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GPT-4.1 Nano vs gpt-oss-120b

gpt-oss-120b leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 11.6 to 7.8, and GPT-4.1 Nano costs 1.3x less per output token ($0.40 vs $0.50 per million). Updated October 22, 2026; 61 benchmarks have a result for both.

GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
2
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
58
vs boards won of 61 shared, 1 tied

GPT-4.1 Nano or gpt-oss-120b: which to pick

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

Pick GPT-4.1 Nano for output tokens 1.3x cheaper ($0.40 vs $0.50 per million) and a larger context window (1.05M against 131K tokens).

Shared results
61
GPT-4.1 Nano only
10
gpt-oss-120b only
20
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-4.1 Nano not benchmarked, gpt-oss-120b not benchmarked.
Widest category
Agentic work, 48.5 points apart on average over 1 shared benchmark.
Widest single gap
AIME 2025 (Artificial Analysis run): GPT-4.1 Nano 24.0% against gpt-oss-120b 93.4%, 69.4 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against gpt-oss-120b $0.50 per million output tokens, 1.3x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, gpt-oss-120b 131K.

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-4.1 NanoBarsgpt-oss-120bTies
Coding08
Intelligence02
Agentic work01
Reasoning08
Math08
Knowledge010
Web design231 tie
General018
All shared boards2581 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for GPT-4.1 Nano and gpt-oss-120b
BenchmarkGPT-4.1 Nanogpt-oss-120bLeader
Aider polyglot8.9%41.8%gpt-oss-120b
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
AA Coding Index11.130.4gpt-oss-120b
LiveCodeBench (Vals AI)42.7%83.2%gpt-oss-120b
SWE-bench Verified (Vals AI)Not measured33.6%Only gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)32.6%87.8%gpt-oss-120b
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)3.8%23.5%gpt-oss-120b
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdML19.0%48.2%gpt-oss-120b
ALE-BenchNot measured575.6Only gpt-oss-120b measured
LMArena Text: coding13061379gpt-oss-120b
LMArena Text: software and IT13051387gpt-oss-120b
SciCodeNot measured7.7%Only 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 index02
Intelligence benchmarks for GPT-4.1 Nano and gpt-oss-120b
BenchmarkGPT-4.1 Nanogpt-oss-120bLeader
AA Intelligence Index7.811.6gpt-oss-120b
Epoch Capabilities Index129.5139.8gpt-oss-120b
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Nano and gpt-oss-120b
BenchmarkGPT-4.1 Nanogpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
τ²-Bench Telecom17.3%65.8%gpt-oss-120b
APEX-AgentsNot measured4.4%Only gpt-oss-120b measured
METR time horizonsNot measured56.6%Only gpt-oss-120b measured
Vending-Bench 2Not measured-$22Only gpt-oss-120b measured
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
BrowseComp-PlusNot measured67.0%Only gpt-oss-120b measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for GPT-4.1 Nano and gpt-oss-120b
BenchmarkGPT-4.1 Nanogpt-oss-120bLeader
GPQA Diamond50.8%78.5%gpt-oss-120b
MMMU Pro (Vals AI)55.0%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)51.2%78.2%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)3.8%19.6%gpt-oss-120b
GPQA Diamond (Epoch AI run)48.9%75.8%gpt-oss-120b
ARC-AGI0.0%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Nano measured
SimpleBenchNot measured22.1%Only gpt-oss-120b measured
Chess puzzles0.0%Not measuredOnly GPT-4.1 Nano measured
Mystery game puzzlesNot measured2.0%Only gpt-oss-120b measured
LMArena Text: hard prompts12861364gpt-oss-120b
LMArena Text: expert12711356gpt-oss-120b
LMArena Text: hard prompts in English12931368gpt-oss-120b
Kagi LLM Benchmark33.3%58.6%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 index08
Math benchmarks for GPT-4.1 Nano and gpt-oss-120b
BenchmarkGPT-4.1 Nanogpt-oss-120bLeader
AIME26.5%92.6%gpt-oss-120b
MATH 500 (Vals AI)80.2%94.8%gpt-oss-120b
MGSM (Vals AI)69.3%92.0%gpt-oss-120b
AA Math Index24.093.4gpt-oss-120b
AIME 2025 (Artificial Analysis run)24.0%93.4%gpt-oss-120b
OTIS Mock AIME28.9%88.9%gpt-oss-120b
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741389gpt-oss-120b
LMArena Text: mathematical work12741386gpt-oss-120b
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for GPT-4.1 Nano and gpt-oss-120b
BenchmarkGPT-4.1 Nanogpt-oss-120bLeader
MMLU Pro63.5%79.2%gpt-oss-120b
LegalBench (Vals AI)61.1%75.9%gpt-oss-120b
CaseLaw (Vals AI)Not measured48.8%Only gpt-oss-120b measured
CorpFin (Vals AI)42.1%58.2%gpt-oss-120b
TaxEval (Vals AI)60.8%71.6%gpt-oss-120b
MortgageTax (Vals AI)52.8%Not measuredOnly GPT-4.1 Nano measured
MedQA (Vals AI)68.2%91.4%gpt-oss-120b
MMLU Pro (Artificial Analysis run)65.7%80.8%gpt-oss-120b
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971382gpt-oss-120b
LMArena Text: medicine and healthcare12761388gpt-oss-120b
LMArena Text: legal and government13001355gpt-oss-120b
LMArena Text: business and finance12671359gpt-oss-120b
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index23
Web design benchmarks for GPT-4.1 Nano and gpt-oss-120b
BenchmarkGPT-4.1 Nanogpt-oss-120bLeader
Design Arena: websites972967GPT-4.1 Nano
Design Arena: UI components913924gpt-oss-120b
Design Arena: game dev970992gpt-oss-120b
Design Arena: data viz891987gpt-oss-120b
Design Arena: 3D924901GPT-4.1 Nano
Design Arena: all code categories962962Tie
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GPT-4.1 Nano and gpt-oss-120b
BenchmarkGPT-4.1 Nanogpt-oss-120bLeader
IFBench32.0%69.0%gpt-oss-120b
Long context reasoning (AA-LCR)20.3%52.0%gpt-oss-120b
DTBench52.5%76.3%gpt-oss-120b
LMCA5.5%22.1%gpt-oss-120b
Fiction.LiveBench25.0%44.4%gpt-oss-120b
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
Surface Evolver BenchNot measured25.0%Only gpt-oss-120b measured
LMArena Text12851366gpt-oss-120b
LMArena Text: instruction following12661318gpt-oss-120b
LMArena Text: creative writing12601274gpt-oss-120b
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031375gpt-oss-120b
LMArena Text: non-English12601351gpt-oss-120b
LMArena Text: Chinese12701385gpt-oss-120b
LMArena Text: German12881353gpt-oss-120b
LMArena Text: Japanese11981331gpt-oss-120b
LMArena Text: KoreanNot measured1282Only gpt-oss-120b measured
LMArena Text: FrenchNot measured1370Only gpt-oss-120b measured
LMArena Text: SpanishNot measured1389Only gpt-oss-120b measured
LMArena Text: Russian12611343gpt-oss-120b
LMArena Text: PolishNot measured1353Only gpt-oss-120b measured
LMArena Text: multi-turn12771340gpt-oss-120b
LMArena Text: longer queries12831319gpt-oss-120b
LMArena Text: writing and language12611306gpt-oss-120b
LMArena Text: entertainment and media12431292gpt-oss-120b
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Nano and gpt-oss-120b
BenchmarkGPT-4.1 Nanogpt-oss-120bLeader
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-4.1 Nano$0.0003Fits in one request
gpt-oss-120b$0.0003Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Nano$0.0062Fits in one request
gpt-oss-120b$0.0065Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Nano$0.024Fits in one request
gpt-oss-120b$0.025Exceeds the context window

GPT-4.1 Nano 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-4.1 Nano and gpt-oss-120b
SpecificationOpenAI GPT-4.1 NanoOpenAI gpt-oss-120b
MakerOpenAIOpenAI
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025August 5, 2025
Context window1.05M131K
Input $/Mtok$0.10$0.10
Output $/Mtok$0.40$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than gpt-oss-120b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for output tokens 1.3x cheaper ($0.40 vs $0.50 per million) and a larger context window (1.05M against 131K tokens).

Which is cheaper, GPT-4.1 Nano or gpt-oss-120b?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Cost per solved task is known for gpt-oss-120b only.

Which has the bigger context window, GPT-4.1 Nano or gpt-oss-120b?

GPT-4.1 Nano, with 1.05M tokens against 131K.

How many benchmarks is the GPT-4.1 Nano vs gpt-oss-120b comparison based on?

61 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Nano's coding index rests on 0 independent benchmarks and gpt-oss-120b's on 1. Where only one model has a result, the page says so instead of naming a winner.

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