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gpt-oss-120b vs Llama 4 Scout

gpt-oss-120b leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 11.6 to 6.5, at about the same output price ($0.50 vs $0.50 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace gpt-oss-120b Replace Llama 4 Scout
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
65
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
vs boards won of 65 shared

gpt-oss-120b or Llama 4 Scout: which to pick

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

Pick gpt-oss-120b for a lower cost per solved task ($0.51 against $1.276).

Model Agpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
65
gpt-oss-120b only
20
Llama 4 Scout only
17
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-oss-120b not benchmarked, Llama 4 Scout not benchmarked.
Widest category
Math, 45.9 points apart on average over 8 shared benchmarks.
Widest single gap
OTIS Mock AIME: gpt-oss-120b 88.9% against Llama 4 Scout 7.8%, 81.1 points apart on a 0 to 100 scale.
Output price
Both cost $0.50 per million output tokens.
Context window
gpt-oss-120b takes 131K 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-oss-120bBarsLlama 4 ScoutTies
Coding80
Intelligence20
Agentic work20
Reasoning80
Math80
Knowledge100
Web design50
General220
All shared boards650
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for gpt-oss-120b and Llama 4 Scout
Benchmarkgpt-oss-120bLlama 4 ScoutLeader
Aider polyglot41.8%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified26.0%9.1%gpt-oss-120b
AA Coding Index30.48.2gpt-oss-120b
LiveCodeBench (Vals AI)83.2%38.5%gpt-oss-120b
SWE-bench Verified (Vals AI)33.6%Not measuredOnly gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)87.8%29.9%gpt-oss-120b
SciCode34.0%21.3%gpt-oss-120b
Terminal-Bench Hard (Artificial Analysis run)23.5%1.5%gpt-oss-120b
Terminal-Bench18.7%Not measuredOnly gpt-oss-120b measured
WeirdML48.2%Not measuredOnly gpt-oss-120b measured
ALE-Bench575.6Not measuredOnly gpt-oss-120b measured
LMArena Text: coding13791286gpt-oss-120b
LMArena Text: software and IT13871286gpt-oss-120b
SciCode7.7%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for gpt-oss-120b and Llama 4 Scout
Benchmarkgpt-oss-120bLlama 4 ScoutLeader
AA Intelligence Index11.66.5gpt-oss-120b
Epoch Capabilities Index139.8129.6gpt-oss-120b
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for gpt-oss-120b and Llama 4 Scout
Benchmarkgpt-oss-120bLlama 4 ScoutLeader
AA Agentic Index3.70.5gpt-oss-120b
τ²-Bench Telecom65.8%15.5%gpt-oss-120b
APEX-Agents4.4%Not measuredOnly gpt-oss-120b measured
METR time horizons56.6%Not measuredOnly gpt-oss-120b measured
Vending-Bench 2-$22Not measuredOnly gpt-oss-120b measured
Berkeley Function Calling Leaderboard (BFCL)Not measured28.1%Only Llama 4 Scout measured
BrowseComp-Plus67.0%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for gpt-oss-120b and Llama 4 Scout
Benchmarkgpt-oss-120bLlama 4 ScoutLeader
GPQA Diamond78.5%47.0%gpt-oss-120b
MMMU Pro (Vals AI)Not measured58.8%Only Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)78.2%58.7%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)19.6%3.8%gpt-oss-120b
GPQA Diamond (Epoch AI run)75.8%51.8%gpt-oss-120b
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
SimpleBench22.1%Not measuredOnly gpt-oss-120b measured
Mystery game puzzles2.0%Not measuredOnly gpt-oss-120b measured
LMArena Text: hard prompts13641266gpt-oss-120b
LMArena Text: expert13561235gpt-oss-120b
LMArena Text: hard prompts in English13681293gpt-oss-120b
LMArena Vision: diagramsNot measured1125Only Llama 4 Scout measured
LMArena Vision: homeworkNot measured1148Only Llama 4 Scout measured
Kagi LLM Benchmark58.6%36.9%gpt-oss-120b
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index80
Math benchmarks for gpt-oss-120b and Llama 4 Scout
Benchmarkgpt-oss-120bLlama 4 ScoutLeader
AIME92.6%19.0%gpt-oss-120b
MATH 500 (Vals AI)94.8%79.2%gpt-oss-120b
MGSM (Vals AI)92.0%88.0%gpt-oss-120b
AA Math Index93.414.0gpt-oss-120b
AIME 2025 (Artificial Analysis run)93.4%14.0%gpt-oss-120b
OTIS Mock AIME88.9%7.8%gpt-oss-120b
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math13891287gpt-oss-120b
LMArena Text: mathematical work13861286gpt-oss-120b
MathArena15.1%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for gpt-oss-120b and Llama 4 Scout
Benchmarkgpt-oss-120bLlama 4 ScoutLeader
MMLU Pro79.2%69.6%gpt-oss-120b
LegalBench (Vals AI)75.9%72.0%gpt-oss-120b
CaseLaw (Vals AI)48.8%Not measuredOnly gpt-oss-120b measured
CorpFin (Vals AI)58.2%46.8%gpt-oss-120b
TaxEval (Vals AI)71.6%55.2%gpt-oss-120b
MortgageTax (Vals AI)Not measured57.8%Only Llama 4 Scout measured
MedQA (Vals AI)91.4%50.9%gpt-oss-120b
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)80.8%75.2%gpt-oss-120b
LMArena Text: science13821278gpt-oss-120b
LMArena Text: medicine and healthcare13881275gpt-oss-120b
LMArena Text: legal and government13551285gpt-oss-120b
LMArena Text: business and finance13591257gpt-oss-120b
PRBench Finance43.8%Not measuredOnly gpt-oss-120b measured
PRBench Legal40.2%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for gpt-oss-120b and Llama 4 Scout
Benchmarkgpt-oss-120bLlama 4 ScoutLeader
Design Arena: websites968750gpt-oss-120b
Design Arena: UI components924765gpt-oss-120b
Design Arena: game dev991772gpt-oss-120b
Design Arena: data viz987896gpt-oss-120b
Design Arena: 3D901Not measuredOnly gpt-oss-120b measured
Design Arena: all code categories962789gpt-oss-120b
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
General benchmarks for gpt-oss-120b and Llama 4 Scout
Benchmarkgpt-oss-120bLlama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench69.0%39.5%gpt-oss-120b
Long context reasoning (AA-LCR)52.0%27.7%gpt-oss-120b
DTBench76.3%57.9%gpt-oss-120b
LMCA22.1%12.0%gpt-oss-120b
Fiction.LiveBench44.4%36.0%gpt-oss-120b
Creative writing (Lech Mazur)77.1%Not measuredOnly gpt-oss-120b measured
Surface Evolver Bench25.0%Not measuredOnly gpt-oss-120b measured
LMArena Text13661279gpt-oss-120b
LMArena Text: instruction following13181248gpt-oss-120b
LMArena Text: creative writing12741249gpt-oss-120b
LMArena VisionNot measured1118Only Llama 4 Scout measured
LMArena Text: English13751304gpt-oss-120b
LMArena Text: non-English13511252gpt-oss-120b
LMArena Text: Chinese13851255gpt-oss-120b
LMArena Text: German13531273gpt-oss-120b
LMArena Text: Japanese13311206gpt-oss-120b
LMArena Text: Korean12821207gpt-oss-120b
LMArena Text: French13701283gpt-oss-120b
LMArena Text: Spanish13891278gpt-oss-120b
LMArena Text: Russian13431263gpt-oss-120b
LMArena Text: Polish13531265gpt-oss-120b
LMArena Text: multi-turn13401280gpt-oss-120b
LMArena Text: longer queries13191265gpt-oss-120b
LMArena Text: writing and language13061269gpt-oss-120b
LMArena Text: entertainment and media12921242gpt-oss-120b
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
MultiChallenge45.3%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for gpt-oss-120b and Llama 4 Scout
Benchmarkgpt-oss-120bLlama 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-oss-120b$0.0003Fits in one request
Llama 4 Scout$0.0004Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

gpt-oss-120b$0.0065Fits in one request
Llama 4 Scout$0.010Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-120b$0.025Exceeds the context window
Llama 4 Scout$0.040Fits in one request

gpt-oss-120b 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-oss-120b and Llama 4 Scout
SpecificationOpenAI gpt-oss-120bMeta Llama 4 Scout
MakerOpenAIMeta Llama
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025April 5, 2025
Context window131K1.31M
Input $/Mtok$0.10$0.175
Output $/Mtok$0.50$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.51$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-120b better than Llama 4 Scout for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick gpt-oss-120b for a lower cost per solved task ($0.51 against $1.276).

Which is cheaper, gpt-oss-120b or Llama 4 Scout?

gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Per solved SWE-bench Verified task, gpt-oss-120b costs $0.51 and Llama 4 Scout $1.276.

Which has the bigger context window, gpt-oss-120b or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 131K.

How many benchmarks is the gpt-oss-120b vs Llama 4 Scout comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. gpt-oss-120b'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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