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GPT-5.4 Nano vs Grok 4.5

Grok 4.5 leads GPT-5.4 Nano on coding, 58.6 to 44.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 4.8x less per output token ($1.25 vs $6.00 per million). Updated October 22, 2026; 78 benchmarks have a result for both.

GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
4
Grok 4.5xAI
Coding
58.6
Overall
62.1
Output $/M
$6.00
74
vs boards won of 78 shared

GPT-5.4 Nano or Grok 4.5: which to pick

Pick Grok 4.5 for coding: it scores 58.6 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.

Pick GPT-5.4 Nano for output tokens 4.8x cheaper ($1.25 vs $6.00 per million) and a lower cost per solved task ($0.14 against $0.62).

Shared results
78
GPT-5.4 Nano only
7
Grok 4.5 only
45
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-5.4 Nano 44.8 from 2 benchmarks, Grok 4.5 58.6 from 6 benchmarks.
Widest category
Reasoning, 19.2 points apart on average over 14 shared benchmarks.
Widest single gap
ARC-AGI-2: GPT-5.4 Nano 5.7% against Grok 4.5 52.6%, 47.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Grok 4.5 $6.00 per million output tokens, 4.8x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Grok 4.5 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-5.4 NanoBarsGrok 4.5Ties
Coding110
Intelligence02
Agentic work05
Reasoning212
Math06
Knowledge011
General128
All shared boards474
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for GPT-5.4 Nano and Grok 4.5
BenchmarkGPT-5.4 NanoGrok 4.5Leader
LiveBench codingNot measured94.3%Only Grok 4.5 measured
LMArena WebDevNot measured1553Only Grok 4.5 measured
AA Coding Index56.172.4Grok 4.5
LiveCodeBench (Vals AI)84.0%87.3%Grok 4.5
SWE-bench Verified (Vals AI)69.8%86.6%Grok 4.5
Terminal-Bench 4 (Vals AI)Not measured8.6%Only Grok 4.5 measured
Vibe Code Bench (Vals AI)26.1%69.0%Grok 4.5
Code migration (Vals AI)14.5%36.6%Grok 4.5
ProgramBench (Vals AI)Not measured0.0%Only Grok 4.5 measured
IOI (Vals AI)Not measured40.6%Only Grok 4.5 measured
Terminal-Bench 2.1 (Vals AI)41.6%67.8%Grok 4.5
SkillsBench (Vals AI)Not measured66.0%Only Grok 4.5 measured
CyberBench (Vals AI)Not measured71.0%Only Grok 4.5 measured
SciCode47.2%55.0%Grok 4.5
Terminal-Bench Hard (Artificial Analysis run)42.4%Not measuredOnly GPT-5.4 Nano measured
FrontierCodeNot measured42.4%Only Grok 4.5 measured
WeirdML49.2%46.4%GPT-5.4 Nano
ALE-Bench1004.51309.3Grok 4.5
LMArena Text: coding14041474Grok 4.5
LMArena Text: software and IT14021471Grok 4.5
LMArena WebDev: ReactNot measured1556Only Grok 4.5 measured
LMArena WebDev: HTMLNot measured1567Only Grok 4.5 measured
LMArena WebDev: from an imageNot measured1562Only Grok 4.5 measured
SciCodeNot measured6.5%Only Grok 4.5 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.4 Nano and Grok 4.5
BenchmarkGPT-5.4 NanoGrok 4.5Leader
AA Intelligence Index20.738.8Grok 4.5
Epoch Capabilities Index146.0154.1Grok 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for GPT-5.4 Nano and Grok 4.5
BenchmarkGPT-5.4 NanoGrok 4.5Leader
AA Agentic Index16.041.2Grok 4.5
Design Arena: agents building web appsNot measured1218Only Grok 4.5 measured
Design Arena: agents building full-stack appsNot measured1249Only Grok 4.5 measured
Design Arena: agents building mobile appsNot measured1220Only Grok 4.5 measured
Design Arena: agents building Android appsNot measured1236Only Grok 4.5 measured
Design Arena: agents building Godot gamesNot measured1229Only Grok 4.5 measured
Design Arena: agents building gamesNot measured1236Only Grok 4.5 measured
Design Arena: HTML slidesNot measured1205Only Grok 4.5 measured
Design Arena: PowerPoint slidesNot measured1230Only Grok 4.5 measured
LiveBench researchNot measured85.9%Only Grok 4.5 measured
LiveBench browserNot measured44.0%Only Grok 4.5 measured
LiveBench long agenticNot measured27.9%Only Grok 4.5 measured
SREBench (Vals AI)Not measured0.8%Only Grok 4.5 measured
Finance Agent (Vals AI)38.2%48.4%Grok 4.5
Tax Agent Bench (Vals AI)5.0%24.9%Grok 4.5
Legal Research Bench (Vals AI)6.3%38.0%Grok 4.5
Excel Modeling Benchmark (Vals AI)44.8%52.9%Grok 4.5
Time Horizon Index (Vals AI)Not measured6.3%Only Grok 4.5 measured
τ²-Bench Telecom76.0%Not measuredOnly GPT-5.4 Nano measured
APEX-AgentsNot measured56.2%Only Grok 4.5 measured
PostTrainBenchNot measured23.4%Only Grok 4.5 measured
Vending-Bench 2Not measured$3,887Only Grok 4.5 measured
LMArena SearchNot measured1216Only Grok 4.5 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index212
Reasoning benchmarks for GPT-5.4 Nano and Grok 4.5
BenchmarkGPT-5.4 NanoGrok 4.5Leader
GPQA Diamond77.5%92.9%Grok 4.5
LiveBench reasoningNot measured87.2%Only Grok 4.5 measured
MMMU Pro (Vals AI)73.6%61.8%GPT-5.4 Nano
GPQA Diamond (Artificial Analysis run)81.7%93.1%Grok 4.5
Humanity's Last Exam (Artificial Analysis run)28.3%42.7%Grok 4.5
GPQA Diamond (Epoch AI run)78.5%93.4%Grok 4.5
ARC-AGI51.5%87.2%Grok 4.5
ARC-AGI-25.7%52.6%Grok 4.5
SimpleBenchNot measured70.0%Only Grok 4.5 measured
Chess puzzles45.0%35.0%GPT-5.4 Nano
Mystery game puzzles9.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts13811462Grok 4.5
LMArena Text: expert13961465Grok 4.5
LMArena Text: hard prompts in English13871464Grok 4.5
LMArena Vision: diagrams12101304Grok 4.5
LMArena Vision: homework12251295Grok 4.5
Kagi LLM Benchmark39.7%83.5%Grok 4.5
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for GPT-5.4 Nano and Grok 4.5
BenchmarkGPT-5.4 NanoGrok 4.5Leader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
OTIS Mock AIME87.8%97.8%Grok 4.5
FrontierMath, tiers 1 to 344.9%57.2%Grok 4.5
FrontierMath, tier 412.2%24.4%Grok 4.5
ProofBench5.0%31.0%Grok 4.5
LMArena Text: math14051460Grok 4.5
LMArena Text: mathematical work14091482Grok 4.5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011
Knowledge benchmarks for GPT-5.4 Nano and Grok 4.5
BenchmarkGPT-5.4 NanoGrok 4.5Leader
MMLU Pro77.2%89.2%Grok 4.5
LegalBench (Vals AI)77.9%86.0%Grok 4.5
CaseLaw (Vals AI)51.9%Not measuredOnly GPT-5.4 Nano measured
CorpFin (Vals AI)61.2%67.4%Grok 4.5
TaxEval (Vals AI)67.4%71.7%Grok 4.5
MortgageTax (Vals AI)59.1%61.8%Grok 4.5
MedCode (Vals AI)41.0%43.3%Grok 4.5
SimpleQA Verified11.7%48.3%Grok 4.5
LMArena Text: science13741464Grok 4.5
LMArena Text: medicine and healthcare13691440Grok 4.5
LMArena Text: legal and government13681463Grok 4.5
LMArena Text: business and finance13661441Grok 4.5
FACTS Benchmark SuiteNot measured50.2%Only Grok 4.5 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GPT-5.4 Nano and Grok 4.5
BenchmarkGPT-5.4 NanoGrok 4.5Leader
Design Arena: websitesNot measured1281Only Grok 4.5 measured
Design Arena: UI componentsNot measured1280Only Grok 4.5 measured
Design Arena: game devNot measured1264Only Grok 4.5 measured
Design Arena: data vizNot measured1266Only Grok 4.5 measured
Design Arena: 3DNot measured1257Only Grok 4.5 measured
Design Arena: all code categoriesNot measured1275Only Grok 4.5 measured
Design Arena: SVGNot measured1215Only Grok 4.5 measured
Design Arena: ASCII artNot measured1256Only Grok 4.5 measured
LiveBench designNot measured78.1%Only Grok 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index128
General benchmarks for GPT-5.4 Nano and Grok 4.5
BenchmarkGPT-5.4 NanoGrok 4.5Leader
LiveBench data analysisNot measured73.0%Only Grok 4.5 measured
SAGE (Vals AI)38.1%35.0%GPT-5.4 Nano
MedScribe (Vals AI)77.1%86.9%Grok 4.5
Vals Multimodal Index47.6%63.4%Grok 4.5
IFBench75.9%Not measuredOnly GPT-5.4 Nano measured
Long context reasoning (AA-LCR)76.7%79.3%Grok 4.5
DTBench80.3%96.5%Grok 4.5
LMCA36.9%45.2%Grok 4.5
Surface Evolver BenchNot measured74.4%Only Grok 4.5 measured
Furniture assemblyNot measured22.5%Only Grok 4.5 measured
LMArena Text13721448Grok 4.5
LMArena Text: instruction following13621445Grok 4.5
LMArena Text: creative writing13151442Grok 4.5
LMArena Vision11961287Grok 4.5
LMArena Text: English13811453Grok 4.5
LMArena Text: non-English13591440Grok 4.5
LMArena Text: Chinese13911495Grok 4.5
LMArena Text: German13681448Grok 4.5
LMArena Text: Japanese13431430Grok 4.5
LMArena Text: Korean13211406Grok 4.5
LMArena Text: French13951457Grok 4.5
LMArena Text: Spanish13711451Grok 4.5
LMArena Text: Russian13631449Grok 4.5
LMArena Text: Polish13661432Grok 4.5
LMArena Text: multi-turn13821456Grok 4.5
LMArena Text: longer queries13651462Grok 4.5
LMArena Text: writing and language13381445Grok 4.5
LMArena Text: entertainment and media13251434Grok 4.5
LMArena Vision: English12021285Grok 4.5
LMArena Vision: Chinese12321345Grok 4.5
LMArena Vision: reading text12041293Grok 4.5
LMArena Vision: humor11611276Grok 4.5
LMArena Vision: recognizing things1141Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: creative writing11591293Grok 4.5
LMArena DocumentNot measured1452Only Grok 4.5 measured
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-5.4 Nano and Grok 4.5
BenchmarkGPT-5.4 NanoGrok 4.5Leader
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 Nano$0.0008Fits in one request
Grok 4.5$0.0050Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request
Grok 4.5$0.118Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
Grok 4.5$0.460Fits in one request

GPT-5.4 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-5.4 Nano and Grok 4.5
SpecificationOpenAI GPT-5.4 NanoSpaceXAI Grok 4.5
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026July 8, 2026
Context window400K500K
Input $/Mtok$0.20$2.00
Output $/Mtok$1.25$6.00
Coding index44.858.6
Independent measurements behind it26
Cost per solved task$0.14$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Nano better than Grok 4.5 for coding?

Pick Grok 4.5 for coding: it scores 58.6 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. Pick GPT-5.4 Nano for output tokens 4.8x cheaper ($1.25 vs $6.00 per million) and a lower cost per solved task ($0.14 against $0.62).

Which is cheaper, GPT-5.4 Nano or Grok 4.5?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Grok 4.5 costs $2.00 and $6.00. Per solved SWE-bench Verified task, GPT-5.4 Nano costs $0.14 and Grok 4.5 $0.62.

Which has the bigger context window, GPT-5.4 Nano or Grok 4.5?

Grok 4.5, with 500K tokens against 400K.

How many benchmarks is the GPT-5.4 Nano vs Grok 4.5 comparison based on?

78 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Nano's coding index rests on 2 independent benchmarks and Grok 4.5's on 6. Where only one model has a result, the page says so instead of naming a winner.

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