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GPT-4o (2024-08-06) vs Grok 4.5

Grok 4.5 leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 38.8 to 7.7, and Grok 4.5 costs 1.7x less per output token ($6.00 vs $10.00 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
1
Grok 4.5xAI
Coding
58.6
Overall
62.1
Output $/M
$6.00
45
vs boards won of 46 shared

GPT-4o (2024-08-06) or Grok 4.5: which to pick

Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; GPT-4o (2024-08-06) has none, so the two cannot be ranked on coding.

Pick GPT-4o (2024-08-06) for work measured by MMMU Pro (Vals AI), where it leads.

Shared results
46
GPT-4o (2024-08-06) only
12
Grok 4.5 only
77
Like-for-like categories
6 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-4o (2024-08-06) not benchmarked, Grok 4.5 58.6 from 6 benchmarks.
Widest category
Math, 52.6 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4o (2024-08-06) 6.4% against Grok 4.5 97.8%, 91.4 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Grok 4.5 $6.00 per million output tokens, 1.7x apart.
Context window
GPT-4o (2024-08-06) takes 128K 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-4o (2024-08-06)BarsGrok 4.5Ties
Coding02
Intelligence01
Reasoning18
Math04
Knowledge010
General020
All shared boards145
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4o (2024-08-06) and Grok 4.5
BenchmarkGPT-4o (2024-08-06)Grok 4.5Leader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LiveBench codingNot measured94.3%Only Grok 4.5 measured
LMArena WebDevNot measured1553Only Grok 4.5 measured
AA Coding IndexNot measured72.4Only Grok 4.5 measured
LiveCodeBench (Vals AI)Not measured87.3%Only Grok 4.5 measured
SWE-bench Verified (Vals AI)Not measured86.6%Only Grok 4.5 measured
Terminal-Bench 4 (Vals AI)Not measured8.6%Only Grok 4.5 measured
Vibe Code Bench (Vals AI)Not measured69.0%Only Grok 4.5 measured
Code migration (Vals AI)Not measured36.6%Only Grok 4.5 measured
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)Not measured67.8%Only Grok 4.5 measured
SkillsBench (Vals AI)Not measured66.0%Only Grok 4.5 measured
CyberBench (Vals AI)Not measured71.0%Only Grok 4.5 measured
LiveCodeBench (Artificial Analysis run)31.7%Not measuredOnly GPT-4o (2024-08-06) measured
SciCodeNot measured55.0%Only Grok 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)8.3%Not measuredOnly GPT-4o (2024-08-06) measured
FrontierCodeNot measured42.4%Only Grok 4.5 measured
WeirdMLNot measured46.4%Only Grok 4.5 measured
ALE-BenchNot measured1309.3Only Grok 4.5 measured
LMArena Text: coding12831474Grok 4.5
LMArena Text: software and IT12781471Grok 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 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and Grok 4.5
BenchmarkGPT-4o (2024-08-06)Grok 4.5Leader
AA Intelligence Index7.738.8Grok 4.5
Epoch Capabilities IndexNot measured154.1Only Grok 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
Agentic work benchmarks for GPT-4o (2024-08-06) and Grok 4.5
BenchmarkGPT-4o (2024-08-06)Grok 4.5Leader
AA Agentic IndexNot measured41.2Only Grok 4.5 measured
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 measured1155Only Grok 4.5 measured
Design Arena: PowerPoint slidesNot measured1209Only 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)Not measured48.4%Only Grok 4.5 measured
Tax Agent Bench (Vals AI)Not measured24.9%Only Grok 4.5 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Grok 4.5 measured
Excel Modeling Benchmark (Vals AI)Not measured52.9%Only Grok 4.5 measured
Time Horizon Index (Vals AI)Not measured6.3%Only Grok 4.5 measured
τ²-Bench Telecom28.9%Not measuredOnly GPT-4o (2024-08-06) 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 index18
Reasoning benchmarks for GPT-4o (2024-08-06) and Grok 4.5
BenchmarkGPT-4o (2024-08-06)Grok 4.5Leader
GPQA DiamondNot measured92.9%Only Grok 4.5 measured
LiveBench reasoningNot measured87.2%Only Grok 4.5 measured
MMMU Pro (Vals AI)64.0%61.8%GPT-4o (2024-08-06)
GPQA Diamond (Artificial Analysis run)52.1%93.1%Grok 4.5
Humanity's Last Exam (Artificial Analysis run)2.3%42.7%Grok 4.5
GPQA Diamond (Epoch AI run)49.2%93.4%Grok 4.5
ARC-AGINot measured87.2%Only Grok 4.5 measured
ARC-AGI-2Not measured52.6%Only Grok 4.5 measured
SimpleBench17.8%70.0%Grok 4.5
Chess puzzles6.0%35.0%Grok 4.5
LMArena Text: hard prompts12641462Grok 4.5
LMArena Text: expert12411465Grok 4.5
LMArena Text: hard prompts in English12771464Grok 4.5
LMArena Vision: diagramsNot measured1304Only Grok 4.5 measured
LMArena Vision: homeworkNot measured1295Only Grok 4.5 measured
Kagi LLM BenchmarkNot measured83.5%Only Grok 4.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4o (2024-08-06) and Grok 4.5
BenchmarkGPT-4o (2024-08-06)Grok 4.5Leader
AIME14.0%Not measuredOnly GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)75.2%Not measuredOnly GPT-4o (2024-08-06) measured
MGSM (Vals AI)90.7%Not measuredOnly GPT-4o (2024-08-06) measured
OTIS Mock AIME6.4%97.8%Grok 4.5
FrontierMath, tiers 1 to 30.4%57.2%Grok 4.5
FrontierMath, tier 4Not measured24.4%Only Grok 4.5 measured
ProofBenchNot measured31.0%Only Grok 4.5 measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math12851460Grok 4.5
LMArena Text: mathematical work12831482Grok 4.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for GPT-4o (2024-08-06) and Grok 4.5
BenchmarkGPT-4o (2024-08-06)Grok 4.5Leader
MMLU Pro74.1%89.2%Grok 4.5
LegalBench (Vals AI)80.1%86.0%Grok 4.5
CorpFin (Vals AI)39.4%67.4%Grok 4.5
TaxEval (Vals AI)71.1%71.7%Grok 4.5
MortgageTax (Vals AI)61.0%61.8%Grok 4.5
MedQA (Vals AI)88.2%Not measuredOnly GPT-4o (2024-08-06) measured
MedCode (Vals AI)Not measured43.3%Only Grok 4.5 measured
SimpleQA Verified26.0%48.3%Grok 4.5
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741464Grok 4.5
LMArena Text: medicine and healthcare12521440Grok 4.5
LMArena Text: legal and government12751463Grok 4.5
LMArena Text: business and finance12321441Grok 4.5
FACTS Benchmark SuiteNot measured50.2%Only Grok 4.5 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Grok 4.5
BenchmarkGPT-4o (2024-08-06)Grok 4.5Leader
Design Arena: websitesNot measured1281Only Grok 4.5 measured
Design Arena: UI componentsNot measured1277Only Grok 4.5 measured
Design Arena: game devNot measured1263Only 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 measured1214Only Grok 4.5 measured
Design Arena: ASCII artNot measured1257Only Grok 4.5 measured
LiveBench designNot measured78.1%Only Grok 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for GPT-4o (2024-08-06) and Grok 4.5
BenchmarkGPT-4o (2024-08-06)Grok 4.5Leader
LiveBench data analysisNot measured73.0%Only Grok 4.5 measured
SAGE (Vals AI)Not measured35.0%Only Grok 4.5 measured
MedScribe (Vals AI)Not measured86.9%Only Grok 4.5 measured
Vals Multimodal IndexNot measured63.4%Only Grok 4.5 measured
IFBench36.0%Not measuredOnly GPT-4o (2024-08-06) measured
Long context reasoning (AA-LCR)41.0%79.3%Grok 4.5
DTBenchNot measured96.5%Only Grok 4.5 measured
LMCANot measured45.2%Only Grok 4.5 measured
Surface Evolver BenchNot measured74.4%Only Grok 4.5 measured
Furniture assemblyNot measured22.5%Only Grok 4.5 measured
LMArena Text12831448Grok 4.5
LMArena Text: instruction following12671445Grok 4.5
LMArena Text: creative writing12741442Grok 4.5
LMArena Vision10651287Grok 4.5
LMArena Text: English12971453Grok 4.5
LMArena Text: non-English12621440Grok 4.5
LMArena Text: Chinese12541495Grok 4.5
LMArena Text: German12571448Grok 4.5
LMArena Text: Japanese12341430Grok 4.5
LMArena Text: Korean12181406Grok 4.5
LMArena Text: French12631457Grok 4.5
LMArena Text: Spanish12691451Grok 4.5
LMArena Text: Russian12721449Grok 4.5
LMArena Text: PolishNot measured1432Only Grok 4.5 measured
LMArena Text: multi-turn12791456Grok 4.5
LMArena Text: longer queries12831462Grok 4.5
LMArena Text: writing and language12901445Grok 4.5
LMArena Text: entertainment and media12671434Grok 4.5
LMArena Vision: English10721285Grok 4.5
LMArena Vision: Chinese10091345Grok 4.5
LMArena Vision: reading textNot measured1293Only Grok 4.5 measured
LMArena Vision: humorNot measured1276Only Grok 4.5 measured
LMArena Vision: creative writingNot measured1293Only Grok 4.5 measured
LMArena DocumentNot measured1452Only Grok 4.5 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-4o (2024-08-06) and Grok 4.5
BenchmarkGPT-4o (2024-08-06)Grok 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-4o (2024-08-06)$0.0075Fits in one request
Grok 4.5$0.0050Fits in one request

Grok 4.5 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
Grok 4.5$0.118Fits in one request

Grok 4.5 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
Grok 4.5$0.460Fits in one request

Grok 4.5 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-4o (2024-08-06) and Grok 4.5
SpecificationOpenAI GPT-4o (2024-08-06)SpaceXAI Grok 4.5
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 6, 2024July 8, 2026
Context window128K500K
Input $/Mtok$2.50$2.00
Output $/Mtok$10.00$6.00
Coding indexNot benchmarked58.6
Independent measurements behind it06
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than Grok 4.5 for coding?

Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; GPT-4o (2024-08-06) has none, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by MMMU Pro (Vals AI), where it leads.

Which is cheaper, GPT-4o (2024-08-06) or Grok 4.5?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Grok 4.5 costs $2.00 and $6.00. Cost per solved task is known for Grok 4.5 only.

Which has the bigger context window, GPT-4o (2024-08-06) or Grok 4.5?

Grok 4.5, with 500K tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs Grok 4.5 comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-08-06)'s coding index rests on 0 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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