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Kimi K2.5 vs Llama 3.2 1B Instruct

Kimi K2.5 leads Llama 3.2 1B Instruct on the Artificial Analysis Intelligence Index, 23.5 to 4.8, and Llama 3.2 1B Instruct costs 14.2x less per output token ($0.201 vs $2.85 per million). Updated October 21, 2026; 30 benchmarks have a result for both.

Replace Kimi K2.5 Replace Llama 3.2 1B Instruct
Kimi K2.5Moonshot AI
Coding
38.6
Overall
23.5
Output $/M
$2.85
30
Llama 3.2 1B InstructMeta Llama
Coding
No data
Overall
4.8
Output $/M
$0.201
0
vs boards won of 30 shared

Kimi K2.5 or Llama 3.2 1B Instruct: which to pick

Only Kimi K2.5 has a coding score, 38.6 on the Vibe Coding Index; Llama 3.2 1B Instruct has none, so the two cannot be ranked on coding.

Pick Llama 3.2 1B Instruct for output tokens 14.2x cheaper ($0.201 vs $2.85 per million).

Model AKimi K2.5Moonshot AI38.6/1003 independent benchmarks$0.24 per solved taskModel BLlama 3.2 1B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
30
Kimi K2.5 only
68
Llama 3.2 1B Instruct only
7
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
Kimi K2.5 38.6 from 3 benchmarks, Llama 3.2 1B Instruct not benchmarked.
Widest category
Agentic work, 95.9 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Kimi K2.5 95.9% against Llama 3.2 1B Instruct 0.0%, 95.9 points apart on a 0 to 100 scale.
Output price
Kimi K2.5 $2.85 against Llama 3.2 1B Instruct $0.201 per million output tokens, 14.2x apart.
Context window
Kimi K2.5 takes 262K tokens, Llama 3.2 1B Instruct 60K.

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
CategoryKimi K2.5BarsLlama 3.2 1B InstructTies
Coding30
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge40
General140
All shared boards300
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Kimi K2.5 and Llama 3.2 1B Instruct
BenchmarkKimi K2.5Llama 3.2 1B InstructLeader
SWE-bench Verified70.8%Not measuredOnly Kimi K2.5 measured
SWE-bench Multilingual67.3%Not measuredOnly Kimi K2.5 measured
LMArena WebDev1437Not measuredOnly Kimi K2.5 measured
AA Coding Index46.8Not measuredOnly Kimi K2.5 measured
LiveCodeBench (Vals AI)83.9%Not measuredOnly Kimi K2.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Kimi K2.5 measured
Vibe Code Bench (Vals AI)17.5%Not measuredOnly Kimi K2.5 measured
Code migration (Vals AI)7.0%Not measuredOnly Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)42.0%Not measuredOnly Kimi K2.5 measured
LiveCodeBench (Artificial Analysis run)Not measured1.9%Only Llama 3.2 1B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)34.8%0.0%Kimi K2.5
Terminal-Bench43.2%Not measuredOnly Kimi K2.5 measured
WeirdML45.6%Not measuredOnly Kimi K2.5 measured
ALE-Bench821.6Not measuredOnly Kimi K2.5 measured
LMArena Text: coding14831070Kimi K2.5
LMArena Text: software and IT14711056Kimi K2.5
LMArena WebDev: React1429Not measuredOnly Kimi K2.5 measured
LMArena WebDev: HTML1426Not measuredOnly Kimi K2.5 measured
LMArena WebDev: from an image1439Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Kimi K2.5 and Llama 3.2 1B Instruct
BenchmarkKimi K2.5Llama 3.2 1B InstructLeader
AA Intelligence Index23.54.8Kimi K2.5
Epoch Capabilities Index148.1Not measuredOnly Kimi K2.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Kimi K2.5 and Llama 3.2 1B Instruct
BenchmarkKimi K2.5Llama 3.2 1B InstructLeader
Design Arena: agents building web apps1136Not measuredOnly Kimi K2.5 measured
Design Arena: agents building full-stack apps1114Not measuredOnly Kimi K2.5 measured
Design Arena: agents building mobile apps1147Not measuredOnly Kimi K2.5 measured
Design Arena: agents building Android apps1118Not measuredOnly Kimi K2.5 measured
Design Arena: agents building Godot games1219Not measuredOnly Kimi K2.5 measured
Finance Agent (Vals AI)35.8%Not measuredOnly Kimi K2.5 measured
Legal Research Bench (Vals AI)15.9%Not measuredOnly Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)28.5%Not measuredOnly Kimi K2.5 measured
τ²-Bench Telecom95.9%0.0%Kimi K2.5
BALROGNot measured6.6%Only Llama 3.2 1B Instruct measured
OSWorld63.3%Not measuredOnly Kimi K2.5 measured
Vending-Bench 2$1,198Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Kimi K2.5 and Llama 3.2 1B Instruct
BenchmarkKimi K2.5Llama 3.2 1B InstructLeader
GPQA Diamond84.1%Not measuredOnly Kimi K2.5 measured
MMMU Pro (Vals AI)84.3%Not measuredOnly Kimi K2.5 measured
GPQA Diamond (Artificial Analysis run)87.9%19.6%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)30.7%5.5%Kimi K2.5
GPQA Diamond (Epoch AI run)Not measured23.9%Only Llama 3.2 1B Instruct measured
ARC-AGI65.3%Not measuredOnly Kimi K2.5 measured
ARC-AGI-211.8%Not measuredOnly Kimi K2.5 measured
SimpleBench46.8%Not measuredOnly Kimi K2.5 measured
LMArena Text: hard prompts14531044Kimi K2.5
LMArena Text: expert14661007Kimi K2.5
LMArena Text: hard prompts in English14601087Kimi K2.5
LMArena Vision: diagrams1282Not measuredOnly Kimi K2.5 measured
LMArena Vision: homework1297Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Kimi K2.5 and Llama 3.2 1B Instruct
BenchmarkKimi K2.5Llama 3.2 1B InstructLeader
AIME95.6%Not measuredOnly Kimi K2.5 measured
AA Math IndexNot measured0.0Only Llama 3.2 1B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured0.0%Only Llama 3.2 1B Instruct measured
OTIS Mock AIMENot measured0.6%Only Llama 3.2 1B Instruct measured
LMArena Text: math14701086Kimi K2.5
LMArena Text: mathematical work14731098Kimi K2.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Kimi K2.5 and Llama 3.2 1B Instruct
BenchmarkKimi K2.5Llama 3.2 1B InstructLeader
MMLU Pro85.9%Not measuredOnly Kimi K2.5 measured
CaseLaw (Vals AI)58.7%Not measuredOnly Kimi K2.5 measured
CorpFin (Vals AI)68.3%Not measuredOnly Kimi K2.5 measured
TaxEval (Vals AI)74.2%Not measuredOnly Kimi K2.5 measured
MortgageTax (Vals AI)66.5%Not measuredOnly Kimi K2.5 measured
MedQA (Vals AI)94.4%Not measuredOnly Kimi K2.5 measured
MedCode (Vals AI)39.3%Not measuredOnly Kimi K2.5 measured
MMLU Pro (Artificial Analysis run)Not measured20.0%Only Llama 3.2 1B Instruct measured
SimpleQA Verified34.3%Not measuredOnly Kimi K2.5 measured
LMArena Text: science14591055Kimi K2.5
LMArena Text: medicine and healthcare14481009Kimi K2.5
LMArena Text: legal and government14411071Kimi K2.5
LMArena Text: business and finance14271000Kimi K2.5
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Kimi K2.5 and Llama 3.2 1B Instruct
BenchmarkKimi K2.5Llama 3.2 1B InstructLeader
Design Arena: websites1248Not measuredOnly Kimi K2.5 measured
Design Arena: UI components1236Not measuredOnly Kimi K2.5 measured
Design Arena: game dev1207Not measuredOnly Kimi K2.5 measured
Design Arena: data viz1219Not measuredOnly Kimi K2.5 measured
Design Arena: 3D1205Not measuredOnly Kimi K2.5 measured
Design Arena: all code categories1236Not measuredOnly Kimi K2.5 measured
Design Arena: SVG1149Not measuredOnly Kimi K2.5 measured
Design Arena: ASCII art1166Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index140
General benchmarks for Kimi K2.5 and Llama 3.2 1B Instruct
BenchmarkKimi K2.5Llama 3.2 1B InstructLeader
SAGE (Vals AI)49.9%Not measuredOnly Kimi K2.5 measured
MedScribe (Vals AI)76.4%Not measuredOnly Kimi K2.5 measured
IFBench70.2%22.8%Kimi K2.5
Long context reasoning (AA-LCR)78.0%6.7%Kimi K2.5
Fiction.LiveBench86.1%Not measuredOnly Kimi K2.5 measured
CL-bench19.3%Not measuredOnly Kimi K2.5 measured
CL-bench Life13.2%Not measuredOnly Kimi K2.5 measured
LMArena Text14451055Kimi K2.5
LMArena Text: instruction following14311031Kimi K2.5
LMArena Text: creative writing14221033Kimi K2.5
LMArena Vision1269Not measuredOnly Kimi K2.5 measured
LMArena Text: English14531117Kimi K2.5
LMArena Text: non-English1433973Kimi K2.5
LMArena Text: Chinese1494959Kimi K2.5
LMArena Text: German14411014Kimi K2.5
LMArena Text: Japanese1423Not measuredOnly Kimi K2.5 measured
LMArena Text: Korean1412Not measuredOnly Kimi K2.5 measured
LMArena Text: French1454Not measuredOnly Kimi K2.5 measured
LMArena Text: Spanish1450Not measuredOnly Kimi K2.5 measured
LMArena Text: Russian1435941Kimi K2.5
LMArena Text: Polish1445Not measuredOnly Kimi K2.5 measured
LMArena Text: multi-turn14441030Kimi K2.5
LMArena Text: longer queries14451050Kimi K2.5
LMArena Text: writing and language14251030Kimi K2.5
LMArena Text: entertainment and media14171025Kimi K2.5
LMArena Vision: English1274Not measuredOnly Kimi K2.5 measured
LMArena Vision: Chinese1328Not measuredOnly Kimi K2.5 measured
LMArena Vision: reading text1276Not measuredOnly Kimi K2.5 measured
LMArena Vision: humor1284Not measuredOnly Kimi K2.5 measured
LMArena Vision: captioning1257Not measuredOnly Kimi K2.5 measured
LMArena Vision: recognizing things1285Not measuredOnly Kimi K2.5 measured
LMArena Vision: creative writing1269Not measuredOnly Kimi K2.5 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 Kimi K2.5 and Llama 3.2 1B Instruct
BenchmarkKimi K2.5Llama 3.2 1B InstructLeader
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

Kimi K2.5$0.0020Fits in one request
Llama 3.2 1B Instruct$0.0001Fits in one request

Llama 3.2 1B Instruct costs less

Repository review

50K input + 3K output tokens

Kimi K2.5$0.035Fits in one request
Llama 3.2 1B Instruct$0.0020Fits in one request

Llama 3.2 1B Instruct costs less

Agent loop

200K input + 10K output tokens

Kimi K2.5$0.135Fits in one request
Llama 3.2 1B Instruct$0.0074Exceeds the context window

Llama 3.2 1B 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 Kimi K2.5 and Llama 3.2 1B Instruct
SpecificationMoonshotAI Kimi K2.5Meta Llama 3.2 1B Instruct
MakerMoonshot AIMeta Llama
WeightsOpen weightsOpen weights
ReleasedJanuary 27, 2026September 25, 2024
Context window262K60K
Input $/Mtok$0.532$0.027
Output $/Mtok$2.85$0.201
Coding index38.6Not benchmarked
Independent measurements behind it30
Cost per solved task$0.24Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.5 better than Llama 3.2 1B Instruct for coding?

Only Kimi K2.5 has a coding score, 38.6 on the Vibe Coding Index; Llama 3.2 1B Instruct has none, so the two cannot be ranked on coding. Pick Llama 3.2 1B Instruct for output tokens 14.2x cheaper ($0.201 vs $2.85 per million).

Which is cheaper, Kimi K2.5 or Llama 3.2 1B Instruct?

Kimi K2.5 costs $0.532 per million input tokens and $2.85 per million output tokens; Llama 3.2 1B Instruct costs $0.027 and $0.201. Cost per solved task is known for Kimi K2.5 only.

Which has the bigger context window, Kimi K2.5 or Llama 3.2 1B Instruct?

Kimi K2.5, with 262K tokens against 60K.

How many benchmarks is the Kimi K2.5 vs Llama 3.2 1B Instruct comparison based on?

30 benchmarks have a result for both models as of October 21, 2026. Kimi K2.5's coding index rests on 3 independent benchmarks and Llama 3.2 1B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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