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GPT-4o (2024-05-13) vs Grok 4.7

Grok 4.7 leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 46.4 to 7.3, and Grok 4.7 costs 2.5x less per output token ($6.00 vs $15.00 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
0
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
35
vs boards won of 35 shared

GPT-4o (2024-05-13) or Grok 4.7: which to pick

Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; GPT-4o (2024-05-13) has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
35
GPT-4o (2024-05-13) only
9
Grok 4.7 only
67
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 (2024-05-13) not benchmarked, Grok 4.7 66.7 from 5 benchmarks.
Widest category
Math, 46.1 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4o (2024-05-13) 6.3% against Grok 4.7 98.1%, 91.8 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-05-13) $15.00 against Grok 4.7 $6.00 per million output tokens, 2.5x apart.
Context window
GPT-4o (2024-05-13) takes 128K tokens, Grok 4.7 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 (2024-05-13)BarsGrok 4.7Ties
Coding02
Intelligence01
Reasoning05
Math03
Knowledge04
General020
All shared boards035
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4o (2024-05-13) and Grok 4.7
BenchmarkGPT-4o (2024-05-13)Grok 4.7Leader
LiveBench codingNot measured84.5%Only Grok 4.7 measured
LMArena WebDevNot measured1637Only Grok 4.7 measured
AA Coding Index24.2Not measuredOnly GPT-4o (2024-05-13) measured
Terminal-Bench 4 (Vals AI)Not measured28.8%Only Grok 4.7 measured
Vibe Code Bench (Vals AI)Not measured86.2%Only Grok 4.7 measured
Code migration (Vals AI)Not measured44.8%Only Grok 4.7 measured
ProgramBench (Vals AI)Not measured0.5%Only Grok 4.7 measured
IOI (Vals AI)Not measured57.7%Only Grok 4.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured73.4%Only Grok 4.7 measured
SWE-bench Multimodal (Vals AI)Not measured42.9%Only Grok 4.7 measured
CyberBench (Vals AI)Not measured69.5%Only Grok 4.7 measured
LiveCodeBench (Artificial Analysis run)33.4%Not measuredOnly GPT-4o (2024-05-13) measured
SciCodeNot measured57.8%Only Grok 4.7 measured
FrontierCodeNot measured47.6%Only Grok 4.7 measured
FrontierSWENot measured29.5%Only Grok 4.7 measured
LMArena Text: coding12971432Grok 4.7
LMArena Text: software and IT12971421Grok 4.7
LMArena WebDev: ReactNot measured1663Only Grok 4.7 measured
LMArena WebDev: HTMLNot measured1627Only Grok 4.7 measured
LMArena WebDev: from an imageNot measured1586Only Grok 4.7 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-05-13) and Grok 4.7
BenchmarkGPT-4o (2024-05-13)Grok 4.7Leader
AA Intelligence Index7.346.4Grok 4.7
Epoch Capabilities IndexNot measured154.4Only Grok 4.7 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for GPT-4o (2024-05-13) and Grok 4.7
BenchmarkGPT-4o (2024-05-13)Grok 4.7Leader
LiveBench researchNot measured86.4%Only Grok 4.7 measured
LiveBench browserNot measured60.0%Only Grok 4.7 measured
LiveBench long agenticNot measured50.1%Only Grok 4.7 measured
SREBench (Vals AI)Not measured3.8%Only Grok 4.7 measured
Finance Agent (Vals AI)Not measured52.3%Only Grok 4.7 measured
Tax Agent Bench (Vals AI)Not measured34.2%Only Grok 4.7 measured
Legal Research Bench (Vals AI)Not measured47.1%Only Grok 4.7 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured18.3%Only Grok 4.7 measured
Excel Modeling Benchmark (Vals AI)Not measured67.0%Only Grok 4.7 measured
BioMysteryBench (Vals AI)Not measured69.3%Only Grok 4.7 measured
Terminal-Bench-Science (Vals AI)Not measured10.0%Only Grok 4.7 measured
Vals Science IndexNot measured34.8%Only Grok 4.7 measured
Robo-bench (Vals AI)Not measured0.2%Only Grok 4.7 measured
APEX-AgentsNot measured54.6%Only Grok 4.7 measured
METR time horizons40.8%Not measuredOnly GPT-4o (2024-05-13) measured
BALROG32.3%Not measuredOnly GPT-4o (2024-05-13) measured
Vending-Bench 2Not measured$10,537Only Grok 4.7 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4o (2024-05-13) and Grok 4.7
BenchmarkGPT-4o (2024-05-13)Grok 4.7Leader
GPQA Diamond50.2%Not measuredOnly GPT-4o (2024-05-13) measured
LiveBench reasoningNot measured82.7%Only Grok 4.7 measured
MysteryMechanism (Vals AI)Not measured25.2%Only Grok 4.7 measured
GPQA Diamond (Artificial Analysis run)52.6%Not measuredOnly GPT-4o (2024-05-13) measured
Humanity's Last Exam (Artificial Analysis run)1.8%43.1%Grok 4.7
GPQA Diamond (Epoch AI run)48.9%92.7%Grok 4.7
ARC-AGINot measured90.2%Only Grok 4.7 measured
ARC-AGI-2Not measured61.4%Only Grok 4.7 measured
Chess puzzlesNot measured41.0%Only Grok 4.7 measured
Mystery game puzzlesNot measured29.0%Only Grok 4.7 measured
LMArena Text: hard prompts12811415Grok 4.7
LMArena Text: expert12501439Grok 4.7
LMArena Text: hard prompts in English12931427Grok 4.7
LMArena Vision: diagramsNot measured1254Only Grok 4.7 measured
LMArena Vision: homeworkNot measured1309Only Grok 4.7 measured
Humanity's Last Exam (Scale run)Not measured23.4%Only Grok 4.7 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4o (2024-05-13) and Grok 4.7
BenchmarkGPT-4o (2024-05-13)Grok 4.7Leader
OTIS Mock AIME6.3%98.1%Grok 4.7
FrontierMath, tiers 1 to 3Not measured53.0%Only Grok 4.7 measured
FrontierMath, tier 4Not measured17.1%Only Grok 4.7 measured
ProofBenchNot measured26.0%Only Grok 4.7 measured
MATH level 551.0%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: math12841414Grok 4.7
LMArena Text: mathematical work12841435Grok 4.7
MathArenaNot measured41.1%Only Grok 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o (2024-05-13) and Grok 4.7
BenchmarkGPT-4o (2024-05-13)Grok 4.7Leader
LegalBench (Vals AI)Not measured84.4%Only Grok 4.7 measured
MedCode (Vals AI)Not measured49.5%Only Grok 4.7 measured
MMLU Pro (Artificial Analysis run)74.0%Not measuredOnly GPT-4o (2024-05-13) measured
SimpleQA VerifiedNot measured56.0%Only Grok 4.7 measured
MMLU84.2%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: science12951419Grok 4.7
LMArena Text: medicine and healthcare12781395Grok 4.7
LMArena Text: legal and government13141423Grok 4.7
LMArena Text: business and finance12621389Grok 4.7
PRBench LegalNot measured47.6%Only Grok 4.7 measured
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GPT-4o (2024-05-13) and Grok 4.7
BenchmarkGPT-4o (2024-05-13)Grok 4.7Leader
Design Arena: websitesNot measured1254Only Grok 4.7 measured
Design Arena: UI componentsNot measured1276Only Grok 4.7 measured
Design Arena: game devNot measured1314Only Grok 4.7 measured
Design Arena: data vizNot measured1238Only Grok 4.7 measured
Design Arena: 3DNot measured1274Only Grok 4.7 measured
Design Arena: all code categoriesNot measured1272Only Grok 4.7 measured
LiveBench designNot measured78.0%Only Grok 4.7 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for GPT-4o (2024-05-13) and Grok 4.7
BenchmarkGPT-4o (2024-05-13)Grok 4.7Leader
Vals IndexNot measured58.6%Only Grok 4.7 measured
LiveBench data analysisNot measured76.9%Only Grok 4.7 measured
Public Benefits Bench (Vals AI)Not measured65.6%Only Grok 4.7 measured
SAGE (Vals AI)Not measured40.8%Only Grok 4.7 measured
MedScribe (Vals AI)Not measured89.4%Only Grok 4.7 measured
Long context reasoning (AA-LCR)Not measured80.0%Only Grok 4.7 measured
DTBenchNot measured96.0%Only Grok 4.7 measured
LMCANot measured49.4%Only Grok 4.7 measured
Furniture assemblyNot measured20.8%Only Grok 4.7 measured
LMArena Text13001399Grok 4.7
LMArena Text: instruction following12781406Grok 4.7
LMArena Text: creative writing12911381Grok 4.7
LMArena Vision11371231Grok 4.7
LMArena Text: English13121411Grok 4.7
LMArena Text: non-English12831386Grok 4.7
LMArena Text: Chinese12771449Grok 4.7
LMArena Text: German12831366Grok 4.7
LMArena Text: Japanese12571359Grok 4.7
LMArena Text: Korean12341383Grok 4.7
LMArena Text: French13041431Grok 4.7
LMArena Text: Spanish12921406Grok 4.7
LMArena Text: Russian12851399Grok 4.7
LMArena Text: Polish13651420Grok 4.7
LMArena Text: multi-turn13021394Grok 4.7
LMArena Text: longer queries12881416Grok 4.7
LMArena Text: writing and language12981394Grok 4.7
LMArena Text: entertainment and media12891376Grok 4.7
LMArena Vision: English11471229Grok 4.7
LMArena Vision: Chinese11321250Grok 4.7
LMArena Vision: reading textNot measured1241Only Grok 4.7 measured
LMArena Vision: creative writingNot measured1217Only Grok 4.7 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-05-13) and Grok 4.7
BenchmarkGPT-4o (2024-05-13)Grok 4.7Leader
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 (2024-05-13)$0.013Fits in one request
Grok 4.7$0.0050Fits in one request

Grok 4.7 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-05-13)$0.295Fits in one request
Grok 4.7$0.118Fits in one request

Grok 4.7 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-05-13)$1.15Exceeds the context window
Grok 4.7$0.460Fits in one request

Grok 4.7 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 (2024-05-13) and Grok 4.7
SpecificationOpenAI GPT-4o (2024-05-13)SpaceXAI Grok 4.7
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 13, 2024September 21, 2026
Context window128K500K
Input $/Mtok$5.00$2.00
Output $/Mtok$15.00$6.00
Coding indexNot benchmarked66.7
Independent measurements behind it05
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-05-13) better than Grok 4.7 for coding?

Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; GPT-4o (2024-05-13) has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-4o (2024-05-13) or Grok 4.7?

GPT-4o (2024-05-13) costs $5.00 per million input tokens and $15.00 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-05-13) or Grok 4.7?

Grok 4.7, with 500K tokens against 128K.

How many benchmarks is the GPT-4o (2024-05-13) vs Grok 4.7 comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-05-13)'s coding index rests on 0 independent benchmarks and Grok 4.7's on 5. Where only one model has a result, the page says so instead of naming a winner.

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