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Llama 3.2 3B Instruct vs MiniMax M2.5

MiniMax M2.5 leads Llama 3.2 3B Instruct on the Artificial Analysis Intelligence Index, 22.8 to 5.7, and Llama 3.2 3B Instruct costs 3.6x less per output token ($0.3325 vs $1.20 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

Replace Llama 3.2 3B Instruct Replace MiniMax M2.5
Llama 3.2 3B InstructMeta Llama
Coding
No data
Overall
No data
Output $/M
$0.3325
0
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
29
vs boards won of 29 shared

Llama 3.2 3B Instruct or MiniMax M2.5: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Llama 3.2 3B Instruct has none, so the two cannot be ranked on coding.

Pick Llama 3.2 3B Instruct for output tokens 3.6x cheaper ($0.3325 vs $1.20 per million).

Model ALlama 3.2 3B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
29
Llama 3.2 3B Instruct only
6
MiniMax M2.5 only
42
Like-for-like categories
7 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 3.2 3B Instruct not benchmarked, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Agentic work, 74.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Llama 3.2 3B Instruct 21.1% against MiniMax M2.5 95.3%, 74.3 points apart on a 0 to 100 scale.
Output price
Llama 3.2 3B Instruct $0.3325 against MiniMax M2.5 $1.20 per million output tokens, 3.6x apart.
Context window
Llama 3.2 3B Instruct takes 131K tokens, MiniMax M2.5 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 3.2 3B InstructBarsMiniMax M2.5Ties
Coding02
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General014
All shared boards029
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Llama 3.2 3B Instruct and MiniMax M2.5
BenchmarkLlama 3.2 3B InstructMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDevNot measured1386Only MiniMax M2.5 measured
LiveCodeBench (Vals AI)Not measured79.2%Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)Not measured74.2%Only MiniMax M2.5 measured
Vibe Code Bench (Vals AI)Not measured14.8%Only MiniMax M2.5 measured
LiveCodeBench (Artificial Analysis run)8.3%Not measuredOnly Llama 3.2 3B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only MiniMax M2.5 measured
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
ALE-BenchNot measured618.2Only MiniMax M2.5 measured
LMArena Text: coding10981380MiniMax M2.5
LMArena Text: software and IT11031383MiniMax M2.5
LMArena WebDev: ReactNot measured1374Only MiniMax M2.5 measured
LMArena WebDev: HTMLNot measured1414Only MiniMax M2.5 measured
SWE Atlas: Codebase QnANot measured10.3%Only MiniMax M2.5 measured
SWE Atlas: RefactoringNot measured19.5%Only MiniMax M2.5 measured
SWE Atlas: Test WritingNot measured18.6%Only MiniMax M2.5 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 3.2 3B Instruct and MiniMax M2.5
BenchmarkLlama 3.2 3B InstructMiniMax M2.5Leader
AA Intelligence Index5.722.8MiniMax M2.5
Epoch Capabilities IndexNot measured146.6Only MiniMax M2.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Llama 3.2 3B Instruct and MiniMax M2.5
BenchmarkLlama 3.2 3B InstructMiniMax M2.5Leader
τ²-Bench Telecom21.1%95.3%MiniMax M2.5
BALROG10.1%Not measuredOnly Llama 3.2 3B Instruct measured
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Berkeley Function Calling Leaderboard (BFCL)21.9%Not measuredOnly Llama 3.2 3B Instruct measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Llama 3.2 3B Instruct and MiniMax M2.5
BenchmarkLlama 3.2 3B InstructMiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)25.5%84.8%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)5.3%20.5%MiniMax M2.5
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
LMArena Text: hard prompts10951372MiniMax M2.5
LMArena Text: expert10901378MiniMax M2.5
LMArena Text: hard prompts in English11411384MiniMax M2.5
Kagi LLM BenchmarkNot measured55.2%Only MiniMax M2.5 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Llama 3.2 3B Instruct and MiniMax M2.5
BenchmarkLlama 3.2 3B InstructMiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
AA Math Index3.3Not measuredOnly Llama 3.2 3B Instruct measured
AIME 2025 (Artificial Analysis run)3.3%Not measuredOnly Llama 3.2 3B Instruct measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
LMArena Text: math11261378MiniMax M2.5
LMArena Text: mathematical work11281378MiniMax M2.5
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Llama 3.2 3B Instruct and MiniMax M2.5
BenchmarkLlama 3.2 3B InstructMiniMax M2.5Leader
MMLU ProNot measured80.1%Only MiniMax M2.5 measured
LegalBench (Vals AI)Not measured80.0%Only MiniMax M2.5 measured
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)Not measured59.6%Only MiniMax M2.5 measured
TaxEval (Vals AI)Not measured68.2%Only MiniMax M2.5 measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
MMLU Pro (Artificial Analysis run)34.7%Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: science11061369MiniMax M2.5
LMArena Text: medicine and healthcare11041357MiniMax M2.5
LMArena Text: legal and government11151366MiniMax M2.5
LMArena Text: business and finance10741356MiniMax M2.5
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Llama 3.2 3B Instruct and MiniMax M2.5
BenchmarkLlama 3.2 3B InstructMiniMax M2.5Leader
Design Arena: websitesNot measured1222Only MiniMax M2.5 measured
Design Arena: UI componentsNot measured1170Only MiniMax M2.5 measured
Design Arena: game devNot measured1176Only MiniMax M2.5 measured
Design Arena: data vizNot measured1172Only MiniMax M2.5 measured
Design Arena: 3DNot measured1170Only MiniMax M2.5 measured
Design Arena: all code categoriesNot measured1207Only MiniMax M2.5 measured
Design Arena: SVGNot measured1150Only MiniMax M2.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Llama 3.2 3B Instruct and MiniMax M2.5
BenchmarkLlama 3.2 3B InstructMiniMax M2.5Leader
IFBench26.2%71.6%MiniMax M2.5
Long context reasoning (AA-LCR)4.3%73.3%MiniMax M2.5
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text11101359MiniMax M2.5
LMArena Text: instruction following10891353MiniMax M2.5
LMArena Text: creative writing10941331MiniMax M2.5
LMArena Text: English11801380MiniMax M2.5
LMArena Text: non-English10191338MiniMax M2.5
LMArena Text: Chinese10171393MiniMax M2.5
LMArena Text: German10561361MiniMax M2.5
LMArena Text: JapaneseNot measured1171Only MiniMax M2.5 measured
LMArena Text: KoreanNot measured1233Only MiniMax M2.5 measured
LMArena Text: FrenchNot measured1363Only MiniMax M2.5 measured
LMArena Text: SpanishNot measured1353Only MiniMax M2.5 measured
LMArena Text: Russian9491359MiniMax M2.5
LMArena Text: PolishNot measured1334Only MiniMax M2.5 measured
LMArena Text: multi-turn11051364MiniMax M2.5
LMArena Text: longer queries11001366MiniMax M2.5
LMArena Text: writing and language10961345MiniMax M2.5
LMArena Text: entertainment and media10831329MiniMax M2.5
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Llama 3.2 3B Instruct and MiniMax M2.5
BenchmarkLlama 3.2 3B InstructMiniMax M2.5Leader
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 3.2 3B Instruct$0.0002Fits in one request
MiniMax M2.5$0.0009Fits in one request

Llama 3.2 3B Instruct costs less

Repository review

50K input + 3K output tokens

Llama 3.2 3B Instruct$0.0035Fits in one request
MiniMax M2.5$0.019Fits in one request

Llama 3.2 3B Instruct costs less

Agent loop

200K input + 10K output tokens

Llama 3.2 3B Instruct$0.013Exceeds the context window
MiniMax M2.5$0.072Exceeds the context window

Llama 3.2 3B Instruct 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 3.2 3B Instruct and MiniMax M2.5
SpecificationMeta Llama 3.2 3B InstructMiniMax M2.5
MakerMeta LlamaMiniMax
WeightsOpen weightsOpen weights
ReleasedSeptember 25, 2024February 12, 2026
Context window131K205K
Input $/Mtok$0.0505$0.30
Output $/Mtok$0.3325$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it03
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 3.2 3B Instruct better than MiniMax M2.5 for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Llama 3.2 3B Instruct has none, so the two cannot be ranked on coding. Pick Llama 3.2 3B Instruct for output tokens 3.6x cheaper ($0.3325 vs $1.20 per million).

Which is cheaper, Llama 3.2 3B Instruct or MiniMax M2.5?

Llama 3.2 3B Instruct costs $0.0505 per million input tokens and $0.3325 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, Llama 3.2 3B Instruct or MiniMax M2.5?

MiniMax M2.5, with 205K tokens against 131K.

How many benchmarks is the Llama 3.2 3B Instruct vs MiniMax M2.5 comparison based on?

29 benchmarks have a result for both models as of October 22, 2026. Llama 3.2 3B Instruct's coding index rests on 0 independent benchmarks and MiniMax M2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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