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Gemini 3.7 Flash vs Grok 4.3

Gemini 3.7 Flash leads Grok 4.3 on coding, 58.0 to 37.4 on the Vibe Coding Index, and Grok 4.3 costs 1.5x less per output token ($2.50 vs $3.75 per million). Updated October 22, 2026; 91 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Grok 4.3
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
89
Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
1
vs boards won of 91 shared, 1 tied

Gemini 3.7 Flash or Grok 4.3: which to pick

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 37.4 for Grok 4.3.

Pick Grok 4.3 for output tokens 1.5x cheaper ($2.50 vs $3.75 per million) and a lower cost per solved task ($0.31 against $1.78).

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BGrok 4.3xAI37.4/1003 independent benchmarks$0.31 per solved task
Shared results
91
Gemini 3.7 Flash only
23
Grok 4.3 only
14
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 3.7 Flash 58.0 from 6 benchmarks, Grok 4.3 37.4 from 3 benchmarks.
Widest category
Agentic work, 27.0 points apart on average over 11 shared benchmarks.
Widest single gap
Excel Modeling Benchmark (Vals AI): Gemini 3.7 Flash 71.3% against Grok 4.3 18.4%, 52.9 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Grok 4.3 $2.50 per million output tokens, 1.5x apart.
Context window
Gemini 3.7 Flash takes 1.05M tokens, Grok 4.3 1M.

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 3.7 FlashBarsGrok 4.3Ties
Coding1411 tie
Intelligence10
Agentic work110
Reasoning110
Math60
Knowledge100
Web design80
General280
All shared boards8911 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index141
Coding benchmarks for Gemini 3.7 Flash and Grok 4.3
BenchmarkGemini 3.7 FlashGrok 4.3Leader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911358Gemini 3.7 Flash
AA Coding Index71.542.2Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%84.5%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%71.4%Gemini 3.7 Flash
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%19.4%Gemini 3.7 Flash
Code migration (Vals AI)34.8%6.8%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%42.0%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%40.6%Gemini 3.7 Flash
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.7 Flash measured
SciCode59.8%48.3%Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured37.9%Only Grok 4.3 measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
WeirdMLNot measured49.9%Only Grok 4.3 measured
ALE-Bench904.3944.2Grok 4.3
LMArena Text: coding14991415Gemini 3.7 Flash
LMArena Text: software and IT14981416Gemini 3.7 Flash
LMArena WebDev: React15871353Gemini 3.7 Flash
LMArena WebDev: HTML15931367Gemini 3.7 Flash
LMArena WebDev: from an image15991375Gemini 3.7 Flash
SciCode13.8%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.7 Flash and Grok 4.3
BenchmarkGemini 3.7 FlashGrok 4.3Leader
AA Intelligence Index39.624.9Gemini 3.7 Flash
Epoch Capabilities Index158.0Not measuredOnly Gemini 3.7 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index110
Agentic work benchmarks for Gemini 3.7 Flash and Grok 4.3
BenchmarkGemini 3.7 FlashGrok 4.3Leader
AA Agentic IndexNot measured15.5Only Grok 4.3 measured
Design Arena: agents building web apps12231126Gemini 3.7 Flash
Design Arena: agents building full-stack apps12081006Gemini 3.7 Flash
Design Arena: agents building mobile apps12301058Gemini 3.7 Flash
Design Arena: agents building Android apps1243962Gemini 3.7 Flash
Design Arena: agents building Godot games1264914Gemini 3.7 Flash
Design Arena: agents building games12351007Gemini 3.7 Flash
Design Arena: HTML slidesNot measured959Only Grok 4.3 measured
Design Arena: PowerPoint slidesNot measured989Only Grok 4.3 measured
Design Arena: spreadsheets1091927Gemini 3.7 Flash
LiveBench research76.5%Not measuredOnly Gemini 3.7 Flash measured
LiveBench browser56.0%Not measuredOnly Gemini 3.7 Flash measured
LiveBench long agentic28.3%Not measuredOnly Gemini 3.7 Flash measured
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%37.7%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%6.2%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%15.4%Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)71.3%18.4%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured97.7%Only Grok 4.3 measured
APEX-Agents67.8%Not measuredOnly Gemini 3.7 Flash measured
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Vending-Bench 2Not measured$35Only Grok 4.3 measured
LMArena SearchNot measured1166Only Grok 4.3 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for Gemini 3.7 Flash and Grok 4.3
BenchmarkGemini 3.7 FlashGrok 4.3Leader
GPQA Diamond93.9%91.4%Gemini 3.7 Flash
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%83.1%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%90.1%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%37.2%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%88.8%Gemini 3.7 Flash
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
Chess puzzles66.0%18.0%Gemini 3.7 Flash
Mystery game puzzles37.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts14951396Gemini 3.7 Flash
LMArena Text: expert15121384Gemini 3.7 Flash
LMArena Text: hard prompts in English14871402Gemini 3.7 Flash
LMArena Vision: diagrams13291241Gemini 3.7 Flash
LMArena Vision: homework13201241Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Gemini 3.7 Flash and Grok 4.3
BenchmarkGemini 3.7 FlashGrok 4.3Leader
OTIS Mock AIME97.2%93.3%Gemini 3.7 Flash
FrontierMath, tiers 1 to 371.6%42.8%Gemini 3.7 Flash
FrontierMath, tier 436.6%14.6%Gemini 3.7 Flash
ProofBench58.0%11.0%Gemini 3.7 Flash
LMArena Text: math15111387Gemini 3.7 Flash
LMArena Text: mathematical work15021396Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Gemini 3.7 Flash and Grok 4.3
BenchmarkGemini 3.7 FlashGrok 4.3Leader
MMLU Pro90.1%85.8%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%84.5%Gemini 3.7 Flash
CaseLaw (Vals AI)Not measured79.3%Only Grok 4.3 measured
CorpFin (Vals AI)Not measured68.5%Only Grok 4.3 measured
TaxEval (Vals AI)74.7%70.8%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%48.3%Gemini 3.7 Flash
MedCode (Vals AI)53.4%38.1%Gemini 3.7 Flash
SimpleQA Verified69.2%33.2%Gemini 3.7 Flash
LMArena Text: science15111399Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941384Gemini 3.7 Flash
LMArena Text: legal and government14961386Gemini 3.7 Flash
LMArena Text: business and finance14791381Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Gemini 3.7 Flash and Grok 4.3
BenchmarkGemini 3.7 FlashGrok 4.3Leader
Design Arena: websites13031196Gemini 3.7 Flash
Design Arena: UI components12951190Gemini 3.7 Flash
Design Arena: game dev13181173Gemini 3.7 Flash
Design Arena: data viz13151180Gemini 3.7 Flash
Design Arena: 3D13071124Gemini 3.7 Flash
Design Arena: all code categories13071186Gemini 3.7 Flash
Design Arena: SVG12831080Gemini 3.7 Flash
Design Arena: ASCII art12781125Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for Gemini 3.7 Flash and Grok 4.3
BenchmarkGemini 3.7 FlashGrok 4.3Leader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
Public Benefits Bench (Vals AI)Not measured51.7%Only Grok 4.3 measured
SAGE (Vals AI)49.2%19.7%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%74.4%Gemini 3.7 Flash
Vals Multimodal IndexNot measured43.3%Only Grok 4.3 measured
IFBenchNot measured83.3%Only Grok 4.3 measured
Long context reasoning (AA-LCR)83.0%75.0%Gemini 3.7 Flash
DTBench96.8%90.7%Gemini 3.7 Flash
LMCA50.4%38.3%Gemini 3.7 Flash
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891397Gemini 3.7 Flash
LMArena Text: instruction following14841366Gemini 3.7 Flash
LMArena Text: creative writing14881380Gemini 3.7 Flash
LMArena Vision13141229Gemini 3.7 Flash
LMArena Text: English14831404Gemini 3.7 Flash
LMArena Text: non-English14871385Gemini 3.7 Flash
LMArena Text: Chinese15521422Gemini 3.7 Flash
LMArena Text: German15061395Gemini 3.7 Flash
LMArena Text: Japanese15111379Gemini 3.7 Flash
LMArena Text: Korean14811354Gemini 3.7 Flash
LMArena Text: French15001411Gemini 3.7 Flash
LMArena Text: Spanish14951399Gemini 3.7 Flash
LMArena Text: Russian15151399Gemini 3.7 Flash
LMArena Text: Polish15031398Gemini 3.7 Flash
LMArena Text: multi-turn14851406Gemini 3.7 Flash
LMArena Text: longer queries14921393Gemini 3.7 Flash
LMArena Text: writing and language14911385Gemini 3.7 Flash
LMArena Text: entertainment and media14771370Gemini 3.7 Flash
LMArena Vision: English13091235Gemini 3.7 Flash
LMArena Vision: Chinese13941257Gemini 3.7 Flash
LMArena Vision: reading text13221235Gemini 3.7 Flash
LMArena Vision: humor12991222Gemini 3.7 Flash
LMArena Vision: recognizing thingsNot measured1217Only Grok 4.3 measured
LMArena Vision: creative writing13121237Gemini 3.7 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 3.7 Flash and Grok 4.3
BenchmarkGemini 3.7 FlashGrok 4.3Leader
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 3.7 Flash$0.0026Fits in one request
Grok 4.3$0.0025Fits in one request

Grok 4.3 costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Grok 4.3$0.070Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
Grok 4.3$0.275Fits in one request

Gemini 3.7 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 3.7 Flash and Grok 4.3
SpecificationGoogle Gemini 3.7 FlashSpaceXAI Grok 4.3
MakerGooglexAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026April 30, 2026
Context window1.05M1M
Input $/Mtok$0.75$1.25
Output $/Mtok$3.75$2.50
Coding index58.037.4
Independent measurements behind it63
Cost per solved task$1.78$0.31
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Grok 4.3 for coding?

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 37.4 for Grok 4.3. Pick Grok 4.3 for output tokens 1.5x cheaper ($2.50 vs $3.75 per million) and a lower cost per solved task ($0.31 against $1.78).

Which is cheaper, Gemini 3.7 Flash or Grok 4.3?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Grok 4.3 $0.31.

Which has the bigger context window, Gemini 3.7 Flash or Grok 4.3?

Gemini 3.7 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 3.7 Flash vs Grok 4.3 comparison based on?

91 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 independent benchmarks and Grok 4.3's on 3. 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/gemini-3-7-flash-vs-grok-4-3">LLMBenchmark.ai, Gemini 3.7 Flash vs Grok 4.3</a></p>