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GPT-5 Mini vs Grok 4.7

Grok 4.7 leads GPT-5 Mini on coding, 66.7 to 34.2 on the Vibe Coding Index, and GPT-5 Mini costs 3.0x less per output token ($2.00 vs $6.00 per million). Updated October 22, 2026; 64 benchmarks have a result for both.

Replace GPT-5 Mini Replace Grok 4.7
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
2
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
62
vs boards won of 64 shared

GPT-5 Mini or Grok 4.7: which to pick

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 34.2 for GPT-5 Mini.

Pick GPT-5 Mini for output tokens 3.0x cheaper ($2.00 vs $6.00 per million) and work measured by SAGE (Vals AI) or LMArena Text: German, where it leads.

Model AGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved taskModel BGrok 4.7xAI66.7/1005 independent benchmarksNo cost per solved task
Shared results
64
GPT-5 Mini only
37
Grok 4.7 only
35
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 Mini 34.2 from 2 benchmarks, Grok 4.7 66.7 from 5 benchmarks.
Widest category
Agentic work, 65.9 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5 Mini 14.2% against Grok 4.7 86.2%, 72.0 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against Grok 4.7 $6.00 per million output tokens, 3.0x apart.
Context window
GPT-5 Mini takes 400K 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 MiniBarsGrok 4.7Ties
Coding04
Intelligence02
Agentic work01
Reasoning011
Math06
Knowledge07
Web design06
General225
All shared boards262
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-5 Mini and Grok 4.7
BenchmarkGPT-5 MiniGrok 4.7Leader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LiveBench codingNot measured84.5%Only Grok 4.7 measured
LMArena WebDevNot measured1637Only Grok 4.7 measured
LiveCodeBench (Vals AI)86.6%Not measuredOnly GPT-5 Mini measured
SWE-bench Verified (Vals AI)60.8%Not measuredOnly GPT-5 Mini measured
Terminal-Bench 4 (Vals AI)Not measured28.8%Only Grok 4.7 measured
Vibe Code Bench (Vals AI)14.2%86.2%Grok 4.7
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)83.8%Not measuredOnly GPT-5 Mini measured
SciCode39.0%57.8%Grok 4.7
Terminal-Bench Hard (Artificial Analysis run)33.3%Not measuredOnly GPT-5 Mini measured
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
FrontierCodeNot measured47.6%Only Grok 4.7 measured
FrontierSWENot measured29.5%Only Grok 4.7 measured
WeirdML52.7%Not measuredOnly GPT-5 Mini measured
LMArena Text: coding14061432Grok 4.7
LMArena Text: software and IT13941421Grok 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 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5 Mini and Grok 4.7
BenchmarkGPT-5 MiniGrok 4.7Leader
AA Intelligence Index20.646.4Grok 4.7
Epoch Capabilities Index145.3154.4Grok 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 Mini and Grok 4.7
BenchmarkGPT-5 MiniGrok 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
τ²-Bench Telecom71.1%Not measuredOnly GPT-5 Mini measured
APEX-AgentsNot measured54.6%Only Grok 4.7 measured
Vending-Bench 2-$31$10,537Grok 4.7
Berkeley Function Calling Leaderboard (BFCL)55.5%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index011
Reasoning benchmarks for GPT-5 Mini and Grok 4.7
BenchmarkGPT-5 MiniGrok 4.7Leader
GPQA Diamond80.3%Not measuredOnly GPT-5 Mini measured
LiveBench reasoningNot measured82.7%Only Grok 4.7 measured
MysteryMechanism (Vals AI)Not measured25.2%Only Grok 4.7 measured
MMMU Pro (Vals AI)78.9%Not measuredOnly GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)82.8%Not measuredOnly GPT-5 Mini measured
Humanity's Last Exam (Artificial Analysis run)21.5%43.1%Grok 4.7
GPQA Diamond (Epoch AI run)75.0%92.7%Grok 4.7
ARC-AGI54.3%90.2%Grok 4.7
ARC-AGI-24.4%61.4%Grok 4.7
Chess puzzles24.0%41.0%Grok 4.7
Mystery game puzzles10.0%29.0%Grok 4.7
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts13801415Grok 4.7
LMArena Text: expert13791439Grok 4.7
LMArena Text: hard prompts in English13831427Grok 4.7
LMArena Vision: diagrams12021254Grok 4.7
LMArena Vision: homework12101309Grok 4.7
Kagi LLM Benchmark70.3%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for GPT-5 Mini and Grok 4.7
BenchmarkGPT-5 MiniGrok 4.7Leader
AIME91.5%Not measuredOnly GPT-5 Mini measured
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.7Not measuredOnly GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly GPT-5 Mini measured
OTIS Mock AIME86.7%98.1%Grok 4.7
FrontierMath, tiers 1 to 346.7%53.0%Grok 4.7
FrontierMath, tier 412.2%17.1%Grok 4.7
ProofBench9.0%26.0%Grok 4.7
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781414Grok 4.7
LMArena Text: mathematical work13801435Grok 4.7
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
Knowledge benchmarks for GPT-5 Mini and Grok 4.7
BenchmarkGPT-5 MiniGrok 4.7Leader
MMLU Pro82.2%Not measuredOnly GPT-5 Mini measured
LegalBench (Vals AI)81.8%84.4%Grok 4.7
CaseLaw (Vals AI)68.5%Not measuredOnly GPT-5 Mini measured
CorpFin (Vals AI)60.2%Not measuredOnly GPT-5 Mini measured
TaxEval (Vals AI)75.2%Not measuredOnly GPT-5 Mini measured
MortgageTax (Vals AI)66.9%Not measuredOnly GPT-5 Mini measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%49.5%Grok 4.7
MMLU Pro (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Mini measured
SimpleQA Verified21.6%56.0%Grok 4.7
LMArena Text: science13711419Grok 4.7
LMArena Text: medicine and healthcare13801395Grok 4.7
LMArena Text: legal and government13751423Grok 4.7
LMArena Text: business and finance13581389Grok 4.7
FACTS Benchmark Suite38.6%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-5 Mini and Grok 4.7
BenchmarkGPT-5 MiniGrok 4.7Leader
Design Arena: websites11251254Grok 4.7
Design Arena: UI components11031276Grok 4.7
Design Arena: game dev11291314Grok 4.7
Design Arena: data viz11311238Grok 4.7
Design Arena: 3D10361274Grok 4.7
Design Arena: all code categories11141272Grok 4.7
Design Arena: SVG1090Not measuredOnly GPT-5 Mini measured
Design Arena: ASCII art1125Not measuredOnly GPT-5 Mini measured
LiveBench designNot measured78.0%Only Grok 4.7 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index225
General benchmarks for GPT-5 Mini and Grok 4.7
BenchmarkGPT-5 MiniGrok 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)43.0%40.8%GPT-5 Mini
MedScribe (Vals AI)80.6%89.4%Grok 4.7
IFBench75.4%Not measuredOnly GPT-5 Mini measured
Long context reasoning (AA-LCR)72.3%80.0%Grok 4.7
DTBench80.5%96.0%Grok 4.7
LMCA34.2%49.4%Grok 4.7
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
Furniture assemblyNot measured20.8%Only Grok 4.7 measured
LMArena Text13731399Grok 4.7
LMArena Text: instruction following13571406Grok 4.7
LMArena Text: creative writing13251381Grok 4.7
LMArena Vision12021231Grok 4.7
LMArena Text: English13791411Grok 4.7
LMArena Text: non-English13631386Grok 4.7
LMArena Text: Chinese13861449Grok 4.7
LMArena Text: German13661366GPT-5 Mini
LMArena Text: Japanese13411359Grok 4.7
LMArena Text: Korean13081383Grok 4.7
LMArena Text: French13861431Grok 4.7
LMArena Text: Spanish13541406Grok 4.7
LMArena Text: Russian13621399Grok 4.7
LMArena Text: Polish13781420Grok 4.7
LMArena Text: multi-turn13631394Grok 4.7
LMArena Text: longer queries13551416Grok 4.7
LMArena Text: writing and language13441394Grok 4.7
LMArena Text: entertainment and media13401376Grok 4.7
LMArena Vision: English12161229Grok 4.7
LMArena Vision: Chinese12141250Grok 4.7
LMArena Vision: reading text11991241Grok 4.7
LMArena Vision: humor1205Not measuredOnly GPT-5 Mini measured
LMArena Vision: captioning1217Not measuredOnly GPT-5 Mini measured
LMArena Vision: recognizing things1226Not measuredOnly GPT-5 Mini measured
LMArena Vision: creative writing11811217Grok 4.7
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 Mini and Grok 4.7
BenchmarkGPT-5 MiniGrok 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 Mini$0.0013Fits in one request
Grok 4.7$0.0050Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5 Mini$0.018Fits in one request
Grok 4.7$0.118Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5 Mini$0.070Fits in one request
Grok 4.7$0.460Fits in one request

GPT-5 Mini 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 Mini and Grok 4.7
SpecificationOpenAI GPT-5 MiniSpaceXAI Grok 4.7
MakerOpenAIxAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025September 21, 2026
Context window400K500K
Input $/Mtok$0.25$2.00
Output $/Mtok$2.00$6.00
Coding index34.266.7
Independent measurements behind it25
Cost per solved task$0.08Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Mini better than Grok 4.7 for coding?

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 34.2 for GPT-5 Mini. Pick GPT-5 Mini for output tokens 3.0x cheaper ($2.00 vs $6.00 per million) and work measured by SAGE (Vals AI) or LMArena Text: German, where it leads.

Which is cheaper, GPT-5 Mini or Grok 4.7?

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for GPT-5 Mini only.

Which has the bigger context window, GPT-5 Mini or Grok 4.7?

Grok 4.7, with 500K tokens against 400K.

How many benchmarks is the GPT-5 Mini vs Grok 4.7 comparison based on?

64 benchmarks have a result for both models as of October 22, 2026. GPT-5 Mini's coding index rests on 2 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-mini-vs-grok-4-7">LLMBenchmark.ai, GPT-5 Mini vs Grok 4.7</a></p>