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GPT-5.6 Terra vs Grok 4.7

Grok 4.7 leads GPT-5.6 Terra on coding, 66.7 to 63.9 on the Vibe Coding Index, and Grok 4.7 costs 2.0x less per output token ($6.00 vs $12.00 per million). Updated October 22, 2026; 91 benchmarks have a result for both.

Replace GPT-5.6 Terra Replace Grok 4.7
GPT-5.6 TerraOpenAI
Coding
63.9
Overall
68.1
Output $/M
$12.00
63
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
26
vs boards won of 91 shared, 2 tied

GPT-5.6 Terra or Grok 4.7: which to pick

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 63.9 for GPT-5.6 Terra, though on 5 benchmarks against 6.

Pick GPT-5.6 Terra for a larger context window (1.05M against 500K tokens) and work measured by LiveBench coding or Code migration (Vals AI), where it leads.

Model AGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved taskModel BGrok 4.7xAI66.7/1005 independent benchmarksNo cost per solved task
Shared results
91
GPT-5.6 Terra only
36
Grok 4.7 only
8
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-5.6 Terra 63.9 from 6 benchmarks, Grok 4.7 66.7 from 5 benchmarks.
Widest category
Math, 25.4 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: GPT-5.6 Terra 70.7% against Grok 4.7 17.1%, 53.7 points apart on a 0 to 100 scale.
Output price
GPT-5.6 Terra $12.00 against Grok 4.7 $6.00 per million output tokens, 2.0x apart.
Context window
GPT-5.6 Terra 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-5.6 TerraBarsGrok 4.7Ties
Coding781 tie
Intelligence11
Agentic work461 tie
Reasoning111
Math60
Knowledge52
Web design25
General273
All shared boards63262 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index78
Coding benchmarks for GPT-5.6 Terra and Grok 4.7
BenchmarkGPT-5.6 TerraGrok 4.7Leader
LiveBench coding86.2%84.5%GPT-5.6 Terra
LMArena WebDev15221637Grok 4.7
AA Coding Index76.7Not measuredOnly GPT-5.6 Terra measured
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5.6 Terra measured
SWE-bench Verified (Vals AI)95.4%Not measuredOnly GPT-5.6 Terra measured
Terminal-Bench 4 (Vals AI)22.7%28.8%Grok 4.7
Vibe Code Bench (Vals AI)74.6%86.2%Grok 4.7
Code migration (Vals AI)47.8%44.8%GPT-5.6 Terra
ProgramBench (Vals AI)0.5%0.5%Tie
IOI (Vals AI)87.6%57.7%GPT-5.6 Terra
Terminal-Bench 2.1 (Vals AI)77.5%73.4%GPT-5.6 Terra
SWE-bench Multimodal (Vals AI)Not measured42.9%Only Grok 4.7 measured
Vibe Code Bench 1-100 (Vals AI)14.8%Not measuredOnly GPT-5.6 Terra measured
SkillsBench (Vals AI)58.9%Not measuredOnly GPT-5.6 Terra measured
CyberBench (Vals AI)72.1%69.5%GPT-5.6 Terra
SciCode55.0%57.8%Grok 4.7
Terminal-Bench Hard (Artificial Analysis run)62.9%Not measuredOnly GPT-5.6 Terra measured
FrontierCode41.3%47.6%Grok 4.7
FrontierSWENot measured29.5%Only Grok 4.7 measured
WeirdML78.3%Not measuredOnly GPT-5.6 Terra measured
ALE-Bench1951.4Not measuredOnly GPT-5.6 Terra measured
LMArena Text: coding14851432GPT-5.6 Terra
LMArena Text: software and IT14821421GPT-5.6 Terra
LMArena WebDev: React15131663Grok 4.7
LMArena WebDev: HTML15261627Grok 4.7
LMArena WebDev: from an image15411586Grok 4.7
SciCode10.8%Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-5.6 Terra and Grok 4.7
BenchmarkGPT-5.6 TerraGrok 4.7Leader
AA Intelligence Index42.146.4Grok 4.7
Epoch Capabilities Index160.1154.4GPT-5.6 Terra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index46
Agentic work benchmarks for GPT-5.6 Terra and Grok 4.7
BenchmarkGPT-5.6 TerraGrok 4.7Leader
AA Agentic Index43.2Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building web apps1120Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building full-stack apps1061Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building mobile apps1111Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building Android apps1062Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building games1083Not measuredOnly GPT-5.6 Terra measured
Design Arena: HTML slides1058Not measuredOnly GPT-5.6 Terra measured
Design Arena: PowerPoint slides1105Not measuredOnly GPT-5.6 Terra measured
LiveBench research60.4%86.4%Grok 4.7
LiveBench browser84.0%60.0%GPT-5.6 Terra
LiveBench long agentic48.4%50.1%Grok 4.7
SREBench (Vals AI)9.5%3.8%GPT-5.6 Terra
Finance Agent (Vals AI)54.4%52.3%GPT-5.6 Terra
Tax Agent Bench (Vals AI)30.0%34.2%Grok 4.7
Legal Research Bench (Vals AI)41.4%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)66.2%67.0%Grok 4.7
BioMysteryBench (Vals AI)Not measured69.3%Only Grok 4.7 measured
Terminal-Bench-Science (Vals AI)10.0%10.0%Tie
Vals Science IndexNot measured34.8%Only Grok 4.7 measured
Robo-bench (Vals AI)Not measured0.2%Only Grok 4.7 measured
τ²-Bench Telecom86.3%Not measuredOnly GPT-5.6 Terra measured
APEX-Agents58.2%54.6%GPT-5.6 Terra
BALROG53.2%Not measuredOnly GPT-5.6 Terra measured
Vending-Bench 2$7,343$10,537Grok 4.7
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index111
Reasoning benchmarks for GPT-5.6 Terra and Grok 4.7
BenchmarkGPT-5.6 TerraGrok 4.7Leader
GPQA Diamond90.9%Not measuredOnly GPT-5.6 Terra measured
LiveBench reasoning90.6%82.7%GPT-5.6 Terra
MysteryMechanism (Vals AI)Not measured25.2%Only Grok 4.7 measured
MMMU Pro (Vals AI)86.5%Not measuredOnly GPT-5.6 Terra measured
GPQA Diamond (Artificial Analysis run)92.5%Not measuredOnly GPT-5.6 Terra measured
Humanity's Last Exam (Artificial Analysis run)42.9%43.1%Grok 4.7
GPQA Diamond (Epoch AI run)93.3%92.7%GPT-5.6 Terra
ARC-AGI96.5%90.2%GPT-5.6 Terra
ARC-AGI-283.9%61.4%GPT-5.6 Terra
SimpleBench48.9%Not measuredOnly GPT-5.6 Terra measured
Chess puzzles47.0%41.0%GPT-5.6 Terra
Mystery game puzzles35.0%29.0%GPT-5.6 Terra
LMArena Text: hard prompts14691415GPT-5.6 Terra
LMArena Text: expert14961439GPT-5.6 Terra
LMArena Text: hard prompts in English14651427GPT-5.6 Terra
LMArena Vision: diagrams12951254GPT-5.6 Terra
LMArena Vision: homework13121309GPT-5.6 Terra
Kagi LLM Benchmark51.3%Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for GPT-5.6 Terra and Grok 4.7
BenchmarkGPT-5.6 TerraGrok 4.7Leader
OTIS Mock AIME99.7%98.1%GPT-5.6 Terra
FrontierMath, tiers 1 to 386.0%53.0%GPT-5.6 Terra
FrontierMath, tier 470.7%17.1%GPT-5.6 Terra
ProofBench74.0%26.0%GPT-5.6 Terra
LMArena Text: math14651414GPT-5.6 Terra
LMArena Text: mathematical work14781435GPT-5.6 Terra
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
Knowledge benchmarks for GPT-5.6 Terra and Grok 4.7
BenchmarkGPT-5.6 TerraGrok 4.7Leader
MMLU Pro86.7%Not measuredOnly GPT-5.6 Terra measured
LegalBench (Vals AI)85.1%84.4%GPT-5.6 Terra
CorpFin (Vals AI)65.3%Not measuredOnly GPT-5.6 Terra measured
TaxEval (Vals AI)76.2%Not measuredOnly GPT-5.6 Terra measured
MortgageTax (Vals AI)67.3%Not measuredOnly GPT-5.6 Terra measured
MedCode (Vals AI)43.4%49.5%Grok 4.7
SimpleQA Verified43.2%56.0%Grok 4.7
LMArena Text: science14521419GPT-5.6 Terra
LMArena Text: medicine and healthcare14301395GPT-5.6 Terra
LMArena Text: legal and government14611423GPT-5.6 Terra
LMArena Text: business and finance14481389GPT-5.6 Terra
FACTS Benchmark Suite52.0%Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index25
Web design benchmarks for GPT-5.6 Terra and Grok 4.7
BenchmarkGPT-5.6 TerraGrok 4.7Leader
Design Arena: websites12681255GPT-5.6 Terra
Design Arena: UI components12561275Grok 4.7
Design Arena: game dev12291314Grok 4.7
Design Arena: data viz12401238GPT-5.6 Terra
Design Arena: 3D11341274Grok 4.7
Design Arena: all code categories12411273Grok 4.7
Design Arena: SVG1219Not measuredOnly GPT-5.6 Terra measured
Design Arena: ASCII art1177Not measuredOnly GPT-5.6 Terra measured
LiveBench design76.0%78.0%Grok 4.7
GeneralLike-for-likePublic boards, shown as published, kept out of the index273
General benchmarks for GPT-5.6 Terra and Grok 4.7
BenchmarkGPT-5.6 TerraGrok 4.7Leader
Vals IndexNot measured58.6%Only Grok 4.7 measured
LiveBench data analysis79.3%76.9%GPT-5.6 Terra
Public Benefits Bench (Vals AI)62.4%65.6%Grok 4.7
SAGE (Vals AI)47.0%40.8%GPT-5.6 Terra
MedScribe (Vals AI)82.9%89.4%Grok 4.7
Vals Multimodal Index65.1%Not measuredOnly GPT-5.6 Terra measured
IFBench71.2%Not measuredOnly GPT-5.6 Terra measured
Long context reasoning (AA-LCR)83.0%80.0%GPT-5.6 Terra
DTBench93.3%96.0%Grok 4.7
LMCA54.9%49.4%GPT-5.6 Terra
Surface Evolver Bench83.8%Not measuredOnly GPT-5.6 Terra measured
Furniture assembly54.2%20.8%GPT-5.6 Terra
LMArena Text14481399GPT-5.6 Terra
LMArena Text: instruction following14561406GPT-5.6 Terra
LMArena Text: creative writing14131381GPT-5.6 Terra
LMArena Vision12711231GPT-5.6 Terra
LMArena Text: English14491411GPT-5.6 Terra
LMArena Text: non-English14411386GPT-5.6 Terra
LMArena Text: Chinese15141449GPT-5.6 Terra
LMArena Text: German14601366GPT-5.6 Terra
LMArena Text: Japanese14541359GPT-5.6 Terra
LMArena Text: Korean14271383GPT-5.6 Terra
LMArena Text: French14661431GPT-5.6 Terra
LMArena Text: Spanish14511406GPT-5.6 Terra
LMArena Text: Russian14521399GPT-5.6 Terra
LMArena Text: Polish14461420GPT-5.6 Terra
LMArena Text: multi-turn14531394GPT-5.6 Terra
LMArena Text: longer queries14541416GPT-5.6 Terra
LMArena Text: writing and language14311394GPT-5.6 Terra
LMArena Text: entertainment and media14181376GPT-5.6 Terra
LMArena Vision: English12721229GPT-5.6 Terra
LMArena Vision: Chinese13371250GPT-5.6 Terra
LMArena Vision: reading text12781241GPT-5.6 Terra
LMArena Vision: humor1236Not measuredOnly GPT-5.6 Terra measured
LMArena Vision: creative writing12481217GPT-5.6 Terra
LMArena Document1472Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.6 Terra and Grok 4.7
BenchmarkGPT-5.6 TerraGrok 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-5.6 Terra$0.0080Fits in one request
Grok 4.7$0.0050Fits in one request

Grok 4.7 costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Terra$0.136Fits in one request
Grok 4.7$0.118Fits in one request

Grok 4.7 costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Terra$0.520Fits 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-5.6 Terra and Grok 4.7
SpecificationOpenAI GPT-5.6 TerraSpaceXAI Grok 4.7
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 9, 2026September 21, 2026
Context window1.05M500K
Input $/Mtok$2.00$2.00
Output $/Mtok$12.00$6.00
Coding index63.966.7
Independent measurements behind it65
Cost per solved task$0.42Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Terra better than Grok 4.7 for coding?

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 63.9 for GPT-5.6 Terra, though on 5 benchmarks against 6. Pick GPT-5.6 Terra for a larger context window (1.05M against 500K tokens) and work measured by LiveBench coding or Code migration (Vals AI), where it leads.

Which is cheaper, GPT-5.6 Terra or Grok 4.7?

GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for GPT-5.6 Terra only.

Which has the bigger context window, GPT-5.6 Terra or Grok 4.7?

GPT-5.6 Terra, with 1.05M tokens against 500K.

How many benchmarks is the GPT-5.6 Terra vs Grok 4.7 comparison based on?

91 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Terra's coding index rests on 6 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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