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Gemini 2.5 Pro vs Grok 4.6

Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 2.5 Pro Replace Grok 4.6
Gemini 2.5 ProGoogle
Coding
37.0
Overall
16.1
Output $/M
$10.00
30
Grok 4.6xAI
Coding
76.4
Overall
44.3
Output $/M
$6.00
41
vs boards won of 71 shared

Decision reading

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 37.0 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro when a solved task costs $0.64 against $0.82, or when the context window is larger, 1.05M against 500K tokens.

Model AGemini 2.5 ProGoogle37.0/1002 independent benchmarks$0.64 per solved taskModel BGrok 4.6xAI76.4/1002 independent benchmarks$0.82 per solved task
Shared results
71
Gemini 2.5 Pro only
16
Grok 4.6 only
52
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 2.5 Pro 37.0 from 2 benchmarks, Grok 4.6 76.4 from 2 benchmarks.
Widest category
Agentic work, 52.2 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against Grok 4.6 76.2%, 75.8 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Grok 4.6 $6.00 per million output tokens, 1.7x apart.
Context window
Gemini 2.5 Pro 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 2.5 ProBarsGrok 4.6Ties
Coding19
Intelligence02
Agentic work02
Reasoning28
Math14
Knowledge61
Web design06
General209
All shared boards3041
CodingLike-for-likeFour of these boards feed the Vibe Coding Index19
Coding benchmarks for Gemini 2.5 Pro and Grok 4.6
BenchmarkGemini 2.5 ProGrok 4.6Leader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LiveBench codingNot measured89.1%Only Grok 4.6 measured
LMArena WebDev12261617Grok 4.6
AA Coding Index33.376.8Grok 4.6
LiveCodeBench (Vals AI)Not measured88.2%Only Grok 4.6 measured
SWE-bench Verified (Vals AI)54.4%95.6%Grok 4.6
Terminal-Bench 4 (Vals AI)Not measured17.2%Only Grok 4.6 measured
Vibe Code Bench (Vals AI)0.4%76.2%Grok 4.6
Code migration (Vals AI)Not measured44.6%Only Grok 4.6 measured
ProgramBench (Vals AI)Not measured1.0%Only Grok 4.6 measured
IOI (Vals AI)Not measured47.6%Only Grok 4.6 measured
Terminal-Bench 2.1 (Vals AI)Not measured78.3%Only Grok 4.6 measured
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)Not measured67.7%Only Grok 4.6 measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%56.5%Grok 4.6
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierCodeNot measured48.0%Only Grok 4.6 measured
FrontierSWENot measured25.3%Only Grok 4.6 measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%67.3%Grok 4.6
ALE-BenchNot measured1508.1Only Grok 4.6 measured
LMArena Text: coding14521466Grok 4.6
LMArena Text: software and IT14591457Gemini 2.5 Pro
LMArena WebDev: ReactNot measured1631Only Grok 4.6 measured
LMArena WebDev: HTML12351597Grok 4.6
LMArena WebDev: from an image12851603Grok 4.6
Neither model has a result on the other 9 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and Grok 4.6
BenchmarkGemini 2.5 ProGrok 4.6Leader
AA Intelligence Index16.144.3Grok 4.6
Epoch Capabilities Index145.1156.6Grok 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Pro and Grok 4.6
BenchmarkGemini 2.5 ProGrok 4.6Leader
AA Agentic Index1.653.0Grok 4.6
Design Arena: agents building web appsNot measured1247Only Grok 4.6 measured
Design Arena: agents building full-stack appsNot measured1264Only Grok 4.6 measured
Design Arena: agents building mobile appsNot measured1234Only Grok 4.6 measured
Design Arena: agents building Android appsNot measured1297Only Grok 4.6 measured
Design Arena: agents building Godot gamesNot measured1276Only Grok 4.6 measured
Design Arena: agents building gamesNot measured1208Only Grok 4.6 measured
Design Arena: HTML slidesNot measured1249Only Grok 4.6 measured
Design Arena: PowerPoint slidesNot measured1241Only Grok 4.6 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)Not measured53.7%Only Grok 4.6 measured
Tax Agent Bench (Vals AI)Not measured33.1%Only Grok 4.6 measured
Legal Research Bench (Vals AI)Not measured48.1%Only Grok 4.6 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Grok 4.6 measured
BioMysteryBench (Vals AI)Not measured72.2%Only Grok 4.6 measured
Terminal-Bench-Science (Vals AI)Not measured11.4%Only Grok 4.6 measured
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 Telecom54.1%Not measuredOnly Gemini 2.5 Pro measured
APEX-AgentsNot measured65.3%Only Grok 4.6 measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574$9,047Grok 4.6
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index28
Reasoning benchmarks for Gemini 2.5 Pro and Grok 4.6
BenchmarkGemini 2.5 ProGrok 4.6Leader
GPQA DiamondNot measured94.7%Only Grok 4.6 measured
LiveBench reasoningNot measured91.2%Only Grok 4.6 measured
MysteryMechanism (Vals AI)Not measured30.6%Only Grok 4.6 measured
GPQA Diamond (Artificial Analysis run)84.4%94.9%Grok 4.6
Humanity's Last Exam (Artificial Analysis run)22.5%44.1%Grok 4.6
GPQA Diamond (Epoch AI run)85.3%94.0%Grok 4.6
ARC-AGI41.0%87.5%Grok 4.6
ARC-AGI-24.9%67.1%Grok 4.6
SimpleBenchNot measured75.9%Only Grok 4.6 measured
Chess puzzlesNot measured33.0%Only Grok 4.6 measured
Mystery game puzzlesNot measured34.0%Only Grok 4.6 measured
EBR-benchNot measured30.5%Only Grok 4.6 measured
LMArena Text: hard prompts14551448Gemini 2.5 Pro
LMArena Text: expert14521469Grok 4.6
LMArena Text: hard prompts in English14531445Gemini 2.5 Pro
LMArena Vision: diagrams12741285Grok 4.6
LMArena Vision: homework12811283Grok 4.6
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index14
Math benchmarks for Gemini 2.5 Pro and Grok 4.6
BenchmarkGemini 2.5 ProGrok 4.6Leader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%99.2%Grok 4.6
FrontierMath, tiers 1 to 324.6%66.0%Grok 4.6
FrontierMath, tier 40.0%31.7%Grok 4.6
ProofBenchNot measured51.0%Only Grok 4.6 measured
LMArena Text: math14501417Gemini 2.5 Pro
LMArena Text: mathematical work14541464Grok 4.6
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index61
Knowledge benchmarks for Gemini 2.5 Pro and Grok 4.6
BenchmarkGemini 2.5 ProGrok 4.6Leader
MMLU ProNot measured89.4%Only Grok 4.6 measured
LegalBench (Vals AI)Not measured86.3%Only Grok 4.6 measured
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%66.2%Grok 4.6
TaxEval (Vals AI)Not measured71.1%Only Grok 4.6 measured
MortgageTax (Vals AI)68.9%64.2%Gemini 2.5 Pro
MedCode (Vals AI)50.6%44.7%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
SimpleQA VerifiedNot measured49.3%Only Grok 4.6 measured
LMArena Text: science14801437Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761420Gemini 2.5 Pro
LMArena Text: legal and government14801429Gemini 2.5 Pro
LMArena Text: business and finance14391416Gemini 2.5 Pro
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Gemini 2.5 Pro and Grok 4.6
BenchmarkGemini 2.5 ProGrok 4.6Leader
Design Arena: websites11671289Grok 4.6
Design Arena: UI components11391294Grok 4.6
Design Arena: game dev11121296Grok 4.6
Design Arena: data viz12221283Grok 4.6
Design Arena: 3D10801277Grok 4.6
Design Arena: all code categories11521292Grok 4.6
Design Arena: SVGNot measured1239Only Grok 4.6 measured
Design Arena: ASCII artNot measured1278Only Grok 4.6 measured
LiveBench designNot measured79.8%Only Grok 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index209
General benchmarks for Gemini 2.5 Pro and Grok 4.6
BenchmarkGemini 2.5 ProGrok 4.6Leader
LiveBench data analysisNot measured75.3%Only Grok 4.6 measured
Public Benefits Bench (Vals AI)Not measured66.8%Only Grok 4.6 measured
SAGE (Vals AI)41.9%28.9%Gemini 2.5 Pro
MedScribe (Vals AI)73.5%86.5%Grok 4.6
IFBench48.7%Not measuredOnly Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)69.0%81.0%Grok 4.6
DTBench82.4%97.3%Grok 4.6
LMCA34.8%48.5%Grok 4.6
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
Furniture assemblyNot measured40.0%Only Grok 4.6 measured
LMArena Text14581429Gemini 2.5 Pro
LMArena Text: instruction following14371431Gemini 2.5 Pro
LMArena Text: creative writing14541426Gemini 2.5 Pro
LMArena Vision12631263Gemini 2.5 Pro
LMArena Text: English14581433Gemini 2.5 Pro
LMArena Text: non-English14521420Gemini 2.5 Pro
LMArena Text: Chinese15071476Gemini 2.5 Pro
LMArena Text: German14871426Gemini 2.5 Pro
LMArena Text: Japanese14611378Gemini 2.5 Pro
LMArena Text: Korean14341391Gemini 2.5 Pro
LMArena Text: French14731455Gemini 2.5 Pro
LMArena Text: Spanish14741414Gemini 2.5 Pro
LMArena Text: Russian14611421Gemini 2.5 Pro
LMArena Text: Polish14791430Gemini 2.5 Pro
LMArena Text: multi-turn14531425Gemini 2.5 Pro
LMArena Text: longer queries14491456Grok 4.6
LMArena Text: writing and language14541429Gemini 2.5 Pro
LMArena Text: entertainment and media14411421Gemini 2.5 Pro
LMArena Vision: English12611270Grok 4.6
LMArena Vision: Chinese13001289Gemini 2.5 Pro
LMArena Vision: reading text12701272Grok 4.6
LMArena Vision: humor12621270Grok 4.6
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing12651262Gemini 2.5 Pro
LMArena Document14211452Grok 4.6
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and Grok 4.6
BenchmarkGemini 2.5 ProGrok 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 2.5 Pro$0.0063Fits in one request
Grok 4.6$0.0050Fits in one request

Grok 4.6 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Grok 4.6$0.118Fits in one request

Gemini 2.5 Pro costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Grok 4.6$0.460Fits in one request

Gemini 2.5 Pro 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 2.5 Pro and Grok 4.6
SpecificationGoogle Gemini 2.5 ProSpaceXAI Grok 4.6
MakerGooglexAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025August 12, 2026
Context window1.05M500K
Input $/Mtok$1.25$2.00
Output $/Mtok$10.00$6.00
Coding index37.076.4
Independent measurements behind it22
Cost per solved task$0.64$0.82
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Grok 4.6 for coding?

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 37.0 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro when a solved task costs $0.64 against $0.82, or when the context window is larger, 1.05M against 500K tokens.

Which is cheaper, Gemini 2.5 Pro or Grok 4.6?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Grok 4.6 costs $2.00 and $6.00. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Grok 4.6 $0.82.

Which has the bigger context window, Gemini 2.5 Pro or Grok 4.6?

Gemini 2.5 Pro, with 1.05M tokens against 500K.

How many benchmarks is the Gemini 2.5 Pro vs Grok 4.6 comparison based on?

71 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 2 independent benchmarks and Grok 4.6's on 2. 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-2-5-pro-vs-grok-4-6">LLMBenchmark.ai, Gemini 2.5 Pro vs Grok 4.6</a></p>