Enter opens the highlighted result. Esc closes.

Gemini 3.5 Flash vs Grok 4.6

Updated October 21, 2026. 104 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.5 FlashGoogle
Coding
42.8
Overall
33.6
Output $/M
$9.00
50
Grok 4.6xAI
Coding
76.4
Overall
44.3
Output $/M
$6.00
54
vs boards won of 104 shared

Decision reading

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 42.8 for Gemini 3.5 Flash.

Pick Gemini 3.5 Flash when the context window is larger, 1.05M against 500K tokens, or when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
104
Gemini 3.5 Flash only
6
Grok 4.6 only
19
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 3.5 Flash 42.8 from 1 benchmark, Grok 4.6 76.4 from 2 benchmarks.
Widest category
Agentic work, 12.1 points apart on average over 15 shared benchmarks.
Widest single gap
APEX-Agents: Gemini 3.5 Flash 27.5% against Grok 4.6 65.3%, 37.8 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Grok 4.6 $6.00 per million output tokens, 1.5x apart.
Context window
Gemini 3.5 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 3.5 FlashBarsGrok 4.6Ties
Coding215
Intelligence02
Agentic work213
Reasoning96
Math24
Knowledge92
Web design17
General255
All shared boards5054
CodingLike-for-likeFour of these boards feed the Vibe Coding Index215
Coding benchmarks for Gemini 3.5 Flash and Grok 4.6
BenchmarkGemini 3.5 FlashGrok 4.6Leader
LiveBench codingNot measured89.1%Only Grok 4.6 measured
LMArena WebDev14991617Grok 4.6
AA Coding IndexNot measured76.8Only Grok 4.6 measured
LiveCodeBench (Vals AI)87.6%88.2%Grok 4.6
SWE-bench Verified (Vals AI)78.8%95.6%Grok 4.6
Terminal-Bench 4 (Vals AI)6.1%17.2%Grok 4.6
Vibe Code Bench (Vals AI)48.7%76.2%Grok 4.6
Code migration (Vals AI)26.8%44.6%Grok 4.6
ProgramBench (Vals AI)0.0%1.0%Grok 4.6
IOI (Vals AI)Not measured47.6%Only Grok 4.6 measured
Terminal-Bench 2.1 (Vals AI)74.2%78.3%Grok 4.6
Vibe Code Bench 1-100 (Vals AI)Not measured14.8%Only Grok 4.6 measured
SkillsBench (Vals AI)52.7%55.8%Grok 4.6
CyberBench (Vals AI)Not measured67.7%Only Grok 4.6 measured
SciCode53.9%56.5%Grok 4.6
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
FrontierCodeNot measured48.0%Only Grok 4.6 measured
FrontierSWENot measured25.3%Only Grok 4.6 measured
WeirdML62.6%67.3%Grok 4.6
ALE-Bench911.01508.1Grok 4.6
LMArena Text: coding14931466Gemini 3.5 Flash
LMArena Text: software and IT14941457Gemini 3.5 Flash
LMArena WebDev: React14951631Grok 4.6
LMArena WebDev: HTML15221597Grok 4.6
LMArena WebDev: from an image15041603Grok 4.6
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 Gemini 3.5 Flash and Grok 4.6
BenchmarkGemini 3.5 FlashGrok 4.6Leader
AA Intelligence Index33.644.3Grok 4.6
Epoch Capabilities Index154.9156.6Grok 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index213
Agentic work benchmarks for Gemini 3.5 Flash and Grok 4.6
BenchmarkGemini 3.5 FlashGrok 4.6Leader
AA Agentic IndexNot measured53.0Only Grok 4.6 measured
Design Arena: agents building web apps12021247Grok 4.6
Design Arena: agents building full-stack apps11971264Grok 4.6
Design Arena: agents building mobile apps11751234Grok 4.6
Design Arena: agents building Android apps11901297Grok 4.6
Design Arena: agents building Godot games10981276Grok 4.6
Design Arena: agents building games11801208Grok 4.6
Design Arena: HTML slides11421249Grok 4.6
Design Arena: PowerPoint slides11781241Grok 4.6
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)57.9%53.7%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%33.1%Grok 4.6
Legal Research Bench (Vals AI)30.8%48.1%Grok 4.6
Excel Modeling Benchmark (Vals AI)63.5%62.7%Gemini 3.5 Flash
BioMysteryBench (Vals AI)Not measured72.2%Only Grok 4.6 measured
Terminal-Bench-Science (Vals AI)5.7%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
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%65.3%Grok 4.6
Vending-Bench 2$5,396$9,047Grok 4.6
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index96
Reasoning benchmarks for Gemini 3.5 Flash and Grok 4.6
BenchmarkGemini 3.5 FlashGrok 4.6Leader
GPQA Diamond92.7%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)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%94.9%Grok 4.6
Humanity's Last Exam (Artificial Analysis run)42.7%44.1%Grok 4.6
GPQA Diamond (Epoch AI run)92.8%94.0%Grok 4.6
ARC-AGI92.5%87.5%Gemini 3.5 Flash
ARC-AGI-272.1%67.1%Gemini 3.5 Flash
SimpleBench76.7%75.9%Gemini 3.5 Flash
Chess puzzles45.0%33.0%Gemini 3.5 Flash
Mystery game puzzles32.0%34.0%Grok 4.6
EBR-bench4.8%30.5%Grok 4.6
LMArena Text: hard prompts14881448Gemini 3.5 Flash
LMArena Text: expert14951469Gemini 3.5 Flash
LMArena Text: hard prompts in English14831445Gemini 3.5 Flash
LMArena Vision: diagrams13231285Gemini 3.5 Flash
LMArena Vision: homework13301283Gemini 3.5 Flash
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Gemini 3.5 Flash and Grok 4.6
BenchmarkGemini 3.5 FlashGrok 4.6Leader
OTIS Mock AIME95.6%99.2%Grok 4.6
FrontierMath, tiers 1 to 362.8%66.0%Grok 4.6
FrontierMath, tier 426.8%31.7%Grok 4.6
ProofBench31.0%51.0%Grok 4.6
LMArena Text: math15041417Gemini 3.5 Flash
LMArena Text: mathematical work14951464Gemini 3.5 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 3.5 Flash and Grok 4.6
BenchmarkGemini 3.5 FlashGrok 4.6Leader
MMLU Pro89.5%89.4%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%86.3%Grok 4.6
CorpFin (Vals AI)64.7%66.2%Grok 4.6
TaxEval (Vals AI)74.4%71.1%Gemini 3.5 Flash
MortgageTax (Vals AI)68.1%64.2%Gemini 3.5 Flash
MedCode (Vals AI)55.8%44.7%Gemini 3.5 Flash
SimpleQA Verified66.2%49.3%Gemini 3.5 Flash
LMArena Text: science14951437Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831420Gemini 3.5 Flash
LMArena Text: legal and government14881429Gemini 3.5 Flash
LMArena Text: business and finance14671416Gemini 3.5 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Gemini 3.5 Flash and Grok 4.6
BenchmarkGemini 3.5 FlashGrok 4.6Leader
Design Arena: websites12681289Grok 4.6
Design Arena: UI components12721294Grok 4.6
Design Arena: game dev12631296Grok 4.6
Design Arena: data viz12361283Grok 4.6
Design Arena: 3D12441277Grok 4.6
Design Arena: all code categories12661292Grok 4.6
Design Arena: SVG12541239Gemini 3.5 Flash
Design Arena: ASCII art12531278Grok 4.6
LiveBench designNot measured79.8%Only Grok 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index255
General benchmarks for Gemini 3.5 Flash and Grok 4.6
BenchmarkGemini 3.5 FlashGrok 4.6Leader
LiveBench data analysisNot measured75.3%Only Grok 4.6 measured
Public Benefits Bench (Vals AI)59.5%66.8%Grok 4.6
SAGE (Vals AI)49.9%28.9%Gemini 3.5 Flash
MedScribe (Vals AI)76.6%86.5%Grok 4.6
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%81.0%Grok 4.6
DTBench94.7%97.3%Grok 4.6
LMCA47.1%48.5%Grok 4.6
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
Furniture assemblyNot measured40.0%Only Grok 4.6 measured
LMArena Text14821429Gemini 3.5 Flash
LMArena Text: instruction following14671431Gemini 3.5 Flash
LMArena Text: creative writing14701426Gemini 3.5 Flash
LMArena Vision13081263Gemini 3.5 Flash
LMArena Text: English14811433Gemini 3.5 Flash
LMArena Text: non-English14751420Gemini 3.5 Flash
LMArena Text: Chinese15271476Gemini 3.5 Flash
LMArena Text: German14941426Gemini 3.5 Flash
LMArena Text: Japanese14861378Gemini 3.5 Flash
LMArena Text: Korean14481391Gemini 3.5 Flash
LMArena Text: French14901455Gemini 3.5 Flash
LMArena Text: Spanish14801414Gemini 3.5 Flash
LMArena Text: Russian14931421Gemini 3.5 Flash
LMArena Text: Polish15161430Gemini 3.5 Flash
LMArena Text: multi-turn14811425Gemini 3.5 Flash
LMArena Text: longer queries14831456Gemini 3.5 Flash
LMArena Text: writing and language14781429Gemini 3.5 Flash
LMArena Text: entertainment and media14591421Gemini 3.5 Flash
LMArena Vision: English13051270Gemini 3.5 Flash
LMArena Vision: Chinese13771289Gemini 3.5 Flash
LMArena Vision: reading text13171272Gemini 3.5 Flash
LMArena Vision: humor13211270Gemini 3.5 Flash
LMArena Vision: creative writing13011262Gemini 3.5 Flash
LMArena Document14631452Gemini 3.5 Flash
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash and Grok 4.6
BenchmarkGemini 3.5 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 3.5 Flash$0.0060Fits in one request
Grok 4.6$0.0050Fits in one request

Grok 4.6 costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Grok 4.6$0.118Fits in one request

Gemini 3.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
Grok 4.6$0.460Fits in one request

Gemini 3.5 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 3.5 Flash and Grok 4.6
SpecificationGoogle Gemini 3.5 FlashSpaceXAI Grok 4.6
MakerGooglexAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 19, 2026August 12, 2026
Context window1.05M500K
Input $/Mtok$1.50$2.00
Output $/Mtok$9.00$6.00
Coding index42.876.4
Independent measurements behind it12
Cost per solved task$1.21$0.82
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Grok 4.6 for coding?

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 42.8 for Gemini 3.5 Flash. Pick Gemini 3.5 Flash when the context window is larger, 1.05M against 500K tokens, or when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Gemini 3.5 Flash or Grok 4.6?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Grok 4.6 costs $2.00 and $6.00. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and Grok 4.6 $0.82.

Which has the bigger context window, Gemini 3.5 Flash or Grok 4.6?

Gemini 3.5 Flash, with 1.05M tokens against 500K.

How many benchmarks is the Gemini 3.5 Flash vs Grok 4.6 comparison based on?

104 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 1 independent benchmark and Grok 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next