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Gemini 3.6 Flash vs Grok 4.5

Updated October 21, 2026. 102 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.6 Flash Replace Grok 4.5
Gemini 3.6 FlashGoogle
Coding
48.3
Overall
34.0
Output $/M
$3.75
66
Grok 4.5xAI
Coding
75.5
Overall
38.8
Output $/M
$6.00
34
vs boards won of 102 shared, 2 tied

Decision reading

Pick Grok 4.5 for coding: it scores 75.5 on the Vibe Coding Index against 48.3 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash when output tokens cost 1.6x less, or when the context window is larger, 1.05M against 500K tokens.

Model AGemini 3.6 FlashGoogle48.3/1001 independent benchmark$1.49 per solved taskModel BGrok 4.5xAI75.5/1002 independent benchmarks$0.62 per solved task
Shared results
102
Gemini 3.6 Flash only
5
Grok 4.5 only
18
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 3.6 Flash 48.3 from 1 benchmark, Grok 4.5 75.5 from 2 benchmarks.
Widest category
Agentic work, 8.0 points apart on average over 13 shared benchmarks.
Widest single gap
MMMU Pro (Vals AI): Gemini 3.6 Flash 88.4% against Grok 4.5 61.8%, 26.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Grok 4.5 $6.00 per million output tokens, 1.6x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, Grok 4.5 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 4.5Ties
Coding5131 tie
Intelligence11
Agentic work211
Reasoning112
Math42
Knowledge101
Web design601 tie
General274
All shared boards66342 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index513
Coding benchmarks for Gemini 3.6 Flash and Grok 4.5
BenchmarkGemini 3.6 FlashGrok 4.5Leader
LiveBench codingNot measured94.3%Only Grok 4.5 measured
LMArena WebDev15381553Grok 4.5
AA Coding Index69.272.4Grok 4.5
LiveCodeBench (Vals AI)88.1%87.3%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)79.6%86.6%Grok 4.5
Terminal-Bench 4 (Vals AI)Not measured8.6%Only Grok 4.5 measured
Vibe Code Bench (Vals AI)64.0%69.0%Grok 4.5
Code migration (Vals AI)30.9%36.6%Grok 4.5
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)35.1%40.6%Grok 4.5
Terminal-Bench 2.1 (Vals AI)73.8%67.8%Gemini 3.6 Flash
SkillsBench (Vals AI)Not measured66.0%Only Grok 4.5 measured
CyberBench (Vals AI)45.4%71.0%Grok 4.5
SciCode53.4%55.0%Grok 4.5
FrontierCode34.4%42.4%Grok 4.5
WeirdML56.1%46.4%Gemini 3.6 Flash
ALE-Bench715.51309.3Grok 4.5
LMArena Text: coding14911474Gemini 3.6 Flash
LMArena Text: software and IT14921471Gemini 3.6 Flash
LMArena WebDev: React15281556Grok 4.5
LMArena WebDev: HTML15471567Grok 4.5
LMArena WebDev: from an image15451562Grok 4.5
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 3.6 Flash and Grok 4.5
BenchmarkGemini 3.6 FlashGrok 4.5Leader
AA Intelligence Index34.038.8Grok 4.5
Epoch Capabilities Index154.5154.1Gemini 3.6 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index211
Agentic work benchmarks for Gemini 3.6 Flash and Grok 4.5
BenchmarkGemini 3.6 FlashGrok 4.5Leader
AA Agentic Index29.041.2Grok 4.5
Design Arena: agents building web apps11971217Grok 4.5
Design Arena: agents building full-stack apps11811249Grok 4.5
Design Arena: agents building mobile apps11991221Grok 4.5
Design Arena: agents building Android apps12081242Grok 4.5
Design Arena: agents building Godot gamesNot measured1229Only Grok 4.5 measured
Design Arena: agents building games11811235Grok 4.5
Design Arena: HTML slides11481204Grok 4.5
Design Arena: PowerPoint slides11461232Grok 4.5
Design Arena: spreadsheets1017Not measuredOnly Gemini 3.6 Flash measured
LiveBench researchNot measured85.9%Only Grok 4.5 measured
LiveBench browserNot measured44.0%Only Grok 4.5 measured
LiveBench long agenticNot measured27.9%Only Grok 4.5 measured
SREBench (Vals AI)Not measured0.8%Only Grok 4.5 measured
Finance Agent (Vals AI)56.3%48.4%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%24.9%Grok 4.5
Legal Research Bench (Vals AI)25.0%38.0%Grok 4.5
Excel Modeling Benchmark (Vals AI)65.4%52.9%Gemini 3.6 Flash
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Gemini 3.6 Flash measured
Time Horizon Index (Vals AI)Not measured6.3%Only Grok 4.5 measured
APEX-Agents46.9%56.2%Grok 4.5
PostTrainBenchNot measured23.4%Only Grok 4.5 measured
Vending-Bench 2Not measured$3,887Only Grok 4.5 measured
LMArena SearchNot measured1216Only Grok 4.5 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index112
Reasoning benchmarks for Gemini 3.6 Flash and Grok 4.5
BenchmarkGemini 3.6 FlashGrok 4.5Leader
GPQA Diamond93.4%92.9%Gemini 3.6 Flash
LiveBench reasoningNot measured87.2%Only Grok 4.5 measured
MMMU Pro (Vals AI)88.4%61.8%Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)92.8%93.1%Grok 4.5
Humanity's Last Exam (Artificial Analysis run)40.8%42.7%Grok 4.5
GPQA Diamond (Epoch AI run)94.1%93.4%Gemini 3.6 Flash
ARC-AGI91.2%87.2%Gemini 3.6 Flash
ARC-AGI-260.4%52.6%Gemini 3.6 Flash
SimpleBenchNot measured70.0%Only Grok 4.5 measured
Chess puzzles42.0%35.0%Gemini 3.6 Flash
Mystery game puzzles30.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: hard prompts14861462Gemini 3.6 Flash
LMArena Text: expert14901465Gemini 3.6 Flash
LMArena Text: hard prompts in English14841464Gemini 3.6 Flash
LMArena Vision: diagrams13141304Gemini 3.6 Flash
LMArena Vision: homework13141295Gemini 3.6 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for Gemini 3.6 Flash and Grok 4.5
BenchmarkGemini 3.6 FlashGrok 4.5Leader
OTIS Mock AIME94.2%97.8%Grok 4.5
FrontierMath, tiers 1 to 358.9%57.2%Gemini 3.6 Flash
FrontierMath, tier 422.0%24.4%Grok 4.5
ProofBench36.0%31.0%Gemini 3.6 Flash
LMArena Text: math15081460Gemini 3.6 Flash
LMArena Text: mathematical work14921482Gemini 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 index101
Knowledge benchmarks for Gemini 3.6 Flash and Grok 4.5
BenchmarkGemini 3.6 FlashGrok 4.5Leader
MMLU Pro89.3%89.2%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%86.0%Gemini 3.6 Flash
CorpFin (Vals AI)63.3%67.4%Grok 4.5
TaxEval (Vals AI)74.9%71.7%Gemini 3.6 Flash
MortgageTax (Vals AI)67.6%61.8%Gemini 3.6 Flash
MedCode (Vals AI)53.1%43.3%Gemini 3.6 Flash
SimpleQA Verified66.2%48.3%Gemini 3.6 Flash
LMArena Text: science14891464Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691440Gemini 3.6 Flash
LMArena Text: legal and government14791463Gemini 3.6 Flash
LMArena Text: business and finance14641441Gemini 3.6 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Gemini 3.6 Flash and Grok 4.5
BenchmarkGemini 3.6 FlashGrok 4.5Leader
Design Arena: websites13011281Gemini 3.6 Flash
Design Arena: UI components12971279Gemini 3.6 Flash
Design Arena: game dev12631263Tie
Design Arena: data viz12891267Gemini 3.6 Flash
Design Arena: 3D12721257Gemini 3.6 Flash
Design Arena: all code categories12901276Gemini 3.6 Flash
Design Arena: SVGNot measured1215Only Grok 4.5 measured
Design Arena: ASCII art12811257Gemini 3.6 Flash
LiveBench designNot measured78.1%Only Grok 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index274
General benchmarks for Gemini 3.6 Flash and Grok 4.5
BenchmarkGemini 3.6 FlashGrok 4.5Leader
LiveBench data analysisNot measured73.0%Only Grok 4.5 measured
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%35.0%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%86.9%Grok 4.5
Vals Multimodal Index65.1%63.4%Gemini 3.6 Flash
Long context reasoning (AA-LCR)80.0%79.3%Gemini 3.6 Flash
DTBench95.5%96.5%Grok 4.5
LMCA44.9%45.2%Grok 4.5
Surface Evolver BenchNot measured74.4%Only Grok 4.5 measured
Furniture assembly23.3%22.5%Gemini 3.6 Flash
LMArena Text14801448Gemini 3.6 Flash
LMArena Text: instruction following14671445Gemini 3.6 Flash
LMArena Text: creative writing14661442Gemini 3.6 Flash
LMArena Vision12991287Gemini 3.6 Flash
LMArena Text: English14821453Gemini 3.6 Flash
LMArena Text: non-English14701440Gemini 3.6 Flash
LMArena Text: Chinese15311495Gemini 3.6 Flash
LMArena Text: German14801448Gemini 3.6 Flash
LMArena Text: Japanese14751430Gemini 3.6 Flash
LMArena Text: Korean14291406Gemini 3.6 Flash
LMArena Text: French15031457Gemini 3.6 Flash
LMArena Text: Spanish14761451Gemini 3.6 Flash
LMArena Text: Russian14881449Gemini 3.6 Flash
LMArena Text: Polish14731432Gemini 3.6 Flash
LMArena Text: multi-turn14811456Gemini 3.6 Flash
LMArena Text: longer queries14751462Gemini 3.6 Flash
LMArena Text: writing and language14701445Gemini 3.6 Flash
LMArena Text: entertainment and media14561434Gemini 3.6 Flash
LMArena Vision: English12951285Gemini 3.6 Flash
LMArena Vision: Chinese13571345Gemini 3.6 Flash
LMArena Vision: reading text13121293Gemini 3.6 Flash
LMArena Vision: humor12891276Gemini 3.6 Flash
LMArena Vision: creative writing12781293Grok 4.5
LMArena Document14561452Gemini 3.6 Flash
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 4.5
BenchmarkGemini 3.6 FlashGrok 4.5Leader
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 4.5$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 4.5$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 4.5$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 4.5
SpecificationGoogle Gemini 3.6 FlashSpaceXAI Grok 4.5
MakerGooglexAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026July 8, 2026
Context window1.05M500K
Input $/Mtok$0.75$2.00
Output $/Mtok$3.75$6.00
Coding index48.375.5
Independent measurements behind it12
Cost per solved task$1.49$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Grok 4.5 for coding?

Pick Grok 4.5 for coding: it scores 75.5 on the Vibe Coding Index against 48.3 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash when output tokens cost 1.6x less, or when the context window is larger, 1.05M against 500K tokens.

Which is cheaper, Gemini 3.6 Flash or Grok 4.5?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Grok 4.5 costs $2.00 and $6.00. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and Grok 4.5 $0.62.

Which has the bigger context window, Gemini 3.6 Flash or Grok 4.5?

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

How many benchmarks is the Gemini 3.6 Flash vs Grok 4.5 comparison based on?

102 benchmarks have a result for both models as of October 21, 2026. Gemini 3.6 Flash's coding index rests on 1 independent benchmark and Grok 4.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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