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GPT-5.1-Codex-Mini vs Llama 4 Scout

GPT-5.1-Codex-Mini leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 20.4 to 6.5, and Llama 4 Scout costs 4.0x less per output token ($0.50 vs $2.00 per million). Updated October 22, 2026; 16 benchmarks have a result for both.

Replace GPT-5.1-Codex-Mini Replace Llama 4 Scout
GPT-5.1-Codex-MiniOpenAI
Coding
No data
Overall
No data
Output $/M
$2.00
16
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
vs boards won of 16 shared

GPT-5.1-Codex-Mini or Llama 4 Scout: which to pick

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

Compare them on price, context and the boards below.

Model AGPT-5.1-Codex-MiniOpenAINot benchmarked1 independent benchmarkNo cost per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
16
GPT-5.1-Codex-Mini only
6
Llama 4 Scout only
66
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
GPT-5.1-Codex-Mini not benchmarked, Llama 4 Scout not benchmarked.
Widest category
Math, 77.7 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: GPT-5.1-Codex-Mini 91.7 against Llama 4 Scout 14.0, 77.7 points apart on a 0 to 100 scale.
Output price
GPT-5.1-Codex-Mini $2.00 against Llama 4 Scout $0.50 per million output tokens, 4.0x apart.
Context window
GPT-5.1-Codex-Mini takes 400K tokens, Llama 4 Scout 1.31M.

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
CategoryGPT-5.1-Codex-MiniBarsLlama 4 ScoutTies
Coding20
Intelligence10
Agentic work10
Reasoning20
Math20
Knowledge10
Web design50
General20
All shared boards160
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GPT-5.1-Codex-Mini and Llama 4 Scout
BenchmarkGPT-5.1-Codex-MiniLlama 4 ScoutLeader
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
LMArena WebDev1244Not measuredOnly GPT-5.1-Codex-Mini measured
AA Coding IndexNot measured8.2Only Llama 4 Scout measured
LiveCodeBench (Vals AI)Not measured38.5%Only Llama 4 Scout measured
LiveCodeBench (Artificial Analysis run)83.6%29.9%GPT-5.1-Codex-Mini
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)33.3%1.5%GPT-5.1-Codex-Mini
Terminal-Bench61.6%Not measuredOnly GPT-5.1-Codex-Mini measured
LMArena Text: codingNot measured1286Only Llama 4 Scout measured
LMArena Text: software and ITNot measured1286Only Llama 4 Scout measured
LMArena WebDev: HTML1253Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.1-Codex-Mini and Llama 4 Scout
BenchmarkGPT-5.1-Codex-MiniLlama 4 ScoutLeader
AA Intelligence Index20.46.5GPT-5.1-Codex-Mini
Epoch Capabilities IndexNot measured129.6Only Llama 4 Scout measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.1-Codex-Mini and Llama 4 Scout
BenchmarkGPT-5.1-Codex-MiniLlama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
τ²-Bench Telecom62.9%15.5%GPT-5.1-Codex-Mini
Berkeley Function Calling Leaderboard (BFCL)Not measured28.1%Only Llama 4 Scout measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for GPT-5.1-Codex-Mini and Llama 4 Scout
BenchmarkGPT-5.1-Codex-MiniLlama 4 ScoutLeader
GPQA DiamondNot measured47.0%Only Llama 4 Scout measured
MMMU Pro (Vals AI)Not measured58.8%Only Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)81.3%58.7%GPT-5.1-Codex-Mini
Humanity's Last Exam (Artificial Analysis run)18.5%3.8%GPT-5.1-Codex-Mini
GPQA Diamond (Epoch AI run)Not measured51.8%Only Llama 4 Scout measured
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
LMArena Text: hard promptsNot measured1266Only Llama 4 Scout measured
LMArena Text: expertNot measured1235Only Llama 4 Scout measured
LMArena Text: hard prompts in EnglishNot measured1293Only Llama 4 Scout measured
LMArena Vision: diagramsNot measured1125Only Llama 4 Scout measured
LMArena Vision: homeworkNot measured1148Only Llama 4 Scout measured
Kagi LLM BenchmarkNot measured36.9%Only 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 index20
Math benchmarks for GPT-5.1-Codex-Mini and Llama 4 Scout
BenchmarkGPT-5.1-Codex-MiniLlama 4 ScoutLeader
AIMENot measured19.0%Only Llama 4 Scout measured
MATH 500 (Vals AI)Not measured79.2%Only Llama 4 Scout measured
MGSM (Vals AI)Not measured88.0%Only Llama 4 Scout measured
AA Math Index91.714.0GPT-5.1-Codex-Mini
AIME 2025 (Artificial Analysis run)91.7%14.0%GPT-5.1-Codex-Mini
OTIS Mock AIMENot measured7.8%Only Llama 4 Scout measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: mathNot measured1287Only Llama 4 Scout measured
LMArena Text: mathematical workNot measured1286Only Llama 4 Scout measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for GPT-5.1-Codex-Mini and Llama 4 Scout
BenchmarkGPT-5.1-Codex-MiniLlama 4 ScoutLeader
MMLU ProNot measured69.6%Only Llama 4 Scout measured
LegalBench (Vals AI)Not measured72.0%Only Llama 4 Scout measured
CorpFin (Vals AI)Not measured46.8%Only Llama 4 Scout measured
TaxEval (Vals AI)Not measured55.2%Only Llama 4 Scout measured
MortgageTax (Vals AI)Not measured57.8%Only Llama 4 Scout measured
MedQA (Vals AI)Not measured50.9%Only Llama 4 Scout measured
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)82.0%75.2%GPT-5.1-Codex-Mini
LMArena Text: scienceNot measured1278Only Llama 4 Scout measured
LMArena Text: medicine and healthcareNot measured1275Only Llama 4 Scout measured
LMArena Text: legal and governmentNot measured1285Only Llama 4 Scout measured
LMArena Text: business and financeNot measured1257Only Llama 4 Scout measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GPT-5.1-Codex-Mini and Llama 4 Scout
BenchmarkGPT-5.1-Codex-MiniLlama 4 ScoutLeader
Design Arena: websites1111750GPT-5.1-Codex-Mini
Design Arena: UI components1078765GPT-5.1-Codex-Mini
Design Arena: game dev1092772GPT-5.1-Codex-Mini
Design Arena: data viz1097896GPT-5.1-Codex-Mini
Design Arena: 3D988Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: all code categories1093789GPT-5.1-Codex-Mini
Design Arena: SVG978Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: ASCII art1105Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for GPT-5.1-Codex-Mini and Llama 4 Scout
BenchmarkGPT-5.1-Codex-MiniLlama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench67.9%39.5%GPT-5.1-Codex-Mini
Long context reasoning (AA-LCR)66.7%27.7%GPT-5.1-Codex-Mini
DTBenchNot measured57.9%Only Llama 4 Scout measured
LMCANot measured12.0%Only Llama 4 Scout measured
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
LMArena TextNot measured1279Only Llama 4 Scout measured
LMArena Text: instruction followingNot measured1248Only Llama 4 Scout measured
LMArena Text: creative writingNot measured1249Only Llama 4 Scout measured
LMArena VisionNot measured1118Only Llama 4 Scout measured
LMArena Text: EnglishNot measured1304Only Llama 4 Scout measured
LMArena Text: non-EnglishNot measured1252Only Llama 4 Scout measured
LMArena Text: ChineseNot measured1255Only Llama 4 Scout measured
LMArena Text: GermanNot measured1273Only Llama 4 Scout measured
LMArena Text: JapaneseNot measured1206Only Llama 4 Scout measured
LMArena Text: KoreanNot measured1207Only Llama 4 Scout measured
LMArena Text: FrenchNot measured1283Only Llama 4 Scout measured
LMArena Text: SpanishNot measured1278Only Llama 4 Scout measured
LMArena Text: RussianNot measured1263Only Llama 4 Scout measured
LMArena Text: PolishNot measured1265Only Llama 4 Scout measured
LMArena Text: multi-turnNot measured1280Only Llama 4 Scout measured
LMArena Text: longer queriesNot measured1265Only Llama 4 Scout measured
LMArena Text: writing and languageNot measured1269Only Llama 4 Scout measured
LMArena Text: entertainment and mediaNot measured1242Only Llama 4 Scout measured
LMArena Vision: EnglishNot measured1143Only Llama 4 Scout measured
LMArena Vision: ChineseNot measured1106Only Llama 4 Scout measured
LMArena Vision: reading textNot measured1117Only Llama 4 Scout measured
LMArena Vision: humorNot measured1102Only Llama 4 Scout measured
LMArena Vision: creative writingNot measured1126Only 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 GPT-5.1-Codex-Mini and Llama 4 Scout
BenchmarkGPT-5.1-Codex-MiniLlama 4 ScoutLeader
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

GPT-5.1-Codex-Mini$0.0013Fits in one request
Llama 4 Scout$0.0004Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

GPT-5.1-Codex-Mini$0.018Fits in one request
Llama 4 Scout$0.010Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

GPT-5.1-Codex-Mini$0.070Fits in one request
Llama 4 Scout$0.040Fits 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 GPT-5.1-Codex-Mini and Llama 4 Scout
SpecificationOpenAI GPT-5.1-Codex-MiniMeta Llama 4 Scout
MakerOpenAIMeta Llama
WeightsNo public weights listedOpen weights
ReleasedNovember 13, 2025April 5, 2025
Context window400K1.31M
Input $/Mtok$0.25$0.175
Output $/Mtok$2.00$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1-Codex-Mini better than Llama 4 Scout for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-5.1-Codex-Mini or Llama 4 Scout?

GPT-5.1-Codex-Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, GPT-5.1-Codex-Mini or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 400K.

How many benchmarks is the GPT-5.1-Codex-Mini vs Llama 4 Scout comparison based on?

16 benchmarks have a result for both models as of October 22, 2026. GPT-5.1-Codex-Mini's coding index rests on 1 independent benchmark and Llama 4 Scout's on 0. Where only one model has a result, the page says so instead of naming a winner.

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