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Gemini 3.6 Flash vs Grok 4.6

Grok 4.6 leads Gemini 3.6 Flash on coding, 65.7 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; 104 benchmarks have a result for both.

Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
51
Grok 4.6xAI
Coding
65.7
Overall
67.4
Output $/M
$6.00
52
vs boards won of 104 shared, 1 tied

Gemini 3.6 Flash or Grok 4.6: which to pick

Pick Grok 4.6 for coding: it scores 65.7 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).

Shared results
104
Gemini 3.6 Flash only
5
Grok 4.6 only
19
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 4.6 65.7 from 6 benchmarks.
Widest category
Agentic work, 11.7 points apart on average over 15 shared benchmarks.
Widest single gap
ALE-Bench: Gemini 3.6 Flash 715.5 against Grok 4.6 1508.1, 26.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Grok 4.6 $6.00 per million output tokens, 1.6x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, Grok 4.6 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 4.6Ties
Coding217
Intelligence02
Agentic work213
Reasoning85
Math24
Knowledge92
Web design331 tie
General256
All shared boards51521 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index217
Coding benchmarks for Gemini 3.6 Flash and Grok 4.6
BenchmarkGemini 3.6 FlashGrok 4.6Leader
LiveBench codingNot measured89.1%Only Grok 4.6 measured
LMArena WebDev15381617Grok 4.6
AA Coding Index69.276.8Grok 4.6
LiveCodeBench (Vals AI)88.1%88.2%Grok 4.6
SWE-bench Verified (Vals AI)79.6%95.6%Grok 4.6
Terminal-Bench 4 (Vals AI)Not measured17.2%Only Grok 4.6 measured
Vibe Code Bench (Vals AI)64.0%76.2%Grok 4.6
Code migration (Vals AI)30.9%44.6%Grok 4.6
ProgramBench (Vals AI)0.0%1.0%Grok 4.6
IOI (Vals AI)35.1%47.6%Grok 4.6
Terminal-Bench 2.1 (Vals AI)73.8%78.3%Grok 4.6
Vibe Code Bench 1-100 (Vals AI)Not measured14.8%Only Grok 4.6 measured
SkillsBench (Vals AI)Not measured55.8%Only Grok 4.6 measured
CyberBench (Vals AI)45.4%67.7%Grok 4.6
SciCode53.4%56.5%Grok 4.6
FrontierCode34.4%48.0%Grok 4.6
FrontierSWENot measured25.3%Only Grok 4.6 measured
WeirdML56.1%67.3%Grok 4.6
ALE-Bench715.51508.1Grok 4.6
LMArena Text: coding14911466Gemini 3.6 Flash
LMArena Text: software and IT14921457Gemini 3.6 Flash
LMArena WebDev: React15281631Grok 4.6
LMArena WebDev: HTML15471597Grok 4.6
LMArena WebDev: from an image15451603Grok 4.6
SciCode10.8%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.6 Flash and Grok 4.6
BenchmarkGemini 3.6 FlashGrok 4.6Leader
AA Intelligence Index34.044.3Grok 4.6
Epoch Capabilities Index154.5156.6Grok 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index213
Agentic work benchmarks for Gemini 3.6 Flash and Grok 4.6
BenchmarkGemini 3.6 FlashGrok 4.6Leader
AA Agentic Index29.053.0Grok 4.6
Design Arena: agents building web apps11971248Grok 4.6
Design Arena: agents building full-stack apps11811264Grok 4.6
Design Arena: agents building mobile apps11981234Grok 4.6
Design Arena: agents building Android apps12041291Grok 4.6
Design Arena: agents building Godot gamesNot measured1276Only Grok 4.6 measured
Design Arena: agents building games11801209Grok 4.6
Design Arena: HTML slides10991250Grok 4.6
Design Arena: PowerPoint slides11211237Grok 4.6
Design Arena: spreadsheets1071Not measuredOnly Gemini 3.6 Flash measured
LiveBench researchNot measured84.5%Only Grok 4.6 measured
LiveBench browserNot measured64.0%Only Grok 4.6 measured
LiveBench long agenticNot measured40.7%Only Grok 4.6 measured
Finance Agent (Vals AI)56.3%53.7%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%33.1%Grok 4.6
Legal Research Bench (Vals AI)25.0%48.1%Grok 4.6
Excel Modeling Benchmark (Vals AI)65.4%62.7%Gemini 3.6 Flash
BioMysteryBench (Vals AI)58.5%72.2%Grok 4.6
Terminal-Bench-Science (Vals AI)4.3%11.4%Grok 4.6
Vals Science IndexNot measured38.1%Only Grok 4.6 measured
Time Horizon Index (Vals AI)Not measured5.8%Only Grok 4.6 measured
APEX-Agents46.9%65.3%Grok 4.6
Vending-Bench 2Not measured$9,047Only Grok 4.6 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index85
Reasoning benchmarks for Gemini 3.6 Flash and Grok 4.6
BenchmarkGemini 3.6 FlashGrok 4.6Leader
GPQA Diamond93.4%94.7%Grok 4.6
LiveBench reasoningNot measured91.2%Only Grok 4.6 measured
MysteryMechanism (Vals AI)Not measured30.6%Only Grok 4.6 measured
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%94.9%Grok 4.6
Humanity's Last Exam (Artificial Analysis run)40.8%44.1%Grok 4.6
GPQA Diamond (Epoch AI run)94.1%94.0%Gemini 3.6 Flash
ARC-AGI91.2%87.5%Gemini 3.6 Flash
ARC-AGI-260.4%67.1%Grok 4.6
SimpleBenchNot measured75.9%Only Grok 4.6 measured
Chess puzzles42.0%33.0%Gemini 3.6 Flash
Mystery game puzzles30.0%34.0%Grok 4.6
EBR-benchNot measured30.5%Only Grok 4.6 measured
LMArena Text: hard prompts14861448Gemini 3.6 Flash
LMArena Text: expert14901469Gemini 3.6 Flash
LMArena Text: hard prompts in English14841445Gemini 3.6 Flash
LMArena Vision: diagrams13141285Gemini 3.6 Flash
LMArena Vision: homework13141283Gemini 3.6 Flash
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Gemini 3.6 Flash and Grok 4.6
BenchmarkGemini 3.6 FlashGrok 4.6Leader
OTIS Mock AIME94.2%99.2%Grok 4.6
FrontierMath, tiers 1 to 358.9%66.0%Grok 4.6
FrontierMath, tier 422.0%31.7%Grok 4.6
ProofBench36.0%51.0%Grok 4.6
LMArena Text: math15081417Gemini 3.6 Flash
LMArena Text: mathematical work14921464Gemini 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 index92
Knowledge benchmarks for Gemini 3.6 Flash and Grok 4.6
BenchmarkGemini 3.6 FlashGrok 4.6Leader
MMLU Pro89.3%89.4%Grok 4.6
LegalBench (Vals AI)86.7%86.3%Gemini 3.6 Flash
CorpFin (Vals AI)63.3%66.2%Grok 4.6
TaxEval (Vals AI)74.9%71.1%Gemini 3.6 Flash
MortgageTax (Vals AI)67.6%64.2%Gemini 3.6 Flash
MedCode (Vals AI)53.1%44.7%Gemini 3.6 Flash
SimpleQA Verified66.2%49.3%Gemini 3.6 Flash
LMArena Text: science14891437Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691420Gemini 3.6 Flash
LMArena Text: legal and government14791429Gemini 3.6 Flash
LMArena Text: business and finance14641416Gemini 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 index33
Web design benchmarks for Gemini 3.6 Flash and Grok 4.6
BenchmarkGemini 3.6 FlashGrok 4.6Leader
Design Arena: websites13001289Gemini 3.6 Flash
Design Arena: UI components12941294Tie
Design Arena: game dev12631296Grok 4.6
Design Arena: data viz12891282Gemini 3.6 Flash
Design Arena: 3D12711277Grok 4.6
Design Arena: all code categories12891292Grok 4.6
Design Arena: SVGNot measured1240Only Grok 4.6 measured
Design Arena: ASCII art12811279Gemini 3.6 Flash
LiveBench designNot measured79.8%Only Grok 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index256
General benchmarks for Gemini 3.6 Flash and Grok 4.6
BenchmarkGemini 3.6 FlashGrok 4.6Leader
LiveBench data analysisNot measured75.3%Only Grok 4.6 measured
Public Benefits Bench (Vals AI)56.6%66.8%Grok 4.6
SAGE (Vals AI)48.7%28.9%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%86.5%Grok 4.6
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%81.0%Grok 4.6
DTBench95.5%97.3%Grok 4.6
LMCA44.9%48.5%Grok 4.6
Furniture assembly23.3%40.0%Grok 4.6
LMArena Text14801429Gemini 3.6 Flash
LMArena Text: instruction following14671431Gemini 3.6 Flash
LMArena Text: creative writing14661426Gemini 3.6 Flash
LMArena Vision12991263Gemini 3.6 Flash
LMArena Text: English14821433Gemini 3.6 Flash
LMArena Text: non-English14701420Gemini 3.6 Flash
LMArena Text: Chinese15311476Gemini 3.6 Flash
LMArena Text: German14801426Gemini 3.6 Flash
LMArena Text: Japanese14751378Gemini 3.6 Flash
LMArena Text: Korean14291391Gemini 3.6 Flash
LMArena Text: French15031455Gemini 3.6 Flash
LMArena Text: Spanish14761414Gemini 3.6 Flash
LMArena Text: Russian14881421Gemini 3.6 Flash
LMArena Text: Polish14731430Gemini 3.6 Flash
LMArena Text: multi-turn14811425Gemini 3.6 Flash
LMArena Text: longer queries14751456Gemini 3.6 Flash
LMArena Text: writing and language14701429Gemini 3.6 Flash
LMArena Text: entertainment and media14561421Gemini 3.6 Flash
LMArena Vision: English12951270Gemini 3.6 Flash
LMArena Vision: Chinese13571289Gemini 3.6 Flash
LMArena Vision: reading text13121272Gemini 3.6 Flash
LMArena Vision: humor12891270Gemini 3.6 Flash
LMArena Vision: creative writing12781262Gemini 3.6 Flash
LMArena Document14561452Gemini 3.6 Flash
Neither model has a result on the other 13 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 4.6
BenchmarkGemini 3.6 FlashGrok 4.6Leader
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 4.6$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 4.6$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 4.6$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 4.6
SpecificationGoogle Gemini 3.6 FlashSpaceXAI Grok 4.6
MakerGooglexAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026August 12, 2026
Context window1.05M500K
Input $/Mtok$0.75$2.00
Output $/Mtok$3.75$6.00
Coding index62.565.7
Independent measurements behind it46
Cost per solved task$1.49$0.82
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Grok 4.6 for coding?

Pick Grok 4.6 for coding: it scores 65.7 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 4.6?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Grok 4.6 costs $2.00 and $6.00. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and Grok 4.6 $0.82.

Which has the bigger context window, Gemini 3.6 Flash or Grok 4.6?

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

How many benchmarks is the Gemini 3.6 Flash vs Grok 4.6 comparison based on?

104 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 4.6's on 6. Where only one model has a result, the page says so instead of naming a winner.

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