Enter opens the highlighted result. Esc closes.

Llama 3.2 3B Instruct vs o4 Mini High

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Llama 3.2 3B Instruct Replace o4 Mini High
Llama 3.2 3B InstructMeta Llama
Coding
No data
Overall
5.7
Output $/M
$0.3325
o4 Mini HighOpenAI
Coding
No data
Overall
No data
Output $/M
$4.40
vs $0.3325 vs $4.40 per 1M output tokens. Llama 3.2 3B Instruct is 13.2x cheaper.

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Llama 3.2 3B Instruct has the edge where output tokens cost 13.2x less.

Model ALlama 3.2 3B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo4 Mini HighOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
0
Llama 3.2 3B Instruct only
34
o4 Mini High only
2
Like-for-like categories
0 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 3.2 3B Instruct not benchmarked, o4 Mini High not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Llama 3.2 3B Instruct $0.3325 against o4 Mini High $4.40 per million output tokens, 13.2x apart.
Context window
Llama 3.2 3B Instruct takes 131K tokens, o4 Mini High 200K.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
Coding benchmarks for Llama 3.2 3B Instruct and o4 Mini High
BenchmarkLlama 3.2 3B Instructo4 Mini HighLeader
LiveCodeBench (Artificial Analysis run)8.3%Not measuredOnly Llama 3.2 3B Instruct measured
ALE-BenchNot measured826.2Only o4 Mini High measured
LMArena Text: coding1098Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: software and IT1103Not measuredOnly Llama 3.2 3B Instruct measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Llama 3.2 3B Instruct and o4 Mini High
BenchmarkLlama 3.2 3B Instructo4 Mini HighLeader
AA Intelligence Index5.7Not measuredOnly Llama 3.2 3B Instruct measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Llama 3.2 3B Instruct and o4 Mini High
BenchmarkLlama 3.2 3B Instructo4 Mini HighLeader
τ²-Bench Telecom21.1%Not measuredOnly Llama 3.2 3B Instruct measured
GDPvalNot measured25.3%Only o4 Mini High measured
BALROG10.1%Not measuredOnly Llama 3.2 3B Instruct measured
Neither model has a result on the other 36 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Llama 3.2 3B Instruct and o4 Mini High
BenchmarkLlama 3.2 3B Instructo4 Mini HighLeader
GPQA Diamond (Artificial Analysis run)25.5%Not measuredOnly Llama 3.2 3B Instruct measured
Humanity's Last Exam (Artificial Analysis run)5.3%Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: hard prompts1095Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: expert1090Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: hard prompts in English1141Not measuredOnly Llama 3.2 3B Instruct measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Llama 3.2 3B Instruct and o4 Mini High
BenchmarkLlama 3.2 3B Instructo4 Mini HighLeader
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
LMArena Text: math1126Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: mathematical work1128Not measuredOnly Llama 3.2 3B Instruct measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Llama 3.2 3B Instruct and o4 Mini High
BenchmarkLlama 3.2 3B Instructo4 Mini HighLeader
MMLU Pro (Artificial Analysis run)34.7%Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: science1106Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: medicine and healthcare1104Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: legal and government1115Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: business and finance1074Not measuredOnly Llama 3.2 3B Instruct measured
Neither model has a result on the other 12 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Llama 3.2 3B Instruct and o4 Mini High
BenchmarkLlama 3.2 3B Instructo4 Mini HighLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
General benchmarks for Llama 3.2 3B Instruct and o4 Mini High
BenchmarkLlama 3.2 3B Instructo4 Mini HighLeader
IFBench26.2%Not measuredOnly Llama 3.2 3B Instruct measured
Long context reasoning (AA-LCR)4.3%Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text1110Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: instruction following1089Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: creative writing1094Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: English1180Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: non-English1019Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: Chinese1017Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: German1056Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: Russian949Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: multi-turn1105Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: longer queries1100Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: writing and language1096Not measuredOnly Llama 3.2 3B Instruct measured
LMArena Text: entertainment and media1083Not measuredOnly Llama 3.2 3B Instruct measured
Neither model has a result on the other 32 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 o4 Mini High
BenchmarkLlama 3.2 3B Instructo4 Mini HighLeader
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
o4 Mini High$0.0033Fits 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
o4 Mini High$0.068Fits 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
o4 Mini High$0.264Exceeds 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 o4 Mini High
SpecificationMeta Llama 3.2 3B InstructOpenAI o4 Mini High
MakerMeta LlamaOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 25, 2024April 16, 2025
Context window131K200K
Input $/Mtok$0.0505$1.10
Output $/Mtok$0.3325$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 3.2 3B Instruct better than o4 Mini High for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Llama 3.2 3B Instruct has the edge where output tokens cost 13.2x less.

Which is cheaper, Llama 3.2 3B Instruct or o4 Mini High?

Llama 3.2 3B Instruct costs $0.0505 per million input tokens and $0.3325 per million output tokens; o4 Mini High costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Llama 3.2 3B Instruct or o4 Mini High?

o4 Mini High, with 200K tokens against 131K.

How many benchmarks is the Llama 3.2 3B Instruct vs o4 Mini High comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Llama 3.2 3B Instruct's coding index rests on 0 independent benchmarks and o4 Mini High's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next