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GPT-6 Sol vs Grok 4.3

GPT-6 Sol leads Grok 4.3 on coding, 76.0 to 37.4 on the Vibe Coding Index, and Grok 4.3 costs 4.0x less per output token ($2.50 vs $10.00 per million). Updated October 21, 2026; 76 benchmarks have a result for both.

GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
62
Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
14
vs boards won of 76 shared

GPT-6 Sol or Grok 4.3: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 37.4 for Grok 4.3.

Pick Grok 4.3 for output tokens 4.0x cheaper ($2.50 vs $10.00 per million) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Shared results
76
GPT-6 Sol only
25
Grok 4.3 only
28
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-6 Sol 76.0 from 5 benchmarks, Grok 4.3 37.4 from 3 benchmarks.
Widest category
Math, 34.9 points apart on average over 6 shared benchmarks.
Widest single gap
Vending-Bench 2: GPT-6 Sol $14,428 against Grok 4.3 $35, 90.0 points apart on a 0 to 100 scale.
Output price
GPT-6 Sol $10.00 against Grok 4.3 $2.50 per million output tokens, 4.0x apart.
Context window
GPT-6 Sol 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-6 SolBarsGrok 4.3Ties
Coding120
Intelligence10
Agentic work80
Reasoning80
Math60
Knowledge33
Web design80
General1611
All shared boards6214
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
Coding benchmarks for GPT-6 Sol and Grok 4.3
BenchmarkGPT-6 SolGrok 4.3Leader
LiveBench coding93.1%Not measuredOnly GPT-6 Sol measured
LMArena WebDev16831358GPT-6 Sol
AA Coding IndexNot measured42.2Only Grok 4.3 measured
LiveCodeBench (Vals AI)Not measured84.5%Only Grok 4.3 measured
SWE-bench Verified (Vals AI)Not measured71.4%Only Grok 4.3 measured
Terminal-Bench 4 (Vals AI)44.4%Not measuredOnly GPT-6 Sol measured
Vibe Code Bench (Vals AI)87.8%19.4%GPT-6 Sol
Code migration (Vals AI)57.2%6.8%GPT-6 Sol
ProgramBench (Vals AI)2.0%0.0%GPT-6 Sol
IOI (Vals AI)82.6%Not measuredOnly GPT-6 Sol measured
Terminal-Bench 2.1 (Vals AI)83.2%42.0%GPT-6 Sol
SkillsBench (Vals AI)Not measured40.6%Only Grok 4.3 measured
CyberBench (Vals AI)78.0%Not measuredOnly GPT-6 Sol measured
SciCode57.6%48.3%GPT-6 Sol
Terminal-Bench Hard (Artificial Analysis run)Not measured37.9%Only Grok 4.3 measured
FrontierCode49.3%Not measuredOnly GPT-6 Sol measured
WeirdMLNot measured49.9%Only Grok 4.3 measured
ALE-Bench2462.0944.2GPT-6 Sol
LMArena Text: coding14481415GPT-6 Sol
LMArena Text: software and IT14331416GPT-6 Sol
LMArena WebDev: React16851353GPT-6 Sol
LMArena WebDev: HTML16851367GPT-6 Sol
LMArena WebDev: from an image16601375GPT-6 Sol
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-6 Sol and Grok 4.3
BenchmarkGPT-6 SolGrok 4.3Leader
AA Intelligence Index47.624.9GPT-6 Sol
Epoch Capabilities Index163.7Not measuredOnly GPT-6 Sol measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index80
Agentic work benchmarks for GPT-6 Sol and Grok 4.3
BenchmarkGPT-6 SolGrok 4.3Leader
AA Agentic IndexNot measured15.5Only Grok 4.3 measured
Design Arena: agents building web apps12311126GPT-6 Sol
Design Arena: agents building full-stack apps12381006GPT-6 Sol
Design Arena: agents building mobile apps12141059GPT-6 Sol
Design Arena: agents building Android appsNot measured961Only 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 measured1008Only Grok 4.3 measured
Design Arena: PowerPoint slidesNot measured1013Only Grok 4.3 measured
LiveBench research69.3%Not measuredOnly GPT-6 Sol measured
LiveBench browser92.0%Not measuredOnly GPT-6 Sol measured
LiveBench long agentic66.9%Not measuredOnly GPT-6 Sol measured
SREBench (Vals AI)30.5%Not measuredOnly GPT-6 Sol measured
Finance Agent (Vals AI)49.0%37.7%GPT-6 Sol
Tax Agent Bench (Vals AI)15.0%6.2%GPT-6 Sol
Legal Research Bench (Vals AI)28.9%15.4%GPT-6 Sol
Excel Modeling Benchmark (Vals AI)71.5%18.4%GPT-6 Sol
BioMysteryBench (Vals AI)74.8%Not measuredOnly GPT-6 Sol measured
Terminal-Bench-Science (Vals AI)30.0%Not measuredOnly GPT-6 Sol measured
Vals Science Index45.0%Not measuredOnly GPT-6 Sol measured
τ²-Bench TelecomNot measured97.7%Only Grok 4.3 measured
APEX-Agents54.3%Not measuredOnly GPT-6 Sol measured
SpireClimb7.5%Not measuredOnly GPT-6 Sol measured
Vending-Bench 2$14,428$35GPT-6 Sol
LMArena SearchNot measured1166Only Grok 4.3 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for GPT-6 Sol and Grok 4.3
BenchmarkGPT-6 SolGrok 4.3Leader
GPQA DiamondNot measured91.4%Only Grok 4.3 measured
LiveBench reasoning88.7%Not measuredOnly GPT-6 Sol measured
MysteryMechanism (Vals AI)30.2%Not measuredOnly GPT-6 Sol measured
MMMU Pro (Vals AI)Not measured83.1%Only Grok 4.3 measured
GPQA Diamond (Artificial Analysis run)Not measured90.1%Only Grok 4.3 measured
Humanity's Last Exam (Artificial Analysis run)47.9%37.2%GPT-6 Sol
GPQA Diamond (Epoch AI run)94.3%88.8%GPT-6 Sol
ARC-AGI95.5%Not measuredOnly GPT-6 Sol measured
ARC-AGI-289.6%Not measuredOnly GPT-6 Sol measured
Chess puzzles56.0%18.0%GPT-6 Sol
Mystery game puzzles56.0%Not measuredOnly GPT-6 Sol measured
EBR-bench53.3%Not measuredOnly GPT-6 Sol measured
LMArena Text: hard prompts14221396GPT-6 Sol
LMArena Text: expert14371384GPT-6 Sol
LMArena Text: hard prompts in English14201402GPT-6 Sol
LMArena Vision: diagrams12701241GPT-6 Sol
LMArena Vision: homework12861241GPT-6 Sol
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for GPT-6 Sol and Grok 4.3
BenchmarkGPT-6 SolGrok 4.3Leader
OTIS Mock AIME100.0%93.3%GPT-6 Sol
FrontierMath, tiers 1 to 389.8%42.8%GPT-6 Sol
FrontierMath, tier 490.0%14.6%GPT-6 Sol
ProofBench83.0%11.0%GPT-6 Sol
LMArena Text: math14071387GPT-6 Sol
LMArena Text: mathematical work14241396GPT-6 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index33
Knowledge benchmarks for GPT-6 Sol and Grok 4.3
BenchmarkGPT-6 SolGrok 4.3Leader
MMLU ProNot measured85.8%Only Grok 4.3 measured
LegalBench (Vals AI)Not measured84.5%Only Grok 4.3 measured
CaseLaw (Vals AI)Not measured79.3%Only Grok 4.3 measured
CorpFin (Vals AI)Not measured68.5%Only Grok 4.3 measured
TaxEval (Vals AI)Not measured70.8%Only Grok 4.3 measured
MortgageTax (Vals AI)Not measured48.3%Only Grok 4.3 measured
MedCode (Vals AI)47.1%38.1%GPT-6 Sol
SimpleQA Verified60.7%33.2%GPT-6 Sol
LMArena Text: science13891399Grok 4.3
LMArena Text: medicine and healthcare13661384Grok 4.3
LMArena Text: legal and government13961386GPT-6 Sol
LMArena Text: business and finance13801381Grok 4.3
FACTS Benchmark Suite72.5%Not measuredOnly GPT-6 Sol measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GPT-6 Sol and Grok 4.3
BenchmarkGPT-6 SolGrok 4.3Leader
Design Arena: websites12921196GPT-6 Sol
Design Arena: UI components12921192GPT-6 Sol
Design Arena: game dev13141174GPT-6 Sol
Design Arena: data viz12691179GPT-6 Sol
Design Arena: 3D13181125GPT-6 Sol
Design Arena: all code categories13011187GPT-6 Sol
Design Arena: SVG13161081GPT-6 Sol
Design Arena: ASCII art12251125GPT-6 Sol
LiveBench design82.2%Not measuredOnly GPT-6 Sol measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index1611
General benchmarks for GPT-6 Sol and Grok 4.3
BenchmarkGPT-6 SolGrok 4.3Leader
LiveBench data analysis81.2%Not measuredOnly GPT-6 Sol measured
Public Benefits Bench (Vals AI)56.6%51.7%GPT-6 Sol
SAGE (Vals AI)44.8%19.7%GPT-6 Sol
MedScribe (Vals AI)82.0%74.4%GPT-6 Sol
Vals Multimodal IndexNot measured43.3%Only Grok 4.3 measured
IFBenchNot measured83.3%Only Grok 4.3 measured
Long context reasoning (AA-LCR)83.7%75.0%GPT-6 Sol
DTBench97.3%90.7%GPT-6 Sol
LMCA59.1%38.3%GPT-6 Sol
Furniture assembly58.3%Not measuredOnly GPT-6 Sol measured
LMArena Text13981397GPT-6 Sol
LMArena Text: instruction following14131366GPT-6 Sol
LMArena Text: creative writing13781380Grok 4.3
LMArena Vision12401229GPT-6 Sol
LMArena Text: English13961404Grok 4.3
LMArena Text: non-English13881385GPT-6 Sol
LMArena Text: Chinese14121422Grok 4.3
LMArena Text: German13791395Grok 4.3
LMArena Text: Japanese13771379Grok 4.3
LMArena Text: Korean13361354Grok 4.3
LMArena Text: French13991411Grok 4.3
LMArena Text: Spanish13871399Grok 4.3
LMArena Text: Russian14021399GPT-6 Sol
LMArena Text: Polish13721398Grok 4.3
LMArena Text: multi-turn14141406GPT-6 Sol
LMArena Text: longer queries14161393GPT-6 Sol
LMArena Text: writing and language13891385GPT-6 Sol
LMArena Text: entertainment and media13731370GPT-6 Sol
LMArena Vision: English12291235Grok 4.3
LMArena Vision: ChineseNot measured1257Only Grok 4.3 measured
LMArena Vision: reading text12581235GPT-6 Sol
LMArena Vision: humorNot measured1222Only Grok 4.3 measured
LMArena Vision: recognizing thingsNot measured1217Only Grok 4.3 measured
LMArena Vision: creative writing12191237Grok 4.3
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6 Sol and Grok 4.3
BenchmarkGPT-6 SolGrok 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-6 Sol$0.0070Fits in one request
Grok 4.3$0.0025Fits in one request

Grok 4.3 costs less

Repository review

50K input + 3K output tokens

GPT-6 Sol$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-6 Sol$0.500Fits 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-6 Sol and Grok 4.3
SpecificationOpenAI GPT-6 SolSpaceXAI Grok 4.3
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 22, 2026April 30, 2026
Context window1.05M1M
Input $/Mtok$2.00$1.25
Output $/Mtok$10.00$2.50
Coding index76.037.4
Independent measurements behind it53
Cost per solved taskNot computable$0.31
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6 Sol better than Grok 4.3 for coding?

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 37.4 for Grok 4.3. Pick Grok 4.3 for output tokens 4.0x cheaper ($2.50 vs $10.00 per million) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, GPT-6 Sol or Grok 4.3?

GPT-6 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Cost per solved task is known for Grok 4.3 only.

Which has the bigger context window, GPT-6 Sol or Grok 4.3?

GPT-6 Sol, with 1.05M tokens against 1M.

How many benchmarks is the GPT-6 Sol vs Grok 4.3 comparison based on?

76 benchmarks have a result for both models as of October 21, 2026. GPT-6 Sol's coding index rests on 5 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-6-sol-vs-grok-4-3">LLMBenchmark.ai, GPT-6 Sol vs Grok 4.3</a></p>