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Gemini 3.7 Flash vs Grok 4.5

Updated October 21, 2026. 107 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.7 Flash Replace Grok 4.5
Gemini 3.7 FlashGoogle
Coding
69.9
Overall
39.6
Output $/M
$3.75
90
Grok 4.5xAI
Coding
75.5
Overall
38.8
Output $/M
$6.00
15
vs boards won of 107 shared, 2 tied

Decision reading

Pick Grok 4.5 for coding: it scores 75.5 on the Vibe Coding Index against 69.9 for Gemini 3.7 Flash.

Pick Gemini 3.7 Flash when output tokens cost 1.6x less, or when the context window is larger, 1.05M against 500K tokens.

Model AGemini 3.7 FlashGoogle69.9/1002 independent benchmarks$1.78 per solved taskModel BGrok 4.5xAI75.5/1002 independent benchmarks$0.62 per solved task
Shared results
107
Gemini 3.7 Flash only
5
Grok 4.5 only
13
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 3.7 Flash 69.9 from 2 benchmarks, Grok 4.5 75.5 from 2 benchmarks.
Widest category
Math, 11.0 points apart on average over 6 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.7 Flash 84.6% against Grok 4.5 52.6%, 31.9 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Grok 4.5 $6.00 per million output tokens, 1.6x apart.
Context window
Gemini 3.7 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 3.7 FlashBarsGrok 4.5Ties
Coding1371 tie
Intelligence20
Agentic work1041 tie
Reasoning140
Math51
Knowledge100
Web design81
General282
All shared boards90152 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index137
Coding benchmarks for Gemini 3.7 Flash and Grok 4.5
BenchmarkGemini 3.7 FlashGrok 4.5Leader
LiveBench coding80.5%94.3%Grok 4.5
LMArena WebDev15911553Gemini 3.7 Flash
AA Coding Index71.572.4Grok 4.5
LiveCodeBench (Vals AI)88.7%87.3%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%86.6%Grok 4.5
Terminal-Bench 4 (Vals AI)12.1%8.6%Gemini 3.7 Flash
Vibe Code Bench (Vals AI)70.4%69.0%Gemini 3.7 Flash
Code migration (Vals AI)34.8%36.6%Grok 4.5
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)67.8%40.6%Gemini 3.7 Flash
Terminal-Bench 2.1 (Vals AI)77.5%67.8%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%66.0%Grok 4.5
CyberBench (Vals AI)43.8%71.0%Grok 4.5
SciCode59.8%55.0%Gemini 3.7 Flash
FrontierCode43.6%42.4%Gemini 3.7 Flash
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
WeirdMLNot measured46.4%Only Grok 4.5 measured
ALE-Bench904.31309.3Grok 4.5
LMArena Text: coding14991474Gemini 3.7 Flash
LMArena Text: software and IT14981471Gemini 3.7 Flash
LMArena WebDev: React15871556Gemini 3.7 Flash
LMArena WebDev: HTML15931567Gemini 3.7 Flash
LMArena WebDev: from an image15991562Gemini 3.7 Flash
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.7 Flash and Grok 4.5
BenchmarkGemini 3.7 FlashGrok 4.5Leader
AA Intelligence Index39.638.8Gemini 3.7 Flash
Epoch Capabilities Index158.0154.1Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index104
Agentic work benchmarks for Gemini 3.7 Flash and Grok 4.5
BenchmarkGemini 3.7 FlashGrok 4.5Leader
AA Agentic IndexNot measured41.2Only Grok 4.5 measured
Design Arena: agents building web apps12241217Gemini 3.7 Flash
Design Arena: agents building full-stack apps12081249Grok 4.5
Design Arena: agents building mobile apps12301221Gemini 3.7 Flash
Design Arena: agents building Android apps12471242Gemini 3.7 Flash
Design Arena: agents building Godot games12641229Gemini 3.7 Flash
Design Arena: agents building games12351235Tie
Design Arena: HTML slidesNot measured1204Only Grok 4.5 measured
Design Arena: PowerPoint slidesNot measured1232Only Grok 4.5 measured
Design Arena: spreadsheets1028Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%85.9%Grok 4.5
LiveBench browser56.0%44.0%Gemini 3.7 Flash
LiveBench long agentic28.3%27.9%Gemini 3.7 Flash
SREBench (Vals AI)4.6%0.8%Gemini 3.7 Flash
Finance Agent (Vals AI)59.0%48.4%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%24.9%Grok 4.5
Legal Research Bench (Vals AI)34.6%38.0%Grok 4.5
Excel Modeling Benchmark (Vals AI)71.3%52.9%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
Time Horizon Index (Vals AI)Not measured6.3%Only Grok 4.5 measured
APEX-Agents67.8%56.2%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
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 index140
Reasoning benchmarks for Gemini 3.7 Flash and Grok 4.5
BenchmarkGemini 3.7 FlashGrok 4.5Leader
GPQA Diamond93.9%92.9%Gemini 3.7 Flash
LiveBench reasoning87.8%87.2%Gemini 3.7 Flash
MMMU Pro (Vals AI)89.0%61.8%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%93.1%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%42.7%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%93.4%Gemini 3.7 Flash
ARC-AGI95.5%87.2%Gemini 3.7 Flash
ARC-AGI-284.6%52.6%Gemini 3.7 Flash
SimpleBenchNot measured70.0%Only Grok 4.5 measured
Chess puzzles66.0%35.0%Gemini 3.7 Flash
Mystery game puzzles37.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts14951462Gemini 3.7 Flash
LMArena Text: expert15121465Gemini 3.7 Flash
LMArena Text: hard prompts in English14871464Gemini 3.7 Flash
LMArena Vision: diagrams13291304Gemini 3.7 Flash
LMArena Vision: homework13201295Gemini 3.7 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for Gemini 3.7 Flash and Grok 4.5
BenchmarkGemini 3.7 FlashGrok 4.5Leader
OTIS Mock AIME97.2%97.8%Grok 4.5
FrontierMath, tiers 1 to 371.6%57.2%Gemini 3.7 Flash
FrontierMath, tier 436.6%24.4%Gemini 3.7 Flash
ProofBench58.0%31.0%Gemini 3.7 Flash
LMArena Text: math15111460Gemini 3.7 Flash
LMArena Text: mathematical work15021482Gemini 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 4.5
BenchmarkGemini 3.7 FlashGrok 4.5Leader
MMLU Pro90.1%89.2%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%86.0%Gemini 3.7 Flash
CorpFin (Vals AI)Not measured67.4%Only Grok 4.5 measured
TaxEval (Vals AI)74.7%71.7%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%61.8%Gemini 3.7 Flash
MedCode (Vals AI)53.4%43.3%Gemini 3.7 Flash
SimpleQA Verified69.2%48.3%Gemini 3.7 Flash
LMArena Text: science15111464Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941440Gemini 3.7 Flash
LMArena Text: legal and government14961463Gemini 3.7 Flash
LMArena Text: business and finance14791441Gemini 3.7 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index81
Web design benchmarks for Gemini 3.7 Flash and Grok 4.5
BenchmarkGemini 3.7 FlashGrok 4.5Leader
Design Arena: websites13041281Gemini 3.7 Flash
Design Arena: UI components12991279Gemini 3.7 Flash
Design Arena: game dev13181263Gemini 3.7 Flash
Design Arena: data viz13151267Gemini 3.7 Flash
Design Arena: 3D13081257Gemini 3.7 Flash
Design Arena: all code categories13081276Gemini 3.7 Flash
Design Arena: SVG12831215Gemini 3.7 Flash
Design Arena: ASCII art12761257Gemini 3.7 Flash
LiveBench design73.2%78.1%Grok 4.5
GeneralLike-for-likePublic boards, shown as published, kept out of the index282
General benchmarks for Gemini 3.7 Flash and Grok 4.5
BenchmarkGemini 3.7 FlashGrok 4.5Leader
LiveBench data analysis68.0%73.0%Grok 4.5
SAGE (Vals AI)49.2%35.0%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%86.9%Grok 4.5
Vals Multimodal IndexNot measured63.4%Only Grok 4.5 measured
Long context reasoning (AA-LCR)83.0%79.3%Gemini 3.7 Flash
DTBench96.8%96.5%Gemini 3.7 Flash
LMCA50.4%45.2%Gemini 3.7 Flash
Surface Evolver BenchNot measured74.4%Only Grok 4.5 measured
Furniture assembly26.7%22.5%Gemini 3.7 Flash
LMArena Text14891448Gemini 3.7 Flash
LMArena Text: instruction following14841445Gemini 3.7 Flash
LMArena Text: creative writing14881442Gemini 3.7 Flash
LMArena Vision13141287Gemini 3.7 Flash
LMArena Text: English14831453Gemini 3.7 Flash
LMArena Text: non-English14871440Gemini 3.7 Flash
LMArena Text: Chinese15521495Gemini 3.7 Flash
LMArena Text: German15061448Gemini 3.7 Flash
LMArena Text: Japanese15111430Gemini 3.7 Flash
LMArena Text: Korean14811406Gemini 3.7 Flash
LMArena Text: French15001457Gemini 3.7 Flash
LMArena Text: Spanish14951451Gemini 3.7 Flash
LMArena Text: Russian15151449Gemini 3.7 Flash
LMArena Text: Polish15031432Gemini 3.7 Flash
LMArena Text: multi-turn14851456Gemini 3.7 Flash
LMArena Text: longer queries14921462Gemini 3.7 Flash
LMArena Text: writing and language14911445Gemini 3.7 Flash
LMArena Text: entertainment and media14771434Gemini 3.7 Flash
LMArena Vision: English13091285Gemini 3.7 Flash
LMArena Vision: Chinese13941345Gemini 3.7 Flash
LMArena Vision: reading text13221293Gemini 3.7 Flash
LMArena Vision: humor12991276Gemini 3.7 Flash
LMArena Vision: creative writing13121293Gemini 3.7 Flash
LMArena DocumentNot measured1452Only Grok 4.5 measured
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 3.7 Flash and Grok 4.5
BenchmarkGemini 3.7 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 3.7 Flash$0.0026Fits in one request
Grok 4.5$0.0050Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Grok 4.5$0.118Fits 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 4.5$0.460Fits 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 4.5
SpecificationGoogle Gemini 3.7 FlashSpaceXAI Grok 4.5
MakerGooglexAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026July 8, 2026
Context window1.05M500K
Input $/Mtok$0.75$2.00
Output $/Mtok$3.75$6.00
Coding index69.975.5
Independent measurements behind it22
Cost per solved task$1.78$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Grok 4.5 for coding?

Pick Grok 4.5 for coding: it scores 75.5 on the Vibe Coding Index against 69.9 for Gemini 3.7 Flash. Pick Gemini 3.7 Flash when output tokens cost 1.6x less, or when the context window is larger, 1.05M against 500K tokens.

Which is cheaper, Gemini 3.7 Flash or Grok 4.5?

Gemini 3.7 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 3.7 Flash costs $1.78 and Grok 4.5 $0.62.

Which has the bigger context window, Gemini 3.7 Flash or Grok 4.5?

Gemini 3.7 Flash, with 1.05M tokens against 500K.

How many benchmarks is the Gemini 3.7 Flash vs Grok 4.5 comparison based on?

107 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 2 independent benchmarks 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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