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Gemini 3.1 Pro Preview Custom Tools vs Grok 4.20

Grok 4.20 costs 4.8x less per output token than Gemini 3.1 Pro Preview Custom Tools ($2.50 vs $12.00 per million). Updated October 21, 2026; 1 benchmarks have a result for both.

Gemini 3.1 Pro Preview Custom ToolsGoogle
Coding
No data
Overall
No data
Output $/M
$12.00
0
Grok 4.20xAI
Coding
33.3
Overall
41.0
Output $/M
$2.50
1
vs boards won of 1 shared

Gemini 3.1 Pro Preview Custom Tools or Grok 4.20: which to pick

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Gemini 3.1 Pro Preview Custom Tools has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
1
Gemini 3.1 Pro Preview Custom Tools only
0
Grok 4.20 only
54
Like-for-like categories
1 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 3.1 Pro Preview Custom Tools not benchmarked, Grok 4.20 33.3 from 2 benchmarks.
Widest category
Agentic work, 5.6 points apart on average over 1 shared benchmark.
Widest single gap
Vending-Bench 2: Gemini 3.1 Pro Preview Custom Tools $3,774 against Grok 4.20 $4,663, 5.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.1 Pro Preview Custom Tools $12.00 against Grok 4.20 $2.50 per million output tokens, 4.8x apart.
Context window
Gemini 3.1 Pro Preview Custom Tools takes 1.05M tokens, Grok 4.20 2M.

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 3.1 Pro Preview Custom ToolsBarsGrok 4.20Ties
Agentic work01
All shared boards01
CodingDirectional onlySix of these boards feed the Vibe Coding Index8 boards, none shared
Coding benchmarks for Gemini 3.1 Pro Preview Custom Tools and Grok 4.20
BenchmarkGemini 3.1 Pro Preview Custom ToolsGrok 4.20Leader
LiveCodeBench (Vals AI)Not measured84.3%Only Grok 4.20 measured
SWE-bench Verified (Vals AI)Not measured72.2%Only Grok 4.20 measured
Vibe Code Bench (Vals AI)Not measured4.1%Only Grok 4.20 measured
Code migration (Vals AI)Not measured0.3%Only Grok 4.20 measured
Terminal-Bench 2.1 (Vals AI)Not measured44.2%Only Grok 4.20 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured37.9%Only Grok 4.20 measured
Terminal-BenchNot measured57.3%Only Grok 4.20 measured
WeirdMLNot measured52.3%Only Grok 4.20 measured
Neither model has a result on the other 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 3.1 Pro Preview Custom Tools and Grok 4.20
BenchmarkGemini 3.1 Pro Preview Custom ToolsGrok 4.20Leader
AA Intelligence IndexNot measured25.7Only Grok 4.20 measured
Epoch Capabilities IndexNot measured152.1Only Grok 4.20 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 3.1 Pro Preview Custom Tools and Grok 4.20
BenchmarkGemini 3.1 Pro Preview Custom ToolsGrok 4.20Leader
Design Arena: agents building web appsNot measured1144Only Grok 4.20 measured
Design Arena: agents building full-stack appsNot measured1054Only Grok 4.20 measured
Design Arena: agents building mobile appsNot measured1090Only Grok 4.20 measured
Design Arena: agents building Android appsNot measured1052Only Grok 4.20 measured
Design Arena: agents building Godot gamesNot measured1089Only Grok 4.20 measured
Design Arena: HTML slidesNot measured1180Only Grok 4.20 measured
Finance Agent (Vals AI)Not measured28.5%Only Grok 4.20 measured
Tax Agent Bench (Vals AI)Not measured7.0%Only Grok 4.20 measured
Legal Research Bench (Vals AI)Not measured13.9%Only Grok 4.20 measured
Excel Modeling Benchmark (Vals AI)Not measured11.7%Only Grok 4.20 measured
τ²-Bench TelecomNot measured93.0%Only Grok 4.20 measured
Vending-Bench 2$3,774$4,663Grok 4.20
Neither model has a result on the other 29 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Reasoning benchmarks for Gemini 3.1 Pro Preview Custom Tools and Grok 4.20
BenchmarkGemini 3.1 Pro Preview Custom ToolsGrok 4.20Leader
GPQA DiamondNot measured88.6%Only Grok 4.20 measured
MMMU Pro (Vals AI)Not measured83.5%Only Grok 4.20 measured
GPQA Diamond (Artificial Analysis run)Not measured91.1%Only Grok 4.20 measured
Humanity's Last Exam (Artificial Analysis run)Not measured34.5%Only Grok 4.20 measured
ARC-AGINot measured89.5%Only Grok 4.20 measured
ARC-AGI-2Not measured65.1%Only Grok 4.20 measured
Kagi LLM BenchmarkNot measured75.0%Only Grok 4.20 measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Math benchmarks for Gemini 3.1 Pro Preview Custom Tools and Grok 4.20
BenchmarkGemini 3.1 Pro Preview Custom ToolsGrok 4.20Leader
AIMENot measured96.5%Only Grok 4.20 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Gemini 3.1 Pro Preview Custom Tools and Grok 4.20
BenchmarkGemini 3.1 Pro Preview Custom ToolsGrok 4.20Leader
MMLU ProNot measured86.3%Only Grok 4.20 measured
LegalBench (Vals AI)Not measured77.7%Only Grok 4.20 measured
CaseLaw (Vals AI)Not measured54.4%Only Grok 4.20 measured
CorpFin (Vals AI)Not measured63.7%Only Grok 4.20 measured
TaxEval (Vals AI)Not measured74.1%Only Grok 4.20 measured
MortgageTax (Vals AI)Not measured45.4%Only Grok 4.20 measured
MedQA (Vals AI)Not measured94.5%Only Grok 4.20 measured
MedCode (Vals AI)Not measured32.2%Only Grok 4.20 measured
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 3.1 Pro Preview Custom Tools and Grok 4.20
BenchmarkGemini 3.1 Pro Preview Custom ToolsGrok 4.20Leader
Design Arena: websitesNot measured1229Only Grok 4.20 measured
Design Arena: UI componentsNot measured1199Only Grok 4.20 measured
Design Arena: game devNot measured1192Only Grok 4.20 measured
Design Arena: data vizNot measured1217Only Grok 4.20 measured
Design Arena: 3DNot measured1193Only Grok 4.20 measured
Design Arena: all code categoriesNot measured1221Only Grok 4.20 measured
Design Arena: SVGNot measured1164Only Grok 4.20 measured
Design Arena: ASCII artNot measured1174Only Grok 4.20 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
General benchmarks for Gemini 3.1 Pro Preview Custom Tools and Grok 4.20
BenchmarkGemini 3.1 Pro Preview Custom ToolsGrok 4.20Leader
SAGE (Vals AI)Not measured38.2%Only Grok 4.20 measured
MedScribe (Vals AI)Not measured63.4%Only Grok 4.20 measured
Vals Multimodal IndexNot measured39.1%Only Grok 4.20 measured
IFBenchNot measured81.2%Only Grok 4.20 measured
Long context reasoning (AA-LCR)Not measured69.0%Only Grok 4.20 measured
DTBenchNot measured90.1%Only Grok 4.20 measured
LMCANot measured38.7%Only Grok 4.20 measured
CL-benchNot measured22.2%Only Grok 4.20 measured
CL-bench LifeNot measured11.9%Only Grok 4.20 measured
Neither model has a result on the other 37 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.1 Pro Preview Custom Tools and Grok 4.20
BenchmarkGemini 3.1 Pro Preview Custom ToolsGrok 4.20Leader
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 3.1 Pro Preview Custom Tools$0.0080Fits in one request
Grok 4.20$0.0025Fits in one request

Grok 4.20 costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Pro Preview Custom Tools$0.136Fits in one request
Grok 4.20$0.070Fits in one request

Grok 4.20 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Pro Preview Custom Tools$0.520Fits in one request
Grok 4.20$0.275Fits in one request

Grok 4.20 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 3.1 Pro Preview Custom Tools and Grok 4.20
SpecificationGoogle Gemini 3.1 Pro Preview Custom ToolsSpaceXAI Grok 4.20
MakerGooglexAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 25, 2026March 31, 2026
Context window1.05M2M
Input $/Mtok$2.00$1.25
Output $/Mtok$12.00$2.50
Coding indexNot benchmarked33.3
Independent measurements behind it02
Cost per solved taskNot computable$0.72
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Pro Preview Custom Tools better than Grok 4.20 for coding?

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Gemini 3.1 Pro Preview Custom Tools has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Gemini 3.1 Pro Preview Custom Tools or Grok 4.20?

Gemini 3.1 Pro Preview Custom Tools costs $2.00 per million input tokens and $12.00 per million output tokens; Grok 4.20 costs $1.25 and $2.50. Cost per solved task is known for Grok 4.20 only.

Which has the bigger context window, Gemini 3.1 Pro Preview Custom Tools or Grok 4.20?

Grok 4.20, with 2M tokens against 1.05M.

How many benchmarks is the Gemini 3.1 Pro Preview Custom Tools vs Grok 4.20 comparison based on?

1 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Pro Preview Custom Tools's coding index rests on 0 independent benchmarks and Grok 4.20's on 2. Where only one model has a result, the page says so instead of naming a winner.

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