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Llama 4 Maverick vs MiniMax M2.7

Updated October 21, 2026. 56 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Llama 4 Maverick Replace MiniMax M2.7
Llama 4 MaverickMeta Llama
Coding
18.1
Overall
9.3
Output $/M
$0.6525
1
MiniMax M2.7MiniMax
Coding
28.4
Overall
22.8
Output $/M
$1.20
54
vs boards won of 56 shared, 1 tied

Decision reading

Pick MiniMax M2.7 for coding: it scores 28.4 on the Vibe Coding Index against 18.1 for Llama 4 Maverick, though on 1 benchmark against 2.

Pick Llama 4 Maverick when output tokens cost 1.8x less, or when the context window is larger, 524K against 205K tokens.

Model ALlama 4 MaverickMeta Llama18.1/1002 independent benchmarks$1.491 per solved taskModel BMiniMax M2.7MiniMax28.4/1001 independent benchmark$0.64 per solved task
Shared results
56
Llama 4 Maverick only
28
MiniMax M2.7 only
18
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
Llama 4 Maverick 18.1 from 2 benchmarks, MiniMax M2.7 28.4 from 1 benchmark.
Widest category
Web design, 42.8 points apart on average over 6 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Llama 4 Maverick 17.8% against MiniMax M2.7 84.8%, 67.0 points apart on a 0 to 100 scale.
Output price
Llama 4 Maverick $0.6525 against MiniMax M2.7 $1.20 per million output tokens, 1.8x apart.
Context window
Llama 4 Maverick takes 524K 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
CategoryLlama 4 MaverickBarsMiniMax M2.7Ties
Coding08
Intelligence02
Agentic work02
Reasoning06
Math03
Knowledge171 tie
Web design06
General020
All shared boards1541 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index08
Coding benchmarks for Llama 4 Maverick and MiniMax M2.7
BenchmarkLlama 4 MaverickMiniMax M2.7Leader
Aider polyglot15.6%Not measuredOnly Llama 4 Maverick measured
SWE-bench Verified21.0%Not measuredOnly Llama 4 Maverick measured
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding Index16.352.6MiniMax M2.7
LiveCodeBench (Vals AI)47.3%79.9%MiniMax M2.7
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)39.7%Not measuredOnly Llama 4 Maverick measured
SciCode31.7%50.1%MiniMax M2.7
Terminal-Bench Hard (Artificial Analysis run)6.8%39.4%MiniMax M2.7
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdML24.5%37.0%MiniMax M2.7
ALE-Bench173.0599.3MiniMax M2.7
LMArena Text: coding13011454MiniMax M2.7
LMArena Text: software and IT12991446MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1401Only MiniMax M2.7 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Llama 4 Maverick and MiniMax M2.7
BenchmarkLlama 4 MaverickMiniMax M2.7Leader
AA Intelligence Index9.322.8MiniMax M2.7
Epoch Capabilities Index132.2145.8MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Llama 4 Maverick and MiniMax M2.7
BenchmarkLlama 4 MaverickMiniMax M2.7Leader
AA Agentic Index0.615.3MiniMax M2.7
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom17.8%84.8%MiniMax M2.7
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Llama 4 Maverick and MiniMax M2.7
BenchmarkLlama 4 MaverickMiniMax M2.7Leader
GPQA Diamond69.4%86.6%MiniMax M2.7
MMMU Pro (Vals AI)71.7%Not measuredOnly Llama 4 Maverick measured
GPQA Diamond (Artificial Analysis run)67.1%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)4.9%29.6%MiniMax M2.7
ARC-AGI4.4%Not measuredOnly Llama 4 Maverick measured
ARC-AGI-20.0%Not measuredOnly Llama 4 Maverick measured
SimpleBench27.7%Not measuredOnly Llama 4 Maverick measured
LMArena Text: hard prompts12811422MiniMax M2.7
LMArena Text: expert12591443MiniMax M2.7
LMArena Text: hard prompts in English12951441MiniMax M2.7
LMArena Vision: diagrams1134Not measuredOnly Llama 4 Maverick measured
LMArena Vision: homework1164Not measuredOnly Llama 4 Maverick measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Llama 4 Maverick and MiniMax M2.7
BenchmarkLlama 4 MaverickMiniMax M2.7Leader
AIME25.2%91.0%MiniMax M2.7
MATH 500 (Vals AI)85.2%Not measuredOnly Llama 4 Maverick measured
MGSM (Vals AI)92.4%Not measuredOnly Llama 4 Maverick measured
AA Math Index19.3Not measuredOnly Llama 4 Maverick measured
AIME 2025 (Artificial Analysis run)19.3%Not measuredOnly Llama 4 Maverick measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
LMArena Text: math12991421MiniMax M2.7
LMArena Text: mathematical work12951437MiniMax M2.7
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index17
Knowledge benchmarks for Llama 4 Maverick and MiniMax M2.7
BenchmarkLlama 4 MaverickMiniMax M2.7Leader
MMLU Pro79.4%80.4%MiniMax M2.7
LegalBench (Vals AI)77.8%84.0%MiniMax M2.7
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)49.7%61.2%MiniMax M2.7
TaxEval (Vals AI)66.6%66.6%Tie
MortgageTax (Vals AI)58.5%Not measuredOnly Llama 4 Maverick measured
MedQA (Vals AI)43.3%Not measuredOnly Llama 4 Maverick measured
MedCode (Vals AI)36.5%34.4%Llama 4 Maverick
MMLU Pro (Artificial Analysis run)80.9%Not measuredOnly Llama 4 Maverick measured
GeoBench52.0%Not measuredOnly Llama 4 Maverick measured
LMArena Text: science12881416MiniMax M2.7
LMArena Text: medicine and healthcare12751409MiniMax M2.7
LMArena Text: legal and government12861403MiniMax M2.7
LMArena Text: business and finance12601407MiniMax M2.7
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Llama 4 Maverick and MiniMax M2.7
BenchmarkLlama 4 MaverickMiniMax M2.7Leader
Design Arena: websites8711243MiniMax M2.7
Design Arena: UI components8991210MiniMax M2.7
Design Arena: game dev8381210MiniMax M2.7
Design Arena: data viz8821233MiniMax M2.7
Design Arena: 3D9011195MiniMax M2.7
Design Arena: all code categories8801233MiniMax M2.7
Design Arena: SVGNot measured1136Only MiniMax M2.7 measured
Design Arena: ASCII artNot measured1136Only MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for Llama 4 Maverick and MiniMax M2.7
BenchmarkLlama 4 MaverickMiniMax M2.7Leader
SAGE (Vals AI)35.7%Not measuredOnly Llama 4 Maverick measured
MedScribe (Vals AI)54.2%79.9%MiniMax M2.7
IFBench43.0%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)50.0%78.3%MiniMax M2.7
DTBench61.9%Not measuredOnly Llama 4 Maverick measured
LMCA15.9%Not measuredOnly Llama 4 Maverick measured
Fiction.LiveBench46.2%Not measuredOnly Llama 4 Maverick measured
Creative writing (Lech Mazur)62.0%Not measuredOnly Llama 4 Maverick measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text12871405MiniMax M2.7
LMArena Text: instruction following12671405MiniMax M2.7
LMArena Text: creative writing12661354MiniMax M2.7
LMArena Vision1142Not measuredOnly Llama 4 Maverick measured
LMArena Text: English13031426MiniMax M2.7
LMArena Text: non-English12691382MiniMax M2.7
LMArena Text: Chinese12771442MiniMax M2.7
LMArena Text: German12911398MiniMax M2.7
LMArena Text: Japanese12061260MiniMax M2.7
LMArena Text: Korean12031314MiniMax M2.7
LMArena Text: French12591424MiniMax M2.7
LMArena Text: Spanish12931402MiniMax M2.7
LMArena Text: Russian12861383MiniMax M2.7
LMArena Text: Polish12751387MiniMax M2.7
LMArena Text: multi-turn12891412MiniMax M2.7
LMArena Text: longer queries12801418MiniMax M2.7
LMArena Text: writing and language12771376MiniMax M2.7
LMArena Text: entertainment and media12501360MiniMax M2.7
LMArena Vision: English1150Not measuredOnly Llama 4 Maverick measured
LMArena Vision: Chinese1141Not measuredOnly Llama 4 Maverick measured
LMArena Vision: reading text1143Not measuredOnly Llama 4 Maverick measured
LMArena Vision: humor1100Not measuredOnly Llama 4 Maverick measured
LMArena Vision: creative writing1099Not measuredOnly Llama 4 Maverick 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 Llama 4 Maverick and MiniMax M2.7
BenchmarkLlama 4 MaverickMiniMax 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

Llama 4 Maverick$0.0005Fits in one request
MiniMax M2.7$0.0009Fits in one request

Llama 4 Maverick costs less

Repository review

50K input + 3K output tokens

Llama 4 Maverick$0.011Fits in one request
MiniMax M2.7$0.019Fits in one request

Llama 4 Maverick costs less

Agent loop

200K input + 10K output tokens

Llama 4 Maverick$0.044Fits in one request
MiniMax M2.7$0.072Exceeds the context window

Llama 4 Maverick 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 Llama 4 Maverick and MiniMax M2.7
SpecificationMeta Llama 4 MaverickMiniMax M2.7
MakerMeta LlamaMiniMax
WeightsOpen weightsOpen weights
ReleasedApril 5, 2025March 18, 2026
Context window524K205K
Input $/Mtok$0.1875$0.30
Output $/Mtok$0.6525$1.20
Coding index18.128.4
Independent measurements behind it21
Cost per solved task$1.491$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 4 Maverick better than MiniMax M2.7 for coding?

Pick MiniMax M2.7 for coding: it scores 28.4 on the Vibe Coding Index against 18.1 for Llama 4 Maverick, though on 1 benchmark against 2. Pick Llama 4 Maverick when output tokens cost 1.8x less, or when the context window is larger, 524K against 205K tokens.

Which is cheaper, Llama 4 Maverick or MiniMax M2.7?

Llama 4 Maverick costs $0.1875 per million input tokens and $0.6525 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Llama 4 Maverick costs $1.491 and MiniMax M2.7 $0.64.

Which has the bigger context window, Llama 4 Maverick or MiniMax M2.7?

Llama 4 Maverick, with 524K tokens against 205K.

How many benchmarks is the Llama 4 Maverick vs MiniMax M2.7 comparison based on?

56 benchmarks have a result for both models as of October 21, 2026. Llama 4 Maverick's coding index rests on 2 independent benchmarks and MiniMax M2.7's on 1. Where only one model has a result, the page says so instead of naming a winner.

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