Enter opens the highlighted result. Esc closes.

GPT-6.1 Sol vs Grok 4.7

GPT-6.1 Sol leads Grok 4.7 on coding, 82.4 to 66.7 on the Vibe Coding Index, and Grok 4.7 costs 1.7x less per output token ($6.00 vs $10.00 per million). Updated October 21, 2026; 90 benchmarks have a result for both.

Replace GPT-6.1 Sol Replace Grok 4.7
GPT-6.1 SolOpenAI
Coding
82.4
Overall
81.4
Output $/M
$10.00
80
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
10
vs boards won of 90 shared

GPT-6.1 Sol or Grok 4.7: which to pick

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 66.7 for Grok 4.7.

Pick Grok 4.7 for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Model AGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved taskModel BGrok 4.7xAI66.7/1005 independent benchmarksNo cost per solved task
Shared results
90
GPT-6.1 Sol only
8
Grok 4.7 only
9
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-6.1 Sol 82.4 from 5 benchmarks, Grok 4.7 66.7 from 5 benchmarks.
Widest category
Math, 37.4 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: GPT-6.1 Sol 100.0% against Grok 4.7 17.1%, 82.9 points apart on a 0 to 100 scale.
Output price
GPT-6.1 Sol $10.00 against Grok 4.7 $6.00 per million output tokens, 1.7x apart.
Context window
GPT-6.1 Sol 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-6.1 SolBarsGrok 4.7Ties
Coding142
Intelligence20
Agentic work95
Reasoning130
Math60
Knowledge51
Web design70
General242
All shared boards8010
CodingLike-for-likeSix of these boards feed the Vibe Coding Index142
Coding benchmarks for GPT-6.1 Sol and Grok 4.7
BenchmarkGPT-6.1 SolGrok 4.7Leader
LiveBench coding96.0%84.5%GPT-6.1 Sol
LMArena WebDev17531637GPT-6.1 Sol
Terminal-Bench 4 (Vals AI)55.0%28.8%GPT-6.1 Sol
Vibe Code Bench (Vals AI)88.9%86.2%GPT-6.1 Sol
Code migration (Vals AI)65.1%44.8%GPT-6.1 Sol
ProgramBench (Vals AI)3.0%0.5%GPT-6.1 Sol
IOI (Vals AI)96.9%57.7%GPT-6.1 Sol
Terminal-Bench 2.1 (Vals AI)Not measured73.4%Only Grok 4.7 measured
SWE-bench Multimodal (Vals AI)43.5%42.9%GPT-6.1 Sol
CyberBench (Vals AI)39.3%69.5%Grok 4.7
SciCode55.8%57.8%Grok 4.7
FrontierCode50.2%47.6%GPT-6.1 Sol
FrontierSWENot measured29.5%Only Grok 4.7 measured
ALE-Bench2743.8Not measuredOnly GPT-6.1 Sol measured
LMArena Text: coding14781432GPT-6.1 Sol
LMArena Text: software and IT14761421GPT-6.1 Sol
LMArena WebDev: React17541663GPT-6.1 Sol
LMArena WebDev: HTML18001627GPT-6.1 Sol
LMArena WebDev: from an image17021586GPT-6.1 Sol
SciCode9.2%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-6.1 Sol and Grok 4.7
BenchmarkGPT-6.1 SolGrok 4.7Leader
AA Intelligence Index51.846.4GPT-6.1 Sol
Epoch Capabilities Index168.4154.4GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index95
Agentic work benchmarks for GPT-6.1 Sol and Grok 4.7
BenchmarkGPT-6.1 SolGrok 4.7Leader
Design Arena: agents building web apps1306Not measuredOnly GPT-6.1 Sol measured
Design Arena: agents building mobile apps1204Not measuredOnly GPT-6.1 Sol measured
Design Arena: spreadsheets1242Not measuredOnly GPT-6.1 Sol measured
LiveBench research83.5%86.4%Grok 4.7
LiveBench browser88.0%60.0%GPT-6.1 Sol
LiveBench long agentic73.0%50.1%GPT-6.1 Sol
SREBench (Vals AI)50.8%3.8%GPT-6.1 Sol
Finance Agent (Vals AI)52.0%52.3%Grok 4.7
Tax Agent Bench (Vals AI)21.8%34.2%Grok 4.7
Legal Research Bench (Vals AI)38.5%47.1%Grok 4.7
Harvey's Legal Agent Benchmark (Vals AI)6.3%18.3%Grok 4.7
Excel Modeling Benchmark (Vals AI)70.8%67.0%GPT-6.1 Sol
BioMysteryBench (Vals AI)79.6%69.3%GPT-6.1 Sol
Terminal-Bench-Science (Vals AI)52.9%10.0%GPT-6.1 Sol
Vals Science Index59.6%34.8%GPT-6.1 Sol
Robo-bench (Vals AI)28.3%0.2%GPT-6.1 Sol
APEX-Agents60.0%54.6%GPT-6.1 Sol
SpireClimb24.7%Not measuredOnly GPT-6.1 Sol measured
Vending-Bench 2Not measured$10,537Only Grok 4.7 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
Reasoning benchmarks for GPT-6.1 Sol and Grok 4.7
BenchmarkGPT-6.1 SolGrok 4.7Leader
LiveBench reasoning92.6%82.7%GPT-6.1 Sol
MysteryMechanism (Vals AI)46.4%25.2%GPT-6.1 Sol
Humanity's Last Exam (Artificial Analysis run)52.9%43.1%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)95.4%92.7%GPT-6.1 Sol
ARC-AGI98.5%90.2%GPT-6.1 Sol
ARC-AGI-294.2%61.4%GPT-6.1 Sol
Chess puzzles68.0%41.0%GPT-6.1 Sol
Mystery game puzzles80.0%29.0%GPT-6.1 Sol
EBR-bench54.3%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: hard prompts14631415GPT-6.1 Sol
LMArena Text: expert14891439GPT-6.1 Sol
LMArena Text: hard prompts in English14651427GPT-6.1 Sol
LMArena Vision: diagrams13061254GPT-6.1 Sol
LMArena Vision: homework13561309GPT-6.1 Sol
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for GPT-6.1 Sol and Grok 4.7
BenchmarkGPT-6.1 SolGrok 4.7Leader
OTIS Mock AIME100.0%98.1%GPT-6.1 Sol
FrontierMath, tiers 1 to 393.7%53.0%GPT-6.1 Sol
FrontierMath, tier 4100.0%17.1%GPT-6.1 Sol
ProofBench99.0%26.0%GPT-6.1 Sol
LMArena Text: math14891414GPT-6.1 Sol
LMArena Text: mathematical work15131435GPT-6.1 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51
Knowledge benchmarks for GPT-6.1 Sol and Grok 4.7
BenchmarkGPT-6.1 SolGrok 4.7Leader
LegalBench (Vals AI)Not measured84.4%Only Grok 4.7 measured
MedCode (Vals AI)48.8%49.5%Grok 4.7
SimpleQA Verified73.9%56.0%GPT-6.1 Sol
LMArena Text: science14441419GPT-6.1 Sol
LMArena Text: medicine and healthcare14331395GPT-6.1 Sol
LMArena Text: legal and government14711423GPT-6.1 Sol
LMArena Text: business and finance14451389GPT-6.1 Sol
FACTS Benchmark Suite75.3%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for GPT-6.1 Sol and Grok 4.7
BenchmarkGPT-6.1 SolGrok 4.7Leader
Design Arena: websites13211254GPT-6.1 Sol
Design Arena: UI components13301275GPT-6.1 Sol
Design Arena: game dev13891313GPT-6.1 Sol
Design Arena: data viz12801235GPT-6.1 Sol
Design Arena: 3D14631270GPT-6.1 Sol
Design Arena: all code categories13461271GPT-6.1 Sol
LiveBench design82.1%78.0%GPT-6.1 Sol
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index242
General benchmarks for GPT-6.1 Sol and Grok 4.7
BenchmarkGPT-6.1 SolGrok 4.7Leader
Vals Index63.9%58.6%GPT-6.1 Sol
LiveBench data analysis82.7%76.9%GPT-6.1 Sol
Public Benefits Bench (Vals AI)59.3%65.6%Grok 4.7
SAGE (Vals AI)46.5%40.8%GPT-6.1 Sol
MedScribe (Vals AI)86.5%89.4%Grok 4.7
Long context reasoning (AA-LCR)84.0%80.0%GPT-6.1 Sol
DTBench96.5%96.0%GPT-6.1 Sol
LMCA62.8%49.4%GPT-6.1 Sol
Furniture assembly80.0%20.8%GPT-6.1 Sol
LMArena Text14431399GPT-6.1 Sol
LMArena Text: instruction following14661406GPT-6.1 Sol
LMArena Text: creative writing14251381GPT-6.1 Sol
LMArena Vision12881231GPT-6.1 Sol
LMArena Text: English14501411GPT-6.1 Sol
LMArena Text: non-English14331386GPT-6.1 Sol
LMArena Text: Chinese14871449GPT-6.1 Sol
LMArena Text: GermanNot measured1366Only Grok 4.7 measured
LMArena Text: JapaneseNot measured1359Only Grok 4.7 measured
LMArena Text: KoreanNot measured1383Only Grok 4.7 measured
LMArena Text: French14601431GPT-6.1 Sol
LMArena Text: Spanish14391406GPT-6.1 Sol
LMArena Text: Russian14571399GPT-6.1 Sol
LMArena Text: PolishNot measured1420Only Grok 4.7 measured
LMArena Text: multi-turn14421394GPT-6.1 Sol
LMArena Text: longer queries14581416GPT-6.1 Sol
LMArena Text: writing and language14441394GPT-6.1 Sol
LMArena Text: entertainment and media14261376GPT-6.1 Sol
LMArena Vision: English12741229GPT-6.1 Sol
LMArena Vision: ChineseNot measured1250Only Grok 4.7 measured
LMArena Vision: reading text12891241GPT-6.1 Sol
LMArena Vision: creative writing13011217GPT-6.1 Sol
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6.1 Sol and Grok 4.7
BenchmarkGPT-6.1 SolGrok 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-6.1 Sol$0.0070Fits in one request
Grok 4.7$0.0050Fits in one request

Grok 4.7 costs less

Repository review

50K input + 3K output tokens

GPT-6.1 Sol$0.130Fits in one request
Grok 4.7$0.118Fits in one request

Grok 4.7 costs less

Agent loop

200K input + 10K output tokens

GPT-6.1 Sol$0.500Fits 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-6.1 Sol and Grok 4.7
SpecificationOpenAI GPT-6.1 SolSpaceXAI Grok 4.7
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 29, 2026September 21, 2026
Context window1.05M500K
Input $/Mtok$2.00$2.00
Output $/Mtok$10.00$6.00
Coding index82.466.7
Independent measurements behind it55
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6.1 Sol better than Grok 4.7 for coding?

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 66.7 for Grok 4.7. Pick Grok 4.7 for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Which is cheaper, GPT-6.1 Sol or Grok 4.7?

GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 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-6.1 Sol or Grok 4.7?

GPT-6.1 Sol, with 1.05M tokens against 500K.

How many benchmarks is the GPT-6.1 Sol vs Grok 4.7 comparison based on?

90 benchmarks have a result for both models as of October 21, 2026. GPT-6.1 Sol'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.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gpt-6-1-sol-vs-grok-4-7" title="GPT-6.1 Sol vs Grok 4.7, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-6-1-sol-vs-grok-4-7">LLMBenchmark.ai, GPT-6.1 Sol vs Grok 4.7</a></p>