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Gemini 3.6 Flash vs Grok 4.7

Grok 4.7 leads Gemini 3.6 Flash on coding, 66.7 to 62.5 on the Vibe Coding Index, and Gemini 3.6 Flash costs 1.6x less per output token ($3.75 vs $6.00 per million). Updated October 22, 2026; 82 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace Grok 4.7
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
54
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
27
vs boards won of 82 shared, 1 tied

Gemini 3.6 Flash or Grok 4.7: which to pick

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash for output tokens 1.6x cheaper ($3.75 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGrok 4.7xAI66.7/1005 independent benchmarksNo cost per solved task
Shared results
82
Gemini 3.6 Flash only
27
Grok 4.7 only
17
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
Gemini 3.6 Flash 62.5 from 4 benchmarks, Grok 4.7 66.7 from 5 benchmarks.
Widest category
Coding, 12.3 points apart on average over 14 shared benchmarks.
Widest single gap
CyberBench (Vals AI): Gemini 3.6 Flash 45.4% against Grok 4.7 69.5%, 24.1 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Grok 4.7 $6.00 per million output tokens, 1.6x apart.
Context window
Gemini 3.6 Flash 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
CategoryGemini 3.6 FlashBarsGrok 4.7Ties
Coding311
Intelligence11
Agentic work16
Reasoning92
Math51
Knowledge70
Web design42
General2441 tie
All shared boards54271 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index311
Coding benchmarks for Gemini 3.6 Flash and Grok 4.7
BenchmarkGemini 3.6 FlashGrok 4.7Leader
LiveBench codingNot measured84.5%Only Grok 4.7 measured
LMArena WebDev15381637Grok 4.7
AA Coding Index69.2Not measuredOnly Gemini 3.6 Flash measured
LiveCodeBench (Vals AI)88.1%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 4 (Vals AI)Not measured28.8%Only Grok 4.7 measured
Vibe Code Bench (Vals AI)64.0%86.2%Grok 4.7
Code migration (Vals AI)30.9%44.8%Grok 4.7
ProgramBench (Vals AI)0.0%0.5%Grok 4.7
IOI (Vals AI)35.1%57.7%Grok 4.7
Terminal-Bench 2.1 (Vals AI)73.8%73.4%Gemini 3.6 Flash
SWE-bench Multimodal (Vals AI)Not measured42.9%Only Grok 4.7 measured
CyberBench (Vals AI)45.4%69.5%Grok 4.7
SciCode53.4%57.8%Grok 4.7
FrontierCode34.4%47.6%Grok 4.7
FrontierSWENot measured29.5%Only Grok 4.7 measured
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.5Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: coding14911432Gemini 3.6 Flash
LMArena Text: software and IT14921421Gemini 3.6 Flash
LMArena WebDev: React15281663Grok 4.7
LMArena WebDev: HTML15471627Grok 4.7
LMArena WebDev: from an image15451586Grok 4.7
SciCode10.8%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 3.6 Flash and Grok 4.7
BenchmarkGemini 3.6 FlashGrok 4.7Leader
AA Intelligence Index34.046.4Grok 4.7
Epoch Capabilities Index154.5154.4Gemini 3.6 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index16
Agentic work benchmarks for Gemini 3.6 Flash and Grok 4.7
BenchmarkGemini 3.6 FlashGrok 4.7Leader
AA Agentic Index29.0Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building web apps1197Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building mobile apps1198Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1204Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1099Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides1121Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1071Not measuredOnly Gemini 3.6 Flash measured
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)56.3%52.3%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%34.2%Grok 4.7
Legal Research Bench (Vals AI)25.0%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)65.4%67.0%Grok 4.7
BioMysteryBench (Vals AI)58.5%69.3%Grok 4.7
Terminal-Bench-Science (Vals AI)4.3%10.0%Grok 4.7
Vals Science IndexNot measured34.8%Only Grok 4.7 measured
Robo-bench (Vals AI)Not measured0.2%Only Grok 4.7 measured
APEX-Agents46.9%54.6%Grok 4.7
Vending-Bench 2Not measured$10,537Only Grok 4.7 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index92
Reasoning benchmarks for Gemini 3.6 Flash and Grok 4.7
BenchmarkGemini 3.6 FlashGrok 4.7Leader
GPQA Diamond93.4%Not measuredOnly Gemini 3.6 Flash 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)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%Not measuredOnly Gemini 3.6 Flash measured
Humanity's Last Exam (Artificial Analysis run)40.8%43.1%Grok 4.7
GPQA Diamond (Epoch AI run)94.1%92.7%Gemini 3.6 Flash
ARC-AGI91.2%90.2%Gemini 3.6 Flash
ARC-AGI-260.4%61.4%Grok 4.7
Chess puzzles42.0%41.0%Gemini 3.6 Flash
Mystery game puzzles30.0%29.0%Gemini 3.6 Flash
LMArena Text: hard prompts14861415Gemini 3.6 Flash
LMArena Text: expert14901439Gemini 3.6 Flash
LMArena Text: hard prompts in English14841427Gemini 3.6 Flash
LMArena Vision: diagrams13141254Gemini 3.6 Flash
LMArena Vision: homework13141309Gemini 3.6 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for Gemini 3.6 Flash and Grok 4.7
BenchmarkGemini 3.6 FlashGrok 4.7Leader
OTIS Mock AIME94.2%98.1%Grok 4.7
FrontierMath, tiers 1 to 358.9%53.0%Gemini 3.6 Flash
FrontierMath, tier 422.0%17.1%Gemini 3.6 Flash
ProofBench36.0%26.0%Gemini 3.6 Flash
LMArena Text: math15081414Gemini 3.6 Flash
LMArena Text: mathematical work14921435Gemini 3.6 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Gemini 3.6 Flash and Grok 4.7
BenchmarkGemini 3.6 FlashGrok 4.7Leader
MMLU Pro89.3%Not measuredOnly Gemini 3.6 Flash measured
LegalBench (Vals AI)86.7%84.4%Gemini 3.6 Flash
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%Not measuredOnly Gemini 3.6 Flash measured
MortgageTax (Vals AI)67.6%Not measuredOnly Gemini 3.6 Flash measured
MedCode (Vals AI)53.1%49.5%Gemini 3.6 Flash
SimpleQA Verified66.2%56.0%Gemini 3.6 Flash
LMArena Text: science14891419Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691395Gemini 3.6 Flash
LMArena Text: legal and government14791423Gemini 3.6 Flash
LMArena Text: business and finance14641389Gemini 3.6 Flash
FACTS Benchmark Suite65.3%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index42
Web design benchmarks for Gemini 3.6 Flash and Grok 4.7
BenchmarkGemini 3.6 FlashGrok 4.7Leader
Design Arena: websites13001255Gemini 3.6 Flash
Design Arena: UI components12941275Gemini 3.6 Flash
Design Arena: game dev12631314Grok 4.7
Design Arena: data viz12891238Gemini 3.6 Flash
Design Arena: 3D12711274Grok 4.7
Design Arena: all code categories12891273Gemini 3.6 Flash
Design Arena: ASCII art1281Not measuredOnly Gemini 3.6 Flash measured
LiveBench designNot measured78.0%Only Grok 4.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index244
General benchmarks for Gemini 3.6 Flash and Grok 4.7
BenchmarkGemini 3.6 FlashGrok 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)56.6%65.6%Grok 4.7
SAGE (Vals AI)48.7%40.8%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%89.4%Grok 4.7
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%80.0%Tie
DTBench95.5%96.0%Grok 4.7
LMCA44.9%49.4%Grok 4.7
Furniture assembly23.3%20.8%Gemini 3.6 Flash
LMArena Text14801399Gemini 3.6 Flash
LMArena Text: instruction following14671406Gemini 3.6 Flash
LMArena Text: creative writing14661381Gemini 3.6 Flash
LMArena Vision12991231Gemini 3.6 Flash
LMArena Text: English14821411Gemini 3.6 Flash
LMArena Text: non-English14701386Gemini 3.6 Flash
LMArena Text: Chinese15311449Gemini 3.6 Flash
LMArena Text: German14801366Gemini 3.6 Flash
LMArena Text: Japanese14751359Gemini 3.6 Flash
LMArena Text: Korean14291383Gemini 3.6 Flash
LMArena Text: French15031431Gemini 3.6 Flash
LMArena Text: Spanish14761406Gemini 3.6 Flash
LMArena Text: Russian14881399Gemini 3.6 Flash
LMArena Text: Polish14731420Gemini 3.6 Flash
LMArena Text: multi-turn14811394Gemini 3.6 Flash
LMArena Text: longer queries14751416Gemini 3.6 Flash
LMArena Text: writing and language14701394Gemini 3.6 Flash
LMArena Text: entertainment and media14561376Gemini 3.6 Flash
LMArena Vision: English12951229Gemini 3.6 Flash
LMArena Vision: Chinese13571250Gemini 3.6 Flash
LMArena Vision: reading text13121241Gemini 3.6 Flash
LMArena Vision: humor1289Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: creative writing12781217Gemini 3.6 Flash
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.6 Flash and Grok 4.7
BenchmarkGemini 3.6 FlashGrok 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

Gemini 3.6 Flash$0.0026Fits in one request
Grok 4.7$0.0050Fits in one request

Gemini 3.6 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
Grok 4.7$0.118Fits in one request

Gemini 3.6 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
Grok 4.7$0.460Fits in one request

Gemini 3.6 Flash 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 Gemini 3.6 Flash and Grok 4.7
SpecificationGoogle Gemini 3.6 FlashSpaceXAI Grok 4.7
MakerGooglexAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026September 21, 2026
Context window1.05M500K
Input $/Mtok$0.75$2.00
Output $/Mtok$3.75$6.00
Coding index62.566.7
Independent measurements behind it45
Cost per solved task$1.49Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Grok 4.7 for coding?

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash for output tokens 1.6x cheaper ($3.75 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).

Which is cheaper, Gemini 3.6 Flash or Grok 4.7?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or Grok 4.7?

Gemini 3.6 Flash, with 1.05M tokens against 500K.

How many benchmarks is the Gemini 3.6 Flash vs Grok 4.7 comparison based on?

82 benchmarks have a result for both models as of October 22, 2026. Gemini 3.6 Flash's coding index rests on 4 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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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-6-flash-vs-grok-4-7" title="Gemini 3.6 Flash 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/gemini-3-6-flash-vs-grok-4-7">LLMBenchmark.ai, Gemini 3.6 Flash vs Grok 4.7</a></p>