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Llama 4 Scout vs MiMo-V2.5-Pro

MiMo-V2.5-Pro leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 26.0 to 6.5, and Llama 4 Scout costs 1.8x less per output token ($0.50 vs $0.9152 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
53
vs boards won of 53 shared

Llama 4 Scout or MiMo-V2.5-Pro: which to pick

Only MiMo-V2.5-Pro has a coding score, 31.6 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 1.8x cheaper ($0.50 vs $0.9152 per million) and a larger context window (1.31M against 1.05M tokens).

Shared results
53
Llama 4 Scout only
29
MiMo-V2.5-Pro only
17
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, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Web design, 58.1 points apart on average over 5 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Llama 4 Scout 15.5% against MiMo-V2.5-Pro 94.2%, 78.7 points apart on a 0 to 100 scale.
Output price
Llama 4 Scout $0.50 against MiMo-V2.5-Pro $0.9152 per million output tokens, 1.8x apart.
Context window
Llama 4 Scout takes 1.31M tokens, MiMo-V2.5-Pro 1.05M.

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 ScoutBarsMiMo-V2.5-ProTies
Coding06
Intelligence01
Agentic work02
Reasoning06
Math02
Knowledge09
Web design05
General022
All shared boards053
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Llama 4 Scout and MiMo-V2.5-Pro
BenchmarkLlama 4 ScoutMiMo-V2.5-ProLeader
SWE-bench Verified9.1%Not measuredOnly Llama 4 Scout measured
LMArena WebDevNot measured1480Only MiMo-V2.5-Pro measured
AA Coding Index8.260.2MiMo-V2.5-Pro
LiveCodeBench (Vals AI)38.5%81.3%MiMo-V2.5-Pro
SWE-bench Verified (Vals AI)Not measured74.0%Only MiMo-V2.5-Pro measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)Not measured34.1%Only MiMo-V2.5-Pro measured
Code migration (Vals AI)Not measured21.6%Only MiMo-V2.5-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured57.3%Only MiMo-V2.5-Pro measured
LiveCodeBench (Artificial Analysis run)29.9%Not measuredOnly Llama 4 Scout measured
SciCode21.3%50.6%MiMo-V2.5-Pro
Terminal-Bench Hard (Artificial Analysis run)1.5%43.2%MiMo-V2.5-Pro
ALE-BenchNot measured899.8Only MiMo-V2.5-Pro measured
LMArena Text: coding12861501MiMo-V2.5-Pro
LMArena Text: software and IT12861495MiMo-V2.5-Pro
LMArena WebDev: ReactNot measured1469Only MiMo-V2.5-Pro measured
LMArena WebDev: HTMLNot measured1473Only MiMo-V2.5-Pro measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 4 Scout and MiMo-V2.5-Pro
BenchmarkLlama 4 ScoutMiMo-V2.5-ProLeader
AA Intelligence Index6.526.0MiMo-V2.5-Pro
Epoch Capabilities Index129.6Not measuredOnly Llama 4 Scout measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Llama 4 Scout and MiMo-V2.5-Pro
BenchmarkLlama 4 ScoutMiMo-V2.5-ProLeader
AA Agentic Index0.521.3MiMo-V2.5-Pro
Finance Agent (Vals AI)Not measured41.5%Only MiMo-V2.5-Pro measured
Tax Agent Bench (Vals AI)Not measured11.5%Only MiMo-V2.5-Pro measured
Legal Research Bench (Vals AI)Not measured15.9%Only MiMo-V2.5-Pro measured
Excel Modeling Benchmark (Vals AI)Not measured55.2%Only MiMo-V2.5-Pro measured
τ²-Bench Telecom15.5%94.2%MiMo-V2.5-Pro
Berkeley Function Calling Leaderboard (BFCL)28.1%Not measuredOnly Llama 4 Scout measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Llama 4 Scout and MiMo-V2.5-Pro
BenchmarkLlama 4 ScoutMiMo-V2.5-ProLeader
GPQA Diamond47.0%82.6%MiMo-V2.5-Pro
MMMU Pro (Vals AI)58.8%Not measuredOnly Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)58.7%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)3.8%35.7%MiMo-V2.5-Pro
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 prompts12661486MiMo-V2.5-Pro
LMArena Text: expert12351501MiMo-V2.5-Pro
LMArena Text: hard prompts in English12931494MiMo-V2.5-Pro
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 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Llama 4 Scout and MiMo-V2.5-Pro
BenchmarkLlama 4 ScoutMiMo-V2.5-ProLeader
AIME19.0%Not measuredOnly Llama 4 Scout measured
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 measured22.0%Only MiMo-V2.5-Pro measured
MATH level 562.3%Not measuredOnly Llama 4 Scout measured
LMArena Text: math12871481MiMo-V2.5-Pro
LMArena Text: mathematical work12861491MiMo-V2.5-Pro
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for Llama 4 Scout and MiMo-V2.5-Pro
BenchmarkLlama 4 ScoutMiMo-V2.5-ProLeader
MMLU Pro69.6%84.6%MiMo-V2.5-Pro
LegalBench (Vals AI)72.0%77.1%MiMo-V2.5-Pro
CorpFin (Vals AI)46.8%61.4%MiMo-V2.5-Pro
TaxEval (Vals AI)55.2%73.8%MiMo-V2.5-Pro
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%32.5%MiMo-V2.5-Pro
MMLU Pro (Artificial Analysis run)75.2%Not measuredOnly Llama 4 Scout measured
LMArena Text: science12781482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare12751473MiMo-V2.5-Pro
LMArena Text: legal and government12851474MiMo-V2.5-Pro
LMArena Text: business and finance12571466MiMo-V2.5-Pro
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Llama 4 Scout and MiMo-V2.5-Pro
BenchmarkLlama 4 ScoutMiMo-V2.5-ProLeader
Design Arena: websites7501266MiMo-V2.5-Pro
Design Arena: UI components7651246MiMo-V2.5-Pro
Design Arena: game dev7721261MiMo-V2.5-Pro
Design Arena: data viz8961257MiMo-V2.5-Pro
Design Arena: 3DNot measured1243Only MiMo-V2.5-Pro measured
Design Arena: all code categories7891265MiMo-V2.5-Pro
Design Arena: SVGNot measured1181Only MiMo-V2.5-Pro measured
Design Arena: ASCII artNot measured1156Only MiMo-V2.5-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index022
General benchmarks for Llama 4 Scout and MiMo-V2.5-Pro
BenchmarkLlama 4 ScoutMiMo-V2.5-ProLeader
SAGE (Vals AI)34.8%Not measuredOnly Llama 4 Scout measured
MedScribe (Vals AI)50.6%83.7%MiMo-V2.5-Pro
IFBench39.5%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)27.7%79.7%MiMo-V2.5-Pro
DTBench57.9%84.5%MiMo-V2.5-Pro
LMCA12.0%29.5%MiMo-V2.5-Pro
Fiction.LiveBench36.0%Not measuredOnly Llama 4 Scout measured
LMArena Text12791464MiMo-V2.5-Pro
LMArena Text: instruction following12481475MiMo-V2.5-Pro
LMArena Text: creative writing12491438MiMo-V2.5-Pro
LMArena Vision1118Not measuredOnly Llama 4 Scout measured
LMArena Text: English13041477MiMo-V2.5-Pro
LMArena Text: non-English12521448MiMo-V2.5-Pro
LMArena Text: Chinese12551507MiMo-V2.5-Pro
LMArena Text: German12731459MiMo-V2.5-Pro
LMArena Text: Japanese12061410MiMo-V2.5-Pro
LMArena Text: Korean12071435MiMo-V2.5-Pro
LMArena Text: French12831487MiMo-V2.5-Pro
LMArena Text: Spanish12781469MiMo-V2.5-Pro
LMArena Text: Russian12631449MiMo-V2.5-Pro
LMArena Text: Polish12651464MiMo-V2.5-Pro
LMArena Text: multi-turn12801476MiMo-V2.5-Pro
LMArena Text: longer queries12651481MiMo-V2.5-Pro
LMArena Text: writing and language12691451MiMo-V2.5-Pro
LMArena Text: entertainment and media12421438MiMo-V2.5-Pro
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 16 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 MiMo-V2.5-Pro
BenchmarkLlama 4 ScoutMiMo-V2.5-ProLeader
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
MiMo-V2.5-Pro$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
MiMo-V2.5-Pro$0.026Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Llama 4 Scout$0.040Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

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 MiMo-V2.5-Pro
SpecificationMeta Llama 4 ScoutXiaomi MiMo-V2.5-Pro
MakerMeta LlamaXiaomi
WeightsOpen weightsOpen weights
ReleasedApril 5, 2025April 22, 2026
Context window1.31M1.05M
Input $/Mtok$0.175$0.4575
Output $/Mtok$0.50$0.9152
Coding indexNot benchmarked31.6
Independent measurements behind it04
Cost per solved task$1.276$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 4 Scout better than MiMo-V2.5-Pro for coding?

Only MiMo-V2.5-Pro has a coding score, 31.6 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 1.8x cheaper ($0.50 vs $0.9152 per million) and a larger context window (1.31M against 1.05M tokens).

Which is cheaper, Llama 4 Scout or MiMo-V2.5-Pro?

Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Llama 4 Scout costs $1.276 and MiMo-V2.5-Pro $0.03.

Which has the bigger context window, Llama 4 Scout or MiMo-V2.5-Pro?

Llama 4 Scout, with 1.31M tokens against 1.05M.

How many benchmarks is the Llama 4 Scout vs MiMo-V2.5-Pro 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 MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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