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Llama 3.1 8B Instruct vs o4 Mini

Updated October 21, 2026. 45 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Llama 3.1 8B Instruct Replace o4 Mini
Llama 3.1 8B InstructMeta Llama
Coding
No data
Overall
6.9
Output $/M
$0.08
0
o4 MiniOpenAI
Coding
No data
Overall
16.7
Output $/M
$4.40
45
vs boards won of 45 shared

Decision reading

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

Llama 3.1 8B Instruct has the edge where output tokens cost 55.0x less, and where what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model ALlama 3.1 8B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
45
Llama 3.1 8B Instruct only
5
o4 Mini only
49
Like-for-like categories
7 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 3.1 8B Instruct not benchmarked, o4 Mini not benchmarked.
Widest category
Math, 66.0 points apart on average over 6 shared benchmarks.
Widest single gap
AA Math Index: Llama 3.1 8B Instruct 4.3 against o4 Mini 90.7, 86.4 points apart on a 0 to 100 scale.
Output price
Llama 3.1 8B Instruct $0.08 against o4 Mini $4.40 per million output tokens, 55.0x apart.
Context window
Llama 3.1 8B Instruct takes 131K tokens, o4 Mini 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.

Boards won, where both have a result
CategoryLlama 3.1 8B InstructBarso4 MiniTies
Coding05
Intelligence02
Agentic work01
Reasoning06
Math06
Knowledge05
General020
All shared boards045
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Llama 3.1 8B Instruct and o4 Mini
BenchmarkLlama 3.1 8B Instructo4 MiniLeader
Aider polyglotNot measured72.0%Only o4 Mini measured
SWE-bench VerifiedNot measured64.6%Only o4 Mini measured
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
AA Coding Index5.4Not measuredOnly Llama 3.1 8B Instruct measured
LiveCodeBench (Vals AI)Not measured82.2%Only o4 Mini measured
LiveCodeBench (Artificial Analysis run)11.6%85.9%o4 Mini
Terminal-Bench Hard (Artificial Analysis run)0.8%15.2%o4 Mini
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdML1.7%52.6%o4 Mini
LMArena Text: coding11951368o4 Mini
LMArena Text: software and IT11951367o4 Mini
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Llama 3.1 8B Instruct and o4 Mini
BenchmarkLlama 3.1 8B Instructo4 MiniLeader
AA Intelligence Index6.916.7o4 Mini
Epoch Capabilities Index116.5145.5o4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Llama 3.1 8B Instruct and o4 Mini
BenchmarkLlama 3.1 8B Instructo4 MiniLeader
τ²-Bench Telecom16.4%55.6%o4 Mini
METR time horizonsNot measured63.9%Only o4 Mini measured
BALROG15.1%Not measuredOnly Llama 3.1 8B Instruct measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Llama 3.1 8B Instruct and o4 Mini
BenchmarkLlama 3.1 8B Instructo4 MiniLeader
GPQA DiamondNot measured74.5%Only o4 Mini measured
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)25.9%78.4%o4 Mini
Humanity's Last Exam (Artificial Analysis run)5.3%16.5%o4 Mini
GPQA Diamond (Epoch AI run)27.0%79.6%o4 Mini
ARC-AGINot measured58.7%Only o4 Mini measured
ARC-AGI-2Not measured6.1%Only o4 Mini measured
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts11751351o4 Mini
LMArena Text: expert11441343o4 Mini
LMArena Text: hard prompts in English11961366o4 Mini
LMArena Vision: diagramsNot measured1197Only o4 Mini measured
LMArena Vision: homeworkNot measured1234Only o4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for Llama 3.1 8B Instruct and o4 Mini
BenchmarkLlama 3.1 8B Instructo4 MiniLeader
AIMENot measured83.7%Only o4 Mini measured
MATH 500 (Vals AI)Not measured94.2%Only o4 Mini measured
MGSM (Vals AI)Not measured93.4%Only o4 Mini measured
AA Math Index4.390.7o4 Mini
AIME 2025 (Artificial Analysis run)4.3%90.7%o4 Mini
OTIS Mock AIME1.7%81.7%o4 Mini
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
MATH level 522.9%97.8%o4 Mini
GSM8K82.4%Not measuredOnly Llama 3.1 8B Instruct measured
LMArena Text: math11791389o4 Mini
LMArena Text: mathematical work11801379o4 Mini
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Llama 3.1 8B Instruct and o4 Mini
BenchmarkLlama 3.1 8B Instructo4 MiniLeader
MMLU ProNot measured80.6%Only o4 Mini measured
LegalBench (Vals AI)Not measured79.2%Only o4 Mini measured
CorpFin (Vals AI)Not measured59.0%Only o4 Mini measured
TaxEval (Vals AI)Not measured74.8%Only o4 Mini measured
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)Not measured96.0%Only o4 Mini measured
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)47.6%83.2%o4 Mini
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
MMLU56.1%Not measuredOnly Llama 3.1 8B Instruct measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science11931354o4 Mini
LMArena Text: medicine and healthcare11821361o4 Mini
LMArena Text: legal and government12061350o4 Mini
LMArena Text: business and finance11661325o4 Mini
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Llama 3.1 8B Instruct and o4 Mini
BenchmarkLlama 3.1 8B Instructo4 MiniLeader
Design Arena: websitesNot measured985Only o4 Mini measured
Design Arena: UI componentsNot measured983Only o4 Mini measured
Design Arena: game devNot measured1003Only o4 Mini measured
Design Arena: data vizNot measured990Only o4 Mini measured
Design Arena: 3DNot measured854Only o4 Mini measured
Design Arena: all code categoriesNot measured976Only o4 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for Llama 3.1 8B Instruct and o4 Mini
BenchmarkLlama 3.1 8B Instructo4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBench28.6%68.7%o4 Mini
Long context reasoning (AA-LCR)18.0%61.0%o4 Mini
DTBench50.9%77.6%o4 Mini
LMCA5.4%26.5%o4 Mini
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
PIQA81.2%Not measuredOnly Llama 3.1 8B Instruct measured
LMArena Text11871353o4 Mini
LMArena Text: instruction following11591320o4 Mini
LMArena Text: creative writing11541294o4 Mini
LMArena VisionNot measured1194Only o4 Mini measured
LMArena Text: English12181367o4 Mini
LMArena Text: non-English11481337o4 Mini
LMArena Text: Chinese11511354o4 Mini
LMArena Text: German11441336o4 Mini
LMArena Text: Japanese10611308o4 Mini
LMArena Text: Korean10531312o4 Mini
LMArena Text: French11781364o4 Mini
LMArena Text: Spanish11691346o4 Mini
LMArena Text: Russian11581334o4 Mini
LMArena Text: PolishNot measured1358Only o4 Mini measured
LMArena Text: multi-turn11721350o4 Mini
LMArena Text: longer queries11811315o4 Mini
LMArena Text: writing and language11621316o4 Mini
LMArena Text: entertainment and media11451308o4 Mini
LMArena Vision: EnglishNot measured1200Only o4 Mini measured
LMArena Vision: ChineseNot measured1218Only o4 Mini measured
LMArena Vision: reading textNot measured1197Only o4 Mini measured
LMArena Vision: humorNot measured1199Only o4 Mini measured
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writingNot measured1166Only o4 Mini measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Llama 3.1 8B Instruct and o4 Mini
BenchmarkLlama 3.1 8B Instructo4 MiniLeader
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 3.1 8B Instruct$0.0001Fits in one request
o4 Mini$0.0033Fits in one request

Llama 3.1 8B Instruct costs less

Repository review

50K input + 3K output tokens

Llama 3.1 8B Instruct$0.0027Fits in one request
o4 Mini$0.068Fits in one request

Llama 3.1 8B Instruct costs less

Agent loop

200K input + 10K output tokens

Llama 3.1 8B Instruct$0.011Exceeds the context window
o4 Mini$0.264Exceeds the context window

Llama 3.1 8B 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 3.1 8B Instruct and o4 Mini
SpecificationMeta Llama 3.1 8B InstructOpenAI o4 Mini
MakerMeta LlamaOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJuly 23, 2024April 16, 2025
Context window131K200K
Input $/Mtok$0.05$1.10
Output $/Mtok$0.08$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 3.1 8B Instruct better than o4 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Llama 3.1 8B Instruct has the edge where output tokens cost 55.0x less, and where what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Llama 3.1 8B Instruct or o4 Mini?

Llama 3.1 8B Instruct costs $0.05 per million input tokens and $0.08 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Llama 3.1 8B Instruct or o4 Mini?

o4 Mini, with 200K tokens against 131K.

How many benchmarks is the Llama 3.1 8B Instruct vs o4 Mini comparison based on?

45 benchmarks have a result for both models as of October 21, 2026. Llama 3.1 8B Instruct's coding index rests on 0 independent benchmarks and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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