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GPT-5 Nano vs Grok 4.6

Updated October 21, 2026. 67 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5 Nano Replace Grok 4.6
GPT-5 NanoOpenAI
Coding
34.8
Overall
13.0
Output $/M
$0.40
1
Grok 4.6xAI
Coding
76.4
Overall
44.3
Output $/M
$6.00
66
vs boards won of 67 shared

Decision reading

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 34.8 for GPT-5 Nano.

Pick GPT-5 Nano when output tokens cost 15.0x less, or when a solved task costs $0.109 against $0.82.

Model AGPT-5 NanoOpenAI34.8/1001 independent benchmark$0.109 per solved taskModel BGrok 4.6xAI76.4/1002 independent benchmarks$0.82 per solved task
Shared results
67
GPT-5 Nano only
18
Grok 4.6 only
56
Like-for-like categories
7 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 Nano 34.8 from 1 benchmark, Grok 4.6 76.4 from 2 benchmarks.
Widest category
Reasoning, 30.2 points apart on average over 13 shared benchmarks.
Widest single gap
ARC-AGI: GPT-5 Nano 20.7% against Grok 4.6 87.5%, 66.8 points apart on a 0 to 100 scale.
Output price
GPT-5 Nano $0.40 against Grok 4.6 $6.00 per million output tokens, 15.0x apart.
Context window
GPT-5 Nano 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 NanoBarsGrok 4.6Ties
Coding04
Intelligence02
Reasoning013
Math06
Knowledge010
Web design06
General125
All shared boards166
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-5 Nano and Grok 4.6
BenchmarkGPT-5 NanoGrok 4.6Leader
SWE-bench Verified34.8%Not measuredOnly GPT-5 Nano measured
LiveBench codingNot measured89.1%Only Grok 4.6 measured
LMArena WebDevNot measured1617Only Grok 4.6 measured
AA Coding IndexNot measured76.8Only Grok 4.6 measured
LiveCodeBench (Vals AI)70.2%88.2%Grok 4.6
SWE-bench Verified (Vals AI)Not measured95.6%Only Grok 4.6 measured
Terminal-Bench 4 (Vals AI)Not measured17.2%Only Grok 4.6 measured
Vibe Code Bench (Vals AI)Not measured76.2%Only Grok 4.6 measured
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)78.9%Not measuredOnly GPT-5 Nano measured
SciCodeNot measured56.5%Only Grok 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)17.4%Not measuredOnly GPT-5 Nano measured
Terminal-Bench21.8%Not measuredOnly GPT-5 Nano measured
FrontierCodeNot measured48.0%Only Grok 4.6 measured
FrontierSWENot measured25.3%Only Grok 4.6 measured
WeirdML38.1%67.3%Grok 4.6
ALE-BenchNot measured1508.1Only Grok 4.6 measured
LMArena Text: coding13511466Grok 4.6
LMArena Text: software and IT13451457Grok 4.6
LMArena WebDev: ReactNot measured1631Only Grok 4.6 measured
LMArena WebDev: HTMLNot measured1597Only Grok 4.6 measured
LMArena WebDev: from an imageNot measured1603Only Grok 4.6 measured
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5 Nano and Grok 4.6
BenchmarkGPT-5 NanoGrok 4.6Leader
AA Intelligence Index13.044.3Grok 4.6
Epoch Capabilities Index139.2156.6Grok 4.6
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
Agentic work benchmarks for GPT-5 Nano and Grok 4.6
BenchmarkGPT-5 NanoGrok 4.6Leader
AA Agentic IndexNot measured53.0Only Grok 4.6 measured
Design Arena: agents building web appsNot measured1247Only 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 measured1297Only Grok 4.6 measured
Design Arena: agents building Godot gamesNot measured1276Only Grok 4.6 measured
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 Telecom36.5%Not measuredOnly GPT-5 Nano measured
APEX-AgentsNot measured65.3%Only Grok 4.6 measured
Vending-Bench 2Not measured$9,047Only Grok 4.6 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index013
Reasoning benchmarks for GPT-5 Nano and Grok 4.6
BenchmarkGPT-5 NanoGrok 4.6Leader
GPQA Diamond63.4%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)70.9%Not measuredOnly GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)67.6%94.9%Grok 4.6
Humanity's Last Exam (Artificial Analysis run)9.5%44.1%Grok 4.6
GPQA Diamond (Epoch AI run)69.4%94.0%Grok 4.6
ARC-AGI20.7%87.5%Grok 4.6
ARC-AGI-22.6%67.1%Grok 4.6
SimpleBenchNot measured75.9%Only Grok 4.6 measured
Chess puzzles22.0%33.0%Grok 4.6
Mystery game puzzles9.0%34.0%Grok 4.6
EBR-benchNot measured30.5%Only Grok 4.6 measured
VPCT37.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: hard prompts13281448Grok 4.6
LMArena Text: expert13211469Grok 4.6
LMArena Text: hard prompts in English13381445Grok 4.6
LMArena Vision: diagrams11411285Grok 4.6
LMArena Vision: homework11571283Grok 4.6
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 Nano and Grok 4.6
BenchmarkGPT-5 NanoGrok 4.6Leader
AIME81.2%Not measuredOnly GPT-5 Nano measured
MATH 500 (Vals AI)93.8%Not measuredOnly GPT-5 Nano measured
MGSM (Vals AI)89.3%Not measuredOnly GPT-5 Nano measured
AA Math Index83.7Not measuredOnly GPT-5 Nano measured
AIME 2025 (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Nano measured
OTIS Mock AIME81.1%99.2%Grok 4.6
FrontierMath, tiers 1 to 320.0%66.0%Grok 4.6
FrontierMath, tier 42.4%31.7%Grok 4.6
ProofBench12.0%51.0%Grok 4.6
MATH level 595.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: math13171417Grok 4.6
LMArena Text: mathematical work13261464Grok 4.6
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for GPT-5 Nano and Grok 4.6
BenchmarkGPT-5 NanoGrok 4.6Leader
MMLU Pro76.1%89.4%Grok 4.6
LegalBench (Vals AI)50.1%86.3%Grok 4.6
CaseLaw (Vals AI)52.6%Not measuredOnly GPT-5 Nano measured
CorpFin (Vals AI)Not measured66.2%Only Grok 4.6 measured
TaxEval (Vals AI)67.4%71.1%Grok 4.6
MortgageTax (Vals AI)53.6%64.2%Grok 4.6
MedQA (Vals AI)93.3%Not measuredOnly GPT-5 Nano measured
MedCode (Vals AI)30.4%44.7%Grok 4.6
MMLU Pro (Artificial Analysis run)78.0%Not measuredOnly GPT-5 Nano measured
SimpleQA Verified11.7%49.3%Grok 4.6
LMArena Text: science13181437Grok 4.6
LMArena Text: medicine and healthcare13351420Grok 4.6
LMArena Text: legal and government12981429Grok 4.6
LMArena Text: business and finance13111416Grok 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 index06
Web design benchmarks for GPT-5 Nano and Grok 4.6
BenchmarkGPT-5 NanoGrok 4.6Leader
Design Arena: websites11011289Grok 4.6
Design Arena: UI components10661294Grok 4.6
Design Arena: game dev10451296Grok 4.6
Design Arena: data viz10561283Grok 4.6
Design Arena: 3D9661277Grok 4.6
Design Arena: all code categories10841292Grok 4.6
Design Arena: SVGNot measured1239Only Grok 4.6 measured
Design Arena: ASCII artNot measured1278Only Grok 4.6 measured
LiveBench designNot measured79.8%Only Grok 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index125
General benchmarks for GPT-5 Nano and Grok 4.6
BenchmarkGPT-5 NanoGrok 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)30.4%28.9%GPT-5 Nano
MedScribe (Vals AI)72.9%86.5%Grok 4.6
IFBench67.6%Not measuredOnly GPT-5 Nano measured
Long context reasoning (AA-LCR)45.0%81.0%Grok 4.6
DTBench62.7%97.3%Grok 4.6
LMCA7.9%48.5%Grok 4.6
Fiction.LiveBench44.4%Not measuredOnly GPT-5 Nano measured
Furniture assemblyNot measured40.0%Only Grok 4.6 measured
LMArena Text13201429Grok 4.6
LMArena Text: instruction following13061431Grok 4.6
LMArena Text: creative writing12491426Grok 4.6
LMArena Vision11591263Grok 4.6
LMArena Text: English13211433Grok 4.6
LMArena Text: non-English13131420Grok 4.6
LMArena Text: Chinese13561476Grok 4.6
LMArena Text: German13271426Grok 4.6
LMArena Text: Japanese12271378Grok 4.6
LMArena Text: Korean12691391Grok 4.6
LMArena Text: FrenchNot measured1455Only Grok 4.6 measured
LMArena Text: Spanish13601414Grok 4.6
LMArena Text: Russian12961421Grok 4.6
LMArena Text: Polish13141430Grok 4.6
LMArena Text: multi-turn13111425Grok 4.6
LMArena Text: longer queries13121456Grok 4.6
LMArena Text: writing and language12831429Grok 4.6
LMArena Text: entertainment and media12681421Grok 4.6
LMArena Vision: English11701270Grok 4.6
LMArena Vision: Chinese11761289Grok 4.6
LMArena Vision: reading text11521272Grok 4.6
LMArena Vision: humor11101270Grok 4.6
LMArena Vision: creative writingNot measured1262Only Grok 4.6 measured
LMArena DocumentNot measured1452Only Grok 4.6 measured
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-5 Nano and Grok 4.6
BenchmarkGPT-5 NanoGrok 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 Nano$0.0003Fits in one request
Grok 4.6$0.0050Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5 Nano$0.0037Fits in one request
Grok 4.6$0.118Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5 Nano$0.014Fits in one request
Grok 4.6$0.460Fits in one request

GPT-5 Nano 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 Nano and Grok 4.6
SpecificationOpenAI GPT-5 NanoSpaceXAI Grok 4.6
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025August 12, 2026
Context window400K500K
Input $/Mtok$0.05$2.00
Output $/Mtok$0.40$6.00
Coding index34.876.4
Independent measurements behind it12
Cost per solved task$0.109$0.82
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Nano better than Grok 4.6 for coding?

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 34.8 for GPT-5 Nano. Pick GPT-5 Nano when output tokens cost 15.0x less, or when a solved task costs $0.109 against $0.82.

Which is cheaper, GPT-5 Nano or Grok 4.6?

GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens; Grok 4.6 costs $2.00 and $6.00. Per solved SWE-bench Verified task, GPT-5 Nano costs $0.109 and Grok 4.6 $0.82.

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

Grok 4.6, with 500K tokens against 400K.

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

67 benchmarks have a result for both models as of October 21, 2026. GPT-5 Nano's coding index rests on 1 independent benchmark 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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