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gpt-oss-120b vs Llama 3.3 70B Instruct

gpt-oss-120b leads Llama 3.3 70B Instruct on the Artificial Analysis Intelligence Index, 11.6 to 7.7, and gpt-oss-120b costs 1.4x less per output token ($0.50 vs $0.72 per million). Updated October 21, 2026; 48 benchmarks have a result for both.

Replace gpt-oss-120b Replace Llama 3.3 70B Instruct
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
48
Llama 3.3 70B InstructMeta Llama
Coding
No data
Overall
26.0
Output $/M
$0.72
0
vs boards won of 48 shared

gpt-oss-120b or Llama 3.3 70B Instruct: which to pick

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

Pick gpt-oss-120b for output tokens 1.4x cheaper ($0.50 vs $0.72 per million).

Model Agpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved taskModel BLlama 3.3 70B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
48
gpt-oss-120b only
33
Llama 3.3 70B Instruct only
4
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
gpt-oss-120b not benchmarked, Llama 3.3 70B Instruct not benchmarked.
Widest category
Math, 59.1 points apart on average over 5 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): gpt-oss-120b 93.4% against Llama 3.3 70B Instruct 7.7%, 85.8 points apart on a 0 to 100 scale.
Output price
gpt-oss-120b $0.50 against Llama 3.3 70B Instruct $0.72 per million output tokens, 1.4x apart.
Context window
Both take 131K tokens.

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 3.3 70B InstructTies
Coding60
Intelligence20
Agentic work10
Reasoning70
Math50
Knowledge50
General220
All shared boards480
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for gpt-oss-120b and Llama 3.3 70B Instruct
Benchmarkgpt-oss-120bLlama 3.3 70B InstructLeader
Aider polyglot41.8%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified26.0%Not measuredOnly gpt-oss-120b measured
AA Coding Index30.411.9gpt-oss-120b
LiveCodeBench (Vals AI)83.2%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified (Vals AI)33.6%Not measuredOnly gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)87.8%28.8%gpt-oss-120b
SciCode34.0%Not measuredOnly gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)23.5%3.0%gpt-oss-120b
Terminal-Bench18.7%Not measuredOnly gpt-oss-120b measured
WeirdML48.2%14.4%gpt-oss-120b
ALE-Bench575.6Not measuredOnly gpt-oss-120b measured
LMArena Text: coding13791268gpt-oss-120b
LMArena Text: software and IT13871273gpt-oss-120b
SciCode7.7%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for gpt-oss-120b and Llama 3.3 70B Instruct
Benchmarkgpt-oss-120bLlama 3.3 70B InstructLeader
AA Intelligence Index11.67.7gpt-oss-120b
Epoch Capabilities Index139.8127.3gpt-oss-120b
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for gpt-oss-120b and Llama 3.3 70B Instruct
Benchmarkgpt-oss-120bLlama 3.3 70B InstructLeader
AA Agentic Index3.7Not measuredOnly gpt-oss-120b measured
τ²-Bench Telecom65.8%26.6%gpt-oss-120b
APEX-Agents4.4%Not measuredOnly gpt-oss-120b measured
METR time horizons56.6%Not measuredOnly gpt-oss-120b measured
BALROGNot measured23.0%Only Llama 3.3 70B Instruct measured
Vending-Bench 2-$22Not measuredOnly gpt-oss-120b measured
Berkeley Function Calling Leaderboard (BFCL)Not measured31.9%Only Llama 3.3 70B Instruct measured
BrowseComp-Plus67.0%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for gpt-oss-120b and Llama 3.3 70B Instruct
Benchmarkgpt-oss-120bLlama 3.3 70B InstructLeader
GPQA Diamond78.5%Not measuredOnly gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)78.2%49.8%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)19.6%3.6%gpt-oss-120b
GPQA Diamond (Epoch AI run)75.8%47.4%gpt-oss-120b
SimpleBench22.1%19.9%gpt-oss-120b
Mystery game puzzles2.0%Not measuredOnly gpt-oss-120b measured
LMArena Text: hard prompts13641257gpt-oss-120b
LMArena Text: expert13561225gpt-oss-120b
LMArena Text: hard prompts in English13681277gpt-oss-120b
Kagi LLM Benchmark58.6%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for gpt-oss-120b and Llama 3.3 70B Instruct
Benchmarkgpt-oss-120bLlama 3.3 70B InstructLeader
AIME92.6%Not measuredOnly gpt-oss-120b measured
MATH 500 (Vals AI)94.8%Not measuredOnly gpt-oss-120b measured
MGSM (Vals AI)92.0%Not measuredOnly gpt-oss-120b measured
AA Math Index93.47.7gpt-oss-120b
AIME 2025 (Artificial Analysis run)93.4%7.7%gpt-oss-120b
OTIS Mock AIME88.9%5.1%gpt-oss-120b
MATH level 5Not measured41.6%Only Llama 3.3 70B Instruct measured
LMArena Text: math13891267gpt-oss-120b
LMArena Text: mathematical work13861267gpt-oss-120b
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for gpt-oss-120b and Llama 3.3 70B Instruct
Benchmarkgpt-oss-120bLlama 3.3 70B InstructLeader
MMLU Pro79.2%Not measuredOnly gpt-oss-120b measured
LegalBench (Vals AI)75.9%Not measuredOnly gpt-oss-120b measured
CaseLaw (Vals AI)48.8%Not measuredOnly gpt-oss-120b measured
CorpFin (Vals AI)58.2%Not measuredOnly gpt-oss-120b measured
TaxEval (Vals AI)71.6%Not measuredOnly gpt-oss-120b measured
MedQA (Vals AI)91.4%Not measuredOnly gpt-oss-120b measured
MMLU Pro (Artificial Analysis run)80.8%71.3%gpt-oss-120b
MMLUNot measured86.3%Only Llama 3.3 70B Instruct measured
LMArena Text: science13821284gpt-oss-120b
LMArena Text: medicine and healthcare13881275gpt-oss-120b
LMArena Text: legal and government13551284gpt-oss-120b
LMArena Text: business and finance13591243gpt-oss-120b
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for gpt-oss-120b and Llama 3.3 70B Instruct
Benchmarkgpt-oss-120bLlama 3.3 70B InstructLeader
Design Arena: websites968Not measuredOnly gpt-oss-120b measured
Design Arena: UI components927Not measuredOnly gpt-oss-120b measured
Design Arena: game dev992Not measuredOnly gpt-oss-120b measured
Design Arena: data viz987Not measuredOnly gpt-oss-120b measured
Design Arena: 3D901Not measuredOnly gpt-oss-120b measured
Design Arena: all code categories963Not measuredOnly gpt-oss-120b measured
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 3.3 70B Instruct
Benchmarkgpt-oss-120bLlama 3.3 70B InstructLeader
IFBench69.0%47.1%gpt-oss-120b
Long context reasoning (AA-LCR)52.0%15.7%gpt-oss-120b
DTBench76.3%59.5%gpt-oss-120b
LMCA22.1%17.5%gpt-oss-120b
Fiction.LiveBench44.4%33.3%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 Text13661274gpt-oss-120b
LMArena Text: instruction following13181242gpt-oss-120b
LMArena Text: creative writing12741250gpt-oss-120b
LMArena Text: English13751303gpt-oss-120b
LMArena Text: non-English13511236gpt-oss-120b
LMArena Text: Chinese13851217gpt-oss-120b
LMArena Text: German13531251gpt-oss-120b
LMArena Text: Japanese13311150gpt-oss-120b
LMArena Text: Korean12821142gpt-oss-120b
LMArena Text: French13701282gpt-oss-120b
LMArena Text: Spanish13891269gpt-oss-120b
LMArena Text: Russian13431252gpt-oss-120b
LMArena Text: Polish13531259gpt-oss-120b
LMArena Text: multi-turn13401280gpt-oss-120b
LMArena Text: longer queries13191255gpt-oss-120b
LMArena Text: writing and language13061255gpt-oss-120b
LMArena Text: entertainment and media12921241gpt-oss-120b
Neither model has a result on the other 22 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 3.3 70B Instruct
Benchmarkgpt-oss-120bLlama 3.3 70B 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

gpt-oss-120b$0.0003Fits in one request
Llama 3.3 70B Instruct$0.0008Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

gpt-oss-120b$0.0065Fits in one request
Llama 3.3 70B Instruct$0.025Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-120b$0.025Exceeds the context window
Llama 3.3 70B Instruct$0.097Exceeds the context window

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 3.3 70B Instruct
SpecificationOpenAI gpt-oss-120bMeta Llama 3.3 70B Instruct
MakerOpenAIMeta Llama
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025December 6, 2024
Context window131K131K
Input $/Mtok$0.10$0.45
Output $/Mtok$0.50$0.72
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.51Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-120b better than Llama 3.3 70B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 1.4x cheaper ($0.50 vs $0.72 per million).

Which is cheaper, gpt-oss-120b or Llama 3.3 70B Instruct?

gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; Llama 3.3 70B Instruct costs $0.45 and $0.72. Cost per solved task is known for gpt-oss-120b only.

Which has the bigger context window, gpt-oss-120b or Llama 3.3 70B Instruct?

Neither: both take 131K tokens.

How many benchmarks is the gpt-oss-120b vs Llama 3.3 70B Instruct comparison based on?

48 benchmarks have a result for both models as of October 21, 2026. gpt-oss-120b's coding index rests on 1 independent benchmark and Llama 3.3 70B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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