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Grok 4.3 vs MiniMax M2.7

Grok 4.3 leads MiniMax M2.7 on coding, 37.4 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 2.1x less per output token ($1.20 vs $2.50 per million). Updated October 23, 2026; 70 benchmarks have a result for both.

Replace Grok 4.3 Replace MiniMax M2.7
Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
28
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
41
vs boards won of 70 shared, 1 tied

Grok 4.3 or MiniMax M2.7: which to pick

Grok 4.3 and MiniMax M2.7 are level for coding, 37.4 against 36.2 on the Vibe Coding Index, so price and context decide.

Pick MiniMax M2.7 for output tokens 2.1x cheaper ($1.20 vs $2.50 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads. Pick Grok 4.3 for a lower cost per solved task ($0.31 against $0.64) and a larger context window (1M against 205K tokens).

Model AGrok 4.3xAI37.4/1003 independent benchmarks$0.31 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
70
Grok 4.3 only
36
MiniMax M2.7 only
4
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
Grok 4.3 37.4 from 3 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Math, 6.8 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Grok 4.3 1379 against MiniMax M2.7 1259, 20.1 points apart on a 0 to 100 scale.
Output price
Grok 4.3 $2.50 against MiniMax M2.7 $1.20 per million output tokens, 2.1x apart.
Context window
Grok 4.3 takes 1M tokens, MiniMax M2.7 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
CategoryGrok 4.3BarsMiniMax M2.7Ties
Coding4111 tie
Intelligence10
Agentic work42
Reasoning33
Math12
Knowledge64
Web design08
General911
All shared boards28411 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index411
Coding benchmarks for Grok 4.3 and MiniMax M2.7
BenchmarkGrok 4.3MiniMax M2.7Leader
LMArena WebDev13571398MiniMax M2.7
AA Coding Index42.252.6MiniMax M2.7
LiveCodeBench (Vals AI)84.5%79.9%Grok 4.3
SWE-bench Verified (Vals AI)71.4%73.8%MiniMax M2.7
Vibe Code Bench (Vals AI)19.4%11.9%Grok 4.3
Code migration (Vals AI)6.8%8.7%MiniMax M2.7
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)42.0%48.7%MiniMax M2.7
SkillsBench (Vals AI)40.6%Not measuredOnly Grok 4.3 measured
SciCode48.3%50.1%MiniMax M2.7
Terminal-Bench Hard (Artificial Analysis run)37.9%39.4%MiniMax M2.7
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdML49.9%37.0%Grok 4.3
ALE-Bench944.2599.3Grok 4.3
LMArena Text: coding14141454MiniMax M2.7
LMArena Text: software and IT14161445MiniMax M2.7
LMArena WebDev: React13531388MiniMax M2.7
LMArena WebDev: HTML13671402MiniMax M2.7
LMArena WebDev: from an image1375Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Grok 4.3 and MiniMax M2.7
BenchmarkGrok 4.3MiniMax M2.7Leader
AA Intelligence Index24.922.8Grok 4.3
Epoch Capabilities IndexNot measured145.8Only MiniMax M2.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index42
Agentic work benchmarks for Grok 4.3 and MiniMax M2.7
BenchmarkGrok 4.3MiniMax M2.7Leader
AA Agentic Index15.515.3Grok 4.3
Design Arena: agents building web apps1126Not measuredOnly Grok 4.3 measured
Design Arena: agents building full-stack apps1006Not measuredOnly Grok 4.3 measured
Design Arena: agents building mobile apps1058Not measuredOnly Grok 4.3 measured
Design Arena: agents building Android apps964Not measuredOnly Grok 4.3 measured
Design Arena: agents building Godot games914Not measuredOnly Grok 4.3 measured
Design Arena: agents building games1007Not measuredOnly Grok 4.3 measured
Design Arena: HTML slides914Not measuredOnly Grok 4.3 measured
Design Arena: PowerPoint slides977Not measuredOnly Grok 4.3 measured
Design Arena: spreadsheets927Not measuredOnly Grok 4.3 measured
Finance Agent (Vals AI)37.7%27.9%Grok 4.3
Tax Agent Bench (Vals AI)6.2%6.9%MiniMax M2.7
Legal Research Bench (Vals AI)15.4%10.6%Grok 4.3
Excel Modeling Benchmark (Vals AI)18.4%28.4%MiniMax M2.7
τ²-Bench Telecom97.7%84.8%Grok 4.3
Vending-Bench 2$35Not measuredOnly Grok 4.3 measured
LMArena Search1166Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for Grok 4.3 and MiniMax M2.7
BenchmarkGrok 4.3MiniMax M2.7Leader
GPQA Diamond91.4%86.6%Grok 4.3
MMMU Pro (Vals AI)83.1%Not measuredOnly Grok 4.3 measured
GPQA Diamond (Artificial Analysis run)90.1%87.4%Grok 4.3
Humanity's Last Exam (Artificial Analysis run)37.2%29.6%Grok 4.3
GPQA Diamond (Epoch AI run)88.8%Not measuredOnly Grok 4.3 measured
Chess puzzles18.0%Not measuredOnly Grok 4.3 measured
LMArena Text: hard prompts13961423MiniMax M2.7
LMArena Text: expert13841443MiniMax M2.7
LMArena Text: hard prompts in English14021441MiniMax M2.7
LMArena Vision: diagrams1241Not measuredOnly Grok 4.3 measured
LMArena Vision: homework1241Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for Grok 4.3 and MiniMax M2.7
BenchmarkGrok 4.3MiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
OTIS Mock AIME93.3%Not measuredOnly Grok 4.3 measured
FrontierMath, tiers 1 to 342.8%Not measuredOnly Grok 4.3 measured
FrontierMath, tier 414.6%Not measuredOnly Grok 4.3 measured
ProofBench11.0%3.0%Grok 4.3
LMArena Text: math13871421MiniMax M2.7
LMArena Text: mathematical work13961437MiniMax M2.7
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index64
Knowledge benchmarks for Grok 4.3 and MiniMax M2.7
BenchmarkGrok 4.3MiniMax M2.7Leader
MMLU Pro85.8%80.4%Grok 4.3
LegalBench (Vals AI)84.5%84.0%Grok 4.3
CaseLaw (Vals AI)79.3%60.9%Grok 4.3
CorpFin (Vals AI)68.5%61.2%Grok 4.3
TaxEval (Vals AI)70.8%66.6%Grok 4.3
MortgageTax (Vals AI)48.3%Not measuredOnly Grok 4.3 measured
MedCode (Vals AI)38.1%34.4%Grok 4.3
SimpleQA Verified33.2%Not measuredOnly Grok 4.3 measured
LMArena Text: science13991416MiniMax M2.7
LMArena Text: medicine and healthcare13841409MiniMax M2.7
LMArena Text: legal and government13851403MiniMax M2.7
LMArena Text: business and finance13811407MiniMax M2.7
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Grok 4.3 and MiniMax M2.7
BenchmarkGrok 4.3MiniMax M2.7Leader
Design Arena: websites11961242MiniMax M2.7
Design Arena: UI components11901208MiniMax M2.7
Design Arena: game dev11721209MiniMax M2.7
Design Arena: data viz11801233MiniMax M2.7
Design Arena: 3D11251194MiniMax M2.7
Design Arena: all code categories11861233MiniMax M2.7
Design Arena: SVG10821136MiniMax M2.7
Design Arena: ASCII art11251136MiniMax M2.7
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index911
General benchmarks for Grok 4.3 and MiniMax M2.7
BenchmarkGrok 4.3MiniMax M2.7Leader
Public Benefits Bench (Vals AI)51.7%Not measuredOnly Grok 4.3 measured
SAGE (Vals AI)19.7%Not measuredOnly Grok 4.3 measured
MedScribe (Vals AI)74.4%79.9%MiniMax M2.7
Vals Multimodal Index43.3%Not measuredOnly Grok 4.3 measured
IFBench83.3%75.7%Grok 4.3
Long context reasoning (AA-LCR)75.0%78.3%MiniMax M2.7
DTBench90.7%Not measuredOnly Grok 4.3 measured
LMCA38.3%Not measuredOnly Grok 4.3 measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text13971405MiniMax M2.7
LMArena Text: instruction following13651405MiniMax M2.7
LMArena Text: creative writing13801354Grok 4.3
LMArena Vision1229Not measuredOnly Grok 4.3 measured
LMArena Text: English14041426MiniMax M2.7
LMArena Text: non-English13851383Grok 4.3
LMArena Text: Chinese14211441MiniMax M2.7
LMArena Text: German13951398MiniMax M2.7
LMArena Text: Japanese13791259Grok 4.3
LMArena Text: Korean13551316Grok 4.3
LMArena Text: French14121424MiniMax M2.7
LMArena Text: Spanish13991403MiniMax M2.7
LMArena Text: Russian13991384Grok 4.3
LMArena Text: Polish13971388Grok 4.3
LMArena Text: multi-turn14061412MiniMax M2.7
LMArena Text: longer queries13931419MiniMax M2.7
LMArena Text: writing and language13851376Grok 4.3
LMArena Text: entertainment and media13711361Grok 4.3
LMArena Vision: English1235Not measuredOnly Grok 4.3 measured
LMArena Vision: Chinese1257Not measuredOnly Grok 4.3 measured
LMArena Vision: reading text1235Not measuredOnly Grok 4.3 measured
LMArena Vision: humor1222Not measuredOnly Grok 4.3 measured
LMArena Vision: recognizing things1217Not measuredOnly Grok 4.3 measured
LMArena Vision: creative writing1237Not measuredOnly Grok 4.3 measured
EQ-Bench 41075Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.3 and MiniMax M2.7
BenchmarkGrok 4.3MiniMax M2.7Leader
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 4.3$0.0025Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Grok 4.3$0.070Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Grok 4.3$0.275Fits in one request
MiniMax M2.7$0.072Exceeds the context window

MiniMax M2.7 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 4.3 and MiniMax M2.7
SpecificationSpaceXAI Grok 4.3MiniMax M2.7
MakerxAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026March 18, 2026
Context window1M205K
Input $/Mtok$1.25$0.30
Output $/Mtok$2.50$1.20
Coding index37.436.2
Independent measurements behind it33
Cost per solved task$0.31$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.3 better than MiniMax M2.7 for coding?

Grok 4.3 and MiniMax M2.7 are level for coding, 37.4 against 36.2 on the Vibe Coding Index, so price and context decide. Pick MiniMax M2.7 for output tokens 2.1x cheaper ($1.20 vs $2.50 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads. Pick Grok 4.3 for a lower cost per solved task ($0.31 against $0.64) and a larger context window (1M against 205K tokens).

Which is cheaper, Grok 4.3 or MiniMax M2.7?

Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Grok 4.3 costs $0.31 and MiniMax M2.7 $0.64.

Which has the bigger context window, Grok 4.3 or MiniMax M2.7?

Grok 4.3, with 1M tokens against 205K.

How many benchmarks is the Grok 4.3 vs MiniMax M2.7 comparison based on?

70 benchmarks have a result for both models as of October 23, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

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