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GPT-5.5 vs Grok 4.7

GPT-5.5 leads Grok 4.7 on coding, 71.3 to 66.7 on the Vibe Coding Index, and Grok 4.7 costs 5.0x less per output token ($6.00 vs $30.00 per million). Updated October 22, 2026; 87 benchmarks have a result for both.

Replace GPT-5.5 Replace Grok 4.7
GPT-5.5OpenAI
Coding
71.3
Overall
69.2
Output $/M
$30.00
58
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
26
vs boards won of 87 shared, 3 tied

GPT-5.5 or Grok 4.7: which to pick

Pick GPT-5.5 for coding: it scores 71.3 on the Vibe Coding Index against 66.7 for Grok 4.7.

Pick Grok 4.7 for output tokens 5.0x cheaper ($6.00 vs $30.00 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.

Model AGPT-5.5OpenAI71.3/1005 independent benchmarks$1.65 per solved taskModel BGrok 4.7xAI66.7/1005 independent benchmarksNo cost per solved task
Shared results
87
GPT-5.5 only
47
Grok 4.7 only
12
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-5.5 71.3 from 5 benchmarks, Grok 4.7 66.7 from 5 benchmarks.
Widest category
Math, 24.6 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: GPT-5.5 72.5% against Grok 4.7 17.1%, 55.4 points apart on a 0 to 100 scale.
Output price
GPT-5.5 $30.00 against Grok 4.7 $6.00 per million output tokens, 5.0x apart.
Context window
GPT-5.5 takes 1.05M 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-5.5BarsGrok 4.7Ties
Coding571 tie
Intelligence11
Agentic work181 tie
Reasoning111
Math51
Knowledge61
Web design25
General2721 tie
All shared boards58263 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index57
Coding benchmarks for GPT-5.5 and Grok 4.7
BenchmarkGPT-5.5Grok 4.7Leader
LiveBench coding85.1%84.5%GPT-5.5
LMArena WebDev15131637Grok 4.7
AA Coding Index74.9Not measuredOnly GPT-5.5 measured
LiveCodeBench (Vals AI)85.3%Not measuredOnly GPT-5.5 measured
SWE-bench Verified (Vals AI)82.6%Not measuredOnly GPT-5.5 measured
Terminal-Bench 4 (Vals AI)Not measured28.8%Only Grok 4.7 measured
Vibe Code Bench (Vals AI)69.8%86.2%Grok 4.7
Code migration (Vals AI)45.2%44.8%GPT-5.5
ProgramBench (Vals AI)0.5%0.5%Tie
IOI (Vals AI)Not measured57.7%Only Grok 4.7 measured
Terminal-Bench 2.1 (Vals AI)76.4%73.4%GPT-5.5
SWE-bench Multimodal (Vals AI)Not measured42.9%Only Grok 4.7 measured
SkillsBench (Vals AI)62.5%Not measuredOnly GPT-5.5 measured
CyberBench (Vals AI)Not measured69.5%Only Grok 4.7 measured
SciCode56.1%57.8%Grok 4.7
Terminal-Bench Hard (Artificial Analysis run)60.6%Not measuredOnly GPT-5.5 measured
Terminal-Bench84.7%Not measuredOnly GPT-5.5 measured
FrontierCode43.0%47.6%Grok 4.7
FrontierSWENot measured29.5%Only Grok 4.7 measured
GSO-Bench40.2%Not measuredOnly GPT-5.5 measured
WeirdML84.9%Not measuredOnly GPT-5.5 measured
MirrorCode10.0%Not measuredOnly GPT-5.5 measured
ALE-Bench1943.0Not measuredOnly GPT-5.5 measured
LMArena Text: coding14941432GPT-5.5
LMArena Text: software and IT14931421GPT-5.5
LMArena WebDev: React15061663Grok 4.7
LMArena WebDev: HTML15431627Grok 4.7
LMArena WebDev: from an image15321586Grok 4.7
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-5.5 and Grok 4.7
BenchmarkGPT-5.5Grok 4.7Leader
AA Intelligence Index38.446.4Grok 4.7
Epoch Capabilities Index159.7154.4GPT-5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index18
Agentic work benchmarks for GPT-5.5 and Grok 4.7
BenchmarkGPT-5.5Grok 4.7Leader
AA Agentic Index36.4Not measuredOnly GPT-5.5 measured
Design Arena: agents building web apps1117Not measuredOnly GPT-5.5 measured
Design Arena: agents building full-stack apps1089Not measuredOnly GPT-5.5 measured
Design Arena: agents building mobile apps1142Not measuredOnly GPT-5.5 measured
Design Arena: agents building Android apps1164Not measuredOnly GPT-5.5 measured
Design Arena: agents building Godot games1173Not measuredOnly GPT-5.5 measured
Design Arena: agents building games1179Not measuredOnly GPT-5.5 measured
Design Arena: HTML slides1017Not measuredOnly GPT-5.5 measured
Design Arena: PowerPoint slides1084Not measuredOnly GPT-5.5 measured
LiveBench research61.6%86.4%Grok 4.7
LiveBench browser48.0%60.0%Grok 4.7
LiveBench long agentic44.6%50.1%Grok 4.7
SREBench (Vals AI)3.8%3.8%Tie
Finance Agent (Vals AI)51.8%52.3%Grok 4.7
Tax Agent Bench (Vals AI)21.8%34.2%Grok 4.7
Legal Research Bench (Vals AI)40.4%47.1%Grok 4.7
Harvey's Legal Agent Benchmark (Vals AI)Not measured18.3%Only Grok 4.7 measured
Excel Modeling Benchmark (Vals AI)64.5%67.0%Grok 4.7
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
Time Horizon Index (Vals AI)8.3%Not measuredOnly GPT-5.5 measured
Robo-bench (Vals AI)Not measured0.2%Only Grok 4.7 measured
τ²-Bench Telecom93.9%Not measuredOnly GPT-5.5 measured
APEX-Agents55.1%54.6%GPT-5.5
Remote Labor Index6.3%Not measuredOnly GPT-5.5 measured
OSWorld 2.013.0%Not measuredOnly GPT-5.5 measured
DeepResearch Bench54.0%Not measuredOnly GPT-5.5 measured
PostTrainBench27.2%Not measuredOnly GPT-5.5 measured
Vending-Bench 2$7,524$10,537Grok 4.7
Neither model has a result on the other 11 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index111
Reasoning benchmarks for GPT-5.5 and Grok 4.7
BenchmarkGPT-5.5Grok 4.7Leader
GPQA Diamond93.2%Not measuredOnly GPT-5.5 measured
LiveBench reasoning89.7%82.7%GPT-5.5
MysteryMechanism (Vals AI)Not measured25.2%Only Grok 4.7 measured
MMMU Pro (Vals AI)88.3%Not measuredOnly GPT-5.5 measured
GPQA Diamond (Artificial Analysis run)93.5%Not measuredOnly GPT-5.5 measured
Humanity's Last Exam (Artificial Analysis run)45.8%43.1%GPT-5.5
GPQA Diamond (Epoch AI run)90.7%92.7%Grok 4.7
ARC-AGI95.0%90.2%GPT-5.5
ARC-AGI-285.0%61.4%GPT-5.5
SimpleBench69.0%Not measuredOnly GPT-5.5 measured
Chess puzzles63.0%41.0%GPT-5.5
Mystery game puzzles56.0%29.0%GPT-5.5
EBR-bench34.3%Not measuredOnly GPT-5.5 measured
LMArena Text: hard prompts14891415GPT-5.5
LMArena Text: expert15071439GPT-5.5
LMArena Text: hard prompts in English14831427GPT-5.5
LMArena Vision: diagrams13251254GPT-5.5
LMArena Vision: homework13321309GPT-5.5
Kagi LLM Benchmark88.8%Not measuredOnly GPT-5.5 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for GPT-5.5 and Grok 4.7
BenchmarkGPT-5.5Grok 4.7Leader
OTIS Mock AIME84.4%98.1%Grok 4.7
FrontierMath, tiers 1 to 385.3%53.0%GPT-5.5
FrontierMath, tier 472.5%17.1%GPT-5.5
ProofBench50.0%26.0%GPT-5.5
LMArena Text: math14871414GPT-5.5
LMArena Text: mathematical work14961435GPT-5.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index61
Knowledge benchmarks for GPT-5.5 and Grok 4.7
BenchmarkGPT-5.5Grok 4.7Leader
MMLU Pro88.1%Not measuredOnly GPT-5.5 measured
LegalBench (Vals AI)86.5%84.4%GPT-5.5
CaseLaw (Vals AI)66.2%Not measuredOnly GPT-5.5 measured
CorpFin (Vals AI)68.4%Not measuredOnly GPT-5.5 measured
TaxEval (Vals AI)75.0%Not measuredOnly GPT-5.5 measured
MortgageTax (Vals AI)68.8%Not measuredOnly GPT-5.5 measured
MedCode (Vals AI)49.1%49.5%Grok 4.7
SimpleQA Verified63.0%56.0%GPT-5.5
LMArena Text: science14851419GPT-5.5
LMArena Text: medicine and healthcare14651395GPT-5.5
LMArena Text: legal and government14911423GPT-5.5
LMArena Text: business and finance14781389GPT-5.5
FACTS Benchmark Suite66.7%Not measuredOnly GPT-5.5 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index25
Web design benchmarks for GPT-5.5 and Grok 4.7
BenchmarkGPT-5.5Grok 4.7Leader
Design Arena: websites12561255GPT-5.5
Design Arena: UI components12571275Grok 4.7
Design Arena: game dev12931314Grok 4.7
Design Arena: data viz12641238GPT-5.5
Design Arena: 3D11971274Grok 4.7
Design Arena: all code categories12601273Grok 4.7
Design Arena: SVG1234Not measuredOnly GPT-5.5 measured
Design Arena: ASCII art1255Not measuredOnly GPT-5.5 measured
LiveBench design70.3%78.0%Grok 4.7
GeneralLike-for-likePublic boards, shown as published, kept out of the index272
General benchmarks for GPT-5.5 and Grok 4.7
BenchmarkGPT-5.5Grok 4.7Leader
Vals IndexNot measured58.6%Only Grok 4.7 measured
LiveBench data analysis81.6%76.9%GPT-5.5
Public Benefits Bench (Vals AI)60.9%65.6%Grok 4.7
SAGE (Vals AI)51.5%40.8%GPT-5.5
MedScribe (Vals AI)86.9%89.4%Grok 4.7
Vals Multimodal Index68.1%Not measuredOnly GPT-5.5 measured
IFBench75.9%Not measuredOnly GPT-5.5 measured
Long context reasoning (AA-LCR)84.3%80.0%GPT-5.5
DTBench96.0%96.0%Tie
LMCA54.3%49.4%GPT-5.5
Surface Evolver Bench88.1%Not measuredOnly GPT-5.5 measured
Furniture assembly44.2%20.8%GPT-5.5
ExploitBench47.4%Not measuredOnly GPT-5.5 measured
CL-bench Life22.2%Not measuredOnly GPT-5.5 measured
LMArena Text14711399GPT-5.5
LMArena Text: instruction following14781406GPT-5.5
LMArena Text: creative writing14551381GPT-5.5
LMArena Vision12971231GPT-5.5
LMArena Text: English14701411GPT-5.5
LMArena Text: non-English14671386GPT-5.5
LMArena Text: Chinese15341449GPT-5.5
LMArena Text: German14801366GPT-5.5
LMArena Text: Japanese14991359GPT-5.5
LMArena Text: Korean14601383GPT-5.5
LMArena Text: French14851431GPT-5.5
LMArena Text: Spanish14681406GPT-5.5
LMArena Text: Russian14731399GPT-5.5
LMArena Text: Polish14651420GPT-5.5
LMArena Text: multi-turn14761394GPT-5.5
LMArena Text: longer queries14841416GPT-5.5
LMArena Text: writing and language14661394GPT-5.5
LMArena Text: entertainment and media14491376GPT-5.5
LMArena Vision: English12921229GPT-5.5
LMArena Vision: Chinese13601250GPT-5.5
LMArena Vision: reading text13061241GPT-5.5
LMArena Vision: humor1293Not measuredOnly GPT-5.5 measured
LMArena Vision: recognizing things1231Not measuredOnly GPT-5.5 measured
LMArena Vision: creative writing13011217GPT-5.5
LMArena Document1486Not measuredOnly GPT-5.5 measured
Neither model has a result on the other 7 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.5 and Grok 4.7
BenchmarkGPT-5.5Grok 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-5.5$0.020Fits in one request
Grok 4.7$0.0050Fits in one request

Grok 4.7 costs less

Repository review

50K input + 3K output tokens

GPT-5.5$0.340Fits in one request
Grok 4.7$0.118Fits in one request

Grok 4.7 costs less

Agent loop

200K input + 10K output tokens

GPT-5.5$1.30Fits in one request
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-5.5 and Grok 4.7
SpecificationOpenAI GPT-5.5SpaceXAI Grok 4.7
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 24, 2026September 21, 2026
Context window1.05M500K
Input $/Mtok$5.00$2.00
Output $/Mtok$30.00$6.00
Coding index71.366.7
Independent measurements behind it55
Cost per solved task$1.65Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.5 better than Grok 4.7 for coding?

Pick GPT-5.5 for coding: it scores 71.3 on the Vibe Coding Index against 66.7 for Grok 4.7. Pick Grok 4.7 for output tokens 5.0x cheaper ($6.00 vs $30.00 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, GPT-5.5 or Grok 4.7?

GPT-5.5 costs $5.00 per million input tokens and $30.00 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for GPT-5.5 only.

Which has the bigger context window, GPT-5.5 or Grok 4.7?

GPT-5.5, with 1.05M tokens against 500K.

How many benchmarks is the GPT-5.5 vs Grok 4.7 comparison based on?

87 benchmarks have a result for both models as of October 22, 2026. GPT-5.5's coding index rests on 5 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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