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Llama 4 Scout vs MiniMax M2.7

MiniMax M2.7 leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 22.8 to 6.5, and Llama 4 Scout costs 2.4x less per output token ($0.50 vs $1.20 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Replace Llama 4 Scout Replace MiniMax M2.7
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
53
vs boards won of 53 shared

Llama 4 Scout or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding.

Pick Llama 4 Scout for output tokens 2.4x cheaper ($0.50 vs $1.20 per million) and a larger context window (1.31M against 205K tokens).

Model ALlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
53
Llama 4 Scout only
29
MiniMax M2.7 only
21
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
Llama 4 Scout not benchmarked, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Web design, 53.8 points apart on average over 5 shared benchmarks.
Widest single gap
AIME: Llama 4 Scout 19.0% against MiniMax M2.7 91.0%, 72.1 points apart on a 0 to 100 scale.
Output price
Llama 4 Scout $0.50 against MiniMax M2.7 $1.20 per million output tokens, 2.4x apart.
Context window
Llama 4 Scout takes 1.31M 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 ScoutBarsMiniMax M2.7Ties
Coding06
Intelligence02
Agentic work02
Reasoning06
Math03
Knowledge09
Web design05
General020
All shared boards053
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Llama 4 Scout and MiniMax M2.7
BenchmarkLlama 4 ScoutMiniMax M2.7Leader
SWE-bench Verified9.1%Not measuredOnly Llama 4 Scout measured
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding Index8.252.6MiniMax M2.7
LiveCodeBench (Vals AI)38.5%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)29.9%Not measuredOnly Llama 4 Scout measured
SciCode21.3%50.1%MiniMax M2.7
Terminal-Bench Hard (Artificial Analysis run)1.5%39.4%MiniMax M2.7
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding12861454MiniMax M2.7
LMArena Text: software and IT12861446MiniMax 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 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Llama 4 Scout and MiniMax M2.7
BenchmarkLlama 4 ScoutMiniMax M2.7Leader
AA Intelligence Index6.522.8MiniMax M2.7
Epoch Capabilities Index129.6145.8MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Llama 4 Scout and MiniMax M2.7
BenchmarkLlama 4 ScoutMiniMax M2.7Leader
AA Agentic Index0.515.3MiniMax 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 Telecom15.5%84.8%MiniMax M2.7
Berkeley Function Calling Leaderboard (BFCL)28.1%Not measuredOnly Llama 4 Scout measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Llama 4 Scout and MiniMax M2.7
BenchmarkLlama 4 ScoutMiniMax M2.7Leader
GPQA Diamond47.0%86.6%MiniMax M2.7
MMMU Pro (Vals AI)58.8%Not measuredOnly Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)58.7%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)3.8%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)51.8%Not measuredOnly Llama 4 Scout measured
ARC-AGI0.5%Not measuredOnly Llama 4 Scout measured
ARC-AGI-20.0%Not measuredOnly Llama 4 Scout measured
LMArena Text: hard prompts12661422MiniMax M2.7
LMArena Text: expert12351443MiniMax M2.7
LMArena Text: hard prompts in English12931441MiniMax M2.7
LMArena Vision: diagrams1125Not measuredOnly Llama 4 Scout measured
LMArena Vision: homework1148Not measuredOnly Llama 4 Scout measured
Kagi LLM Benchmark36.9%Not measuredOnly Llama 4 Scout measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Llama 4 Scout and MiniMax M2.7
BenchmarkLlama 4 ScoutMiniMax M2.7Leader
AIME19.0%91.0%MiniMax M2.7
MATH 500 (Vals AI)79.2%Not measuredOnly Llama 4 Scout measured
MGSM (Vals AI)88.0%Not measuredOnly Llama 4 Scout measured
AA Math Index14.0Not measuredOnly Llama 4 Scout measured
AIME 2025 (Artificial Analysis run)14.0%Not measuredOnly Llama 4 Scout measured
OTIS Mock AIME7.8%Not measuredOnly Llama 4 Scout measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
MATH level 562.3%Not measuredOnly Llama 4 Scout measured
LMArena Text: math12871421MiniMax M2.7
LMArena Text: mathematical work12861437MiniMax M2.7
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for Llama 4 Scout and MiniMax M2.7
BenchmarkLlama 4 ScoutMiniMax M2.7Leader
MMLU Pro69.6%80.4%MiniMax M2.7
LegalBench (Vals AI)72.0%84.0%MiniMax M2.7
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)46.8%61.2%MiniMax M2.7
TaxEval (Vals AI)55.2%66.6%MiniMax M2.7
MortgageTax (Vals AI)57.8%Not measuredOnly Llama 4 Scout measured
MedQA (Vals AI)50.9%Not measuredOnly Llama 4 Scout measured
MedCode (Vals AI)23.3%34.4%MiniMax M2.7
MMLU Pro (Artificial Analysis run)75.2%Not measuredOnly Llama 4 Scout measured
LMArena Text: science12781416MiniMax M2.7
LMArena Text: medicine and healthcare12751409MiniMax M2.7
LMArena Text: legal and government12851403MiniMax M2.7
LMArena Text: business and finance12571407MiniMax M2.7
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Llama 4 Scout and MiniMax M2.7
BenchmarkLlama 4 ScoutMiniMax M2.7Leader
Design Arena: websites7501242MiniMax M2.7
Design Arena: UI components7651207MiniMax M2.7
Design Arena: game dev7721209MiniMax M2.7
Design Arena: data viz8961233MiniMax M2.7
Design Arena: 3DNot measured1194Only MiniMax M2.7 measured
Design Arena: all code categories7891233MiniMax M2.7
Design Arena: SVGNot measured1137Only 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 Scout and MiniMax M2.7
BenchmarkLlama 4 ScoutMiniMax M2.7Leader
SAGE (Vals AI)34.8%Not measuredOnly Llama 4 Scout measured
MedScribe (Vals AI)50.6%79.9%MiniMax M2.7
IFBench39.5%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)27.7%78.3%MiniMax M2.7
DTBench57.9%Not measuredOnly Llama 4 Scout measured
LMCA12.0%Not measuredOnly Llama 4 Scout measured
Fiction.LiveBench36.0%Not measuredOnly Llama 4 Scout measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text12791405MiniMax M2.7
LMArena Text: instruction following12481405MiniMax M2.7
LMArena Text: creative writing12491354MiniMax M2.7
LMArena Vision1118Not measuredOnly Llama 4 Scout measured
LMArena Text: English13041426MiniMax M2.7
LMArena Text: non-English12521382MiniMax M2.7
LMArena Text: Chinese12551442MiniMax M2.7
LMArena Text: German12731398MiniMax M2.7
LMArena Text: Japanese12061260MiniMax M2.7
LMArena Text: Korean12071314MiniMax M2.7
LMArena Text: French12831424MiniMax M2.7
LMArena Text: Spanish12781402MiniMax M2.7
LMArena Text: Russian12631383MiniMax M2.7
LMArena Text: Polish12651387MiniMax M2.7
LMArena Text: multi-turn12801412MiniMax M2.7
LMArena Text: longer queries12651418MiniMax M2.7
LMArena Text: writing and language12691376MiniMax M2.7
LMArena Text: entertainment and media12421360MiniMax M2.7
LMArena Vision: English1143Not measuredOnly Llama 4 Scout measured
LMArena Vision: Chinese1106Not measuredOnly Llama 4 Scout measured
LMArena Vision: reading text1117Not measuredOnly Llama 4 Scout measured
LMArena Vision: humor1102Not measuredOnly Llama 4 Scout measured
LMArena Vision: creative writing1126Not measuredOnly Llama 4 Scout measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Llama 4 Scout and MiniMax M2.7
BenchmarkLlama 4 ScoutMiniMax 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 Scout$0.0004Fits in one request
MiniMax M2.7$0.0009Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Llama 4 Scout$0.010Fits in one request
MiniMax M2.7$0.019Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Llama 4 Scout$0.040Fits in one request
MiniMax M2.7$0.072Exceeds the context window

Llama 4 Scout 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 Scout and MiniMax M2.7
SpecificationMeta Llama 4 ScoutMiniMax M2.7
MakerMeta LlamaMiniMax
WeightsOpen weightsOpen weights
ReleasedApril 5, 2025March 18, 2026
Context window1.31M205K
Input $/Mtok$0.175$0.30
Output $/Mtok$0.50$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it03
Cost per solved task$1.276$0.64
SourceOpenRouter listingOpenRouter listing

Questions

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

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 2.4x cheaper ($0.50 vs $1.20 per million) and a larger context window (1.31M against 205K tokens).

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

Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Llama 4 Scout costs $1.276 and MiniMax M2.7 $0.64.

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

Llama 4 Scout, with 1.31M tokens against 205K.

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

53 benchmarks have a result for both models as of October 22, 2026. Llama 4 Scout's coding index rests on 0 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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