Grok 4.20 vs MiniMax M2.1

Grok 4.20 leads MiniMax M2.1 on the Artificial Analysis Intelligence Index, 25.7 to 20.9, and MiniMax M2.1 costs 2.1x less per output token ($1.20 vs $2.50 per million). Updated October 22, 2026; 27 benchmarks have a result for both.

Replace Grok 4.20 Replace MiniMax M2.1

Grok 4.20xAI

Coding: 33.3
Overall: 41.0
Output $/M: $2.50

MiniMax M2.1MiniMax

Coding: No data
Overall: No data
Output $/M: $1.20

vs boards won of 27 shared

Grok 4.20 or MiniMax M2.1: which to pick

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; MiniMax M2.1 has none, so the two cannot be ranked on coding.

Pick MiniMax M2.1 for output tokens 2.1x cheaper ($1.20 vs $2.50 per million) and a lower cost per solved task ($0.59 against $0.72).

Model AGrok 4.20xAI33.3/1002 independent benchmarks$0.72 per solved task Model BMiniMax M2.1MiniMaxNot benchmarked1 independent benchmark$0.59 per solved task

27287

Shared results: 27
Grok 4.20 only: 28
MiniMax M2.1 only: 7
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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Grok 4.20 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Grok 4.20
Grok 4.20 leads, 25.7 against 20.9.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.20
Grok 4.20 leads, 88.6% against 78.5%.
Same board, both measured
Math
AIME
Grok 4.20
Grok 4.20 leads, 96.5% against 77.9%.
Same board, both measured
Knowledge
MMLU Pro
MiniMax M2.1
MiniMax M2.1 leads, 87.0% against 86.3%.
Same board, both measured
Web design
Design Arena: websites
Grok 4.20
Grok 4.20 leads, 1229 against 1201.
Same board, both measured
Long documents
Listed context window
Grok 4.20
Grok 4.20 takes 2M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.1
Grok 4.20 $0.0025, MiniMax M2.1 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M2.1
Grok 4.20 $0.72, MiniMax M2.1 $0.59.
Published attempt cost and pass rate

At a glance

Coding index: Grok 4.20 33.3 from 2 benchmarks, MiniMax M2.1 not benchmarked.
Widest category: Math, 18.5 points apart on average over 1 shared benchmark.
Widest single gap: Terminal-Bench: Grok 4.20 57.3% against MiniMax M2.1 36.6%, 20.7 points apart on a 0 to 100 scale.
Output price: Grok 4.20 $2.50 against MiniMax M2.1 $1.20 per million output tokens, 2.1x apart.
Context window: Grok 4.20 takes 2M tokens, MiniMax M2.1 205K.

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
Category	Grok 4.20	MiniMax M2.1
Coding	3	1
Intelligence	1	0
Agentic work	1	0
Reasoning	3	0
Math	1	0
Knowledge	4	3
Web design	6	1
General	2	1
All shared boards	21	6

CodingLike-for-likeSix of these boards feed the Vibe Coding Index31

Coding benchmarks for Grok 4.20 and MiniMax M2.1
Benchmark	Grok 4.20	MiniMax M2.1	Leader
LiveCodeBench (Vals AI)	84.3%	81.8%	Grok 4.20
SWE-bench Verified (Vals AI)	72.2%	74.8%	MiniMax M2.1
Vibe Code Bench (Vals AI)	4.1%	Not measured	Only Grok 4.20 measured
Code migration (Vals AI)	0.3%	Not measured	Only Grok 4.20 measured
Terminal-Bench 2.1 (Vals AI)	44.2%	Not measured	Only Grok 4.20 measured
LiveCodeBench (Artificial Analysis run)	Not measured	81.0%	Only MiniMax M2.1 measured
Terminal-Bench Hard (Artificial Analysis run)	37.9%	28.8%	Grok 4.20
Terminal-Bench	57.3%	36.6%	Grok 4.20
WeirdML	52.3%	Not measured	Only Grok 4.20 measured
ALE-Bench	Not measured	623.8	Only MiniMax M2.1 measured
Neither model has a result on the other 33 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for Grok 4.20 and MiniMax M2.1
Benchmark	Grok 4.20	MiniMax M2.1	Leader
AA Intelligence Index	25.7	20.9	Grok 4.20
Epoch Capabilities Index	152.1	Not measured	Only Grok 4.20 measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index10

Agentic work benchmarks for Grok 4.20 and MiniMax M2.1
Benchmark	Grok 4.20	MiniMax M2.1	Leader
Design Arena: agents building web apps	1144	Not measured	Only Grok 4.20 measured
Design Arena: agents building full-stack apps	1054	Not measured	Only Grok 4.20 measured
Design Arena: agents building mobile apps	1090	Not measured	Only Grok 4.20 measured
Design Arena: agents building Android apps	1045	Not measured	Only Grok 4.20 measured
Design Arena: agents building Godot games	1089	Not measured	Only Grok 4.20 measured
Design Arena: HTML slides	1180	Not measured	Only Grok 4.20 measured
Finance Agent (Vals AI)	28.5%	Not measured	Only Grok 4.20 measured
Tax Agent Bench (Vals AI)	7.0%	Not measured	Only Grok 4.20 measured
Legal Research Bench (Vals AI)	13.9%	Not measured	Only Grok 4.20 measured
Excel Modeling Benchmark (Vals AI)	11.7%	Not measured	Only Grok 4.20 measured
τ²-Bench Telecom	93.0%	85.4%	Grok 4.20
Vending-Bench 2	$4,663	Not measured	Only Grok 4.20 measured
Neither model has a result on the other 30 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index30

Reasoning benchmarks for Grok 4.20 and MiniMax M2.1
Benchmark	Grok 4.20	MiniMax M2.1	Leader
GPQA Diamond	88.6%	78.5%	Grok 4.20
MMMU Pro (Vals AI)	83.5%	Not measured	Only Grok 4.20 measured
GPQA Diamond (Artificial Analysis run)	91.1%	83.0%	Grok 4.20
Humanity's Last Exam (Artificial Analysis run)	34.5%	23.2%	Grok 4.20
ARC-AGI	89.5%	Not measured	Only Grok 4.20 measured
ARC-AGI-2	65.1%	Not measured	Only Grok 4.20 measured
Kagi LLM Benchmark	75.0%	Not measured	Only Grok 4.20 measured
Neither model has a result on the other 16 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index10

Math benchmarks for Grok 4.20 and MiniMax M2.1
Benchmark	Grok 4.20	MiniMax M2.1	Leader
AIME	96.5%	77.9%	Grok 4.20
MATH 500 (Vals AI)	Not measured	89.0%	Only MiniMax M2.1 measured
MGSM (Vals AI)	Not measured	87.8%	Only MiniMax M2.1 measured
AA Math Index	Not measured	82.7	Only MiniMax M2.1 measured
AIME 2025 (Artificial Analysis run)	Not measured	82.7%	Only MiniMax M2.1 measured
Neither model has a result on the other 9 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index43

Knowledge benchmarks for Grok 4.20 and MiniMax M2.1
Benchmark	Grok 4.20	MiniMax M2.1	Leader
MMLU Pro	86.3%	87.0%	MiniMax M2.1
LegalBench (Vals AI)	77.7%	75.5%	Grok 4.20
CaseLaw (Vals AI)	54.4%	55.8%	MiniMax M2.1
CorpFin (Vals AI)	63.7%	58.9%	Grok 4.20
TaxEval (Vals AI)	74.1%	66.3%	Grok 4.20
MortgageTax (Vals AI)	45.4%	Not measured	Only Grok 4.20 measured
MedQA (Vals AI)	94.5%	91.2%	Grok 4.20
MedCode (Vals AI)	32.2%	34.1%	MiniMax M2.1
MMLU Pro (Artificial Analysis run)	Not measured	87.5%	Only MiniMax M2.1 measured
Neither model has a result on the other 11 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index61

Web design benchmarks for Grok 4.20 and MiniMax M2.1
Benchmark	Grok 4.20	MiniMax M2.1	Leader
Design Arena: websites	1229	1201	Grok 4.20
Design Arena: UI components	1197	1220	MiniMax M2.1
Design Arena: game dev	1193	1134	Grok 4.20
Design Arena: data viz	1217	1207	Grok 4.20
Design Arena: 3D	1193	1164	Grok 4.20
Design Arena: all code categories	1221	1190	Grok 4.20
Design Arena: SVG	1165	1131	Grok 4.20
Design Arena: ASCII art	1175	Not measured	Only Grok 4.20 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index21

General benchmarks for Grok 4.20 and MiniMax M2.1
Benchmark	Grok 4.20	MiniMax M2.1	Leader
SAGE (Vals AI)	38.2%	Not measured	Only Grok 4.20 measured
MedScribe (Vals AI)	63.4%	80.8%	MiniMax M2.1
Vals Multimodal Index	39.1%	Not measured	Only Grok 4.20 measured
IFBench	81.2%	69.9%	Grok 4.20
Long context reasoning (AA-LCR)	69.0%	67.7%	Grok 4.20
DTBench	90.1%	Not measured	Only Grok 4.20 measured
LMCA	38.7%	Not measured	Only Grok 4.20 measured
CL-bench	22.2%	Not measured	Only Grok 4.20 measured
CL-bench Life	11.9%	Not measured	Only Grok 4.20 measured
Neither model has a result on the other 39 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Grok 4.20 and MiniMax M2.1
Benchmark	Grok 4.20	MiniMax M2.1	Leader
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

Grok 4.20$0.0025Fits in one request

MiniMax M2.1$0.0009Fits in one request

MiniMax M2.1 costs less

Repository review

50K input + 3K output tokens

Grok 4.20$0.070Fits in one request

MiniMax M2.1$0.019Fits in one request

MiniMax M2.1 costs less

Agent loop

200K input + 10K output tokens

Grok 4.20$0.275Fits in one request

MiniMax M2.1$0.072Exceeds the context window

MiniMax M2.1 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 Grok 4.20 and MiniMax M2.1
Specification	SpaceXAI Grok 4.20	MiniMax M2.1
Maker	xAI	MiniMax
Weights	No public weights listed	Open weights
Released	March 31, 2026	December 23, 2025
Context window	2M	205K
Input $/Mtok	$1.25	$0.30
Output $/Mtok	$2.50	$1.20
Coding index	33.3	Not benchmarked
Independent measurements behind it	2	1
Cost per solved task	$0.72	$0.59
Source	OpenRouter listing	OpenRouter listing

Questions

Is Grok 4.20 better than MiniMax M2.1 for coding?

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; MiniMax M2.1 has none, so the two cannot be ranked on coding. Pick MiniMax M2.1 for output tokens 2.1x cheaper ($1.20 vs $2.50 per million) and a lower cost per solved task ($0.59 against $0.72).

Which is cheaper, Grok 4.20 or MiniMax M2.1?

Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; MiniMax M2.1 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Grok 4.20 costs $0.72 and MiniMax M2.1 $0.59.

Which has the bigger context window, Grok 4.20 or MiniMax M2.1?

Grok 4.20, with 2M tokens against 205K.

How many benchmarks is the Grok 4.20 vs MiniMax M2.1 comparison based on?

27 benchmarks have a result for both models as of October 22, 2026. Grok 4.20's coding index rests on 2 independent benchmarks and MiniMax M2.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

Grok 4.20 or MiniMax M2.1: which to pick

Which one for your work

Coding

Intelligence

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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