
Design Arena: ASCII art11251125Tie
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index327
General benchmarks for GPT-5 Mini and Grok 4.3
BenchmarkGPT-5 MiniGrok 4.3Leader
Public Benefits Bench (Vals AI)Not measured51.7%Only Grok 4.3 measured
SAGE (Vals AI)43.0%19.7%GPT-5 Mini
MedScribe (Vals AI)80.6%74.4%GPT-5 Mini
Vals Multimodal IndexNot measured43.3%Only Grok 4.3 measured
IFBench75.4%83.3%Grok 4.3
Long context reasoning (AA-LCR)72.3%75.0%Grok 4.3
DTBench80.5%90.7%Grok 4.3
LMCA34.2%38.3%Grok 4.3
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
LMArena Text13731397Grok 4.3
LMArena Text: instruction following13571366Grok 4.3
LMArena Text: creative writing13251380Grok 4.3
LMArena Vision12021229Grok 4.3
LMArena Text: English13791404Grok 4.3
LMArena Text: non-English13631385Grok 4.3
LMArena Text: Chinese13861422Grok 4.3
LMArena Text: German13661395Grok 4.3
LMArena Text: Japanese13411379Grok 4.3
LMArena Text: Korean13081354Grok 4.3
LMArena Text: French13861411Grok 4.3
LMArena Text: Spanish13541399Grok 4.3
LMArena Text: Russian13621399Grok 4.3
LMArena Text: Polish13781398Grok 4.3
LMArena Text: multi-turn13631406Grok 4.3
LMArena Text: longer queries13551393Grok 4.3
LMArena Text: writing and language13441385Grok 4.3
LMArena Text: entertainment and media13401370Grok 4.3
LMArena Vision: English12161235Grok 4.3
LMArena Vision: Chinese12141257Grok 4.3
LMArena Vision: reading text11991235Grok 4.3
LMArena Vision: humor12051222Grok 4.3
LMArena Vision: captioning1217Not measuredOnly GPT-5 Mini measured
LMArena Vision: recognizing things12261217GPT-5 Mini
LMArena Vision: creative writing11811237Grok 4.3
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 Mini and Grok 4.3
BenchmarkGPT-5 MiniGrok 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 Mini$0.0013Fits in one request
Grok 4.3$0.0025Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5 Mini$0.018Fits in one request
Grok 4.3$0.070Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5 Mini$0.070Fits in one request
Grok 4.3$0.275Fits in one request

GPT-5 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 Mini and Grok 4.3
SpecificationOpenAI GPT-5 MiniSpaceXAI Grok 4.3
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025April 30, 2026
Context window400K1M
Input $/Mtok$0.25$1.25
Output $/Mtok$2.00$2.50
Coding index34.237.4
Independent measurements behind it23
Cost per solved task$0.08$0.31
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Mini better than Grok 4.3 for coding?

Pick Grok 4.3 for coding: it scores 37.4 on the Vibe Coding Index against 34.2 for GPT-5 Mini. Pick GPT-5 Mini for output tokens 1.3x cheaper ($2.00 vs $2.50 per million) and a lower cost per solved task ($0.08 against $0.31).

Which is cheaper, GPT-5 Mini or Grok 4.3?

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Per solved SWE-bench Verified task, GPT-5 Mini costs $0.08 and Grok 4.3 $0.31.

Which has the bigger context window, GPT-5 Mini or Grok 4.3?

Grok 4.3, with 1M tokens against 400K.

How many benchmarks is the GPT-5 Mini vs Grok 4.3 comparison based on?

78 benchmarks have a result for both models as of October 22, 2026. GPT-5 Mini's coding index rests on 2 independent benchmarks and Grok 4.3's on 3. Where only one model has a result, the page says so instead of naming a winner.

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