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GPT-4.1 vs gpt-oss-120b

GPT-4.1 leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 12.7 to 11.6, and gpt-oss-120b costs 16.0x less per output token ($0.50 vs $8.00 per million). Updated October 21, 2026; 70 benchmarks have a result for both.

Replace GPT-4.1 Replace gpt-oss-120b
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
39
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
31
vs boards won of 70 shared

GPT-4.1 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 for a lower cost per solved task ($0.37 against $0.51) and a larger context window (1.05M against 131K tokens).

Model AGPT-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
70
GPT-4.1 only
22
gpt-oss-120b only
11
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 not benchmarked, gpt-oss-120b not benchmarked.
Widest category
Math, 30.1 points apart on average over 8 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): GPT-4.1 34.7% against gpt-oss-120b 93.4%, 58.8 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against gpt-oss-120b $0.50 per million output tokens, 16.0x apart.
Context window
GPT-4.1 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-4.1Barsgpt-oss-120bTies
Coding46
Intelligence11
Agentic work02
Reasoning45
Math08
Knowledge83
Web design51
General175
All shared boards3931
CodingLike-for-likeSix of these boards feed the Vibe Coding Index46
Coding benchmarks for GPT-4.1 and gpt-oss-120b
BenchmarkGPT-4.1gpt-oss-120bLeader
Aider polyglot52.4%41.8%GPT-4.1
SWE-bench Verified39.6%26.0%GPT-4.1
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
AA Coding IndexNot measured30.4Only gpt-oss-120b measured
LiveCodeBench (Vals AI)54.7%83.2%gpt-oss-120b
SWE-bench Verified (Vals AI)Not measured33.6%Only gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)45.7%87.8%gpt-oss-120b
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)13.6%23.5%gpt-oss-120b
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdML39.0%48.2%gpt-oss-120b
ALE-Bench558.1575.6gpt-oss-120b
LMArena Text: coding13901379GPT-4.1
LMArena Text: software and IT13911387GPT-4.1
SciCode4.6%7.7%gpt-oss-120b
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-4.1 and gpt-oss-120b
BenchmarkGPT-4.1gpt-oss-120bLeader
AA Intelligence Index12.711.6GPT-4.1
Epoch Capabilities Index136.7139.8gpt-oss-120b
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for GPT-4.1 and gpt-oss-120b
BenchmarkGPT-4.1gpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
τ²-Bench Telecom47.1%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)54.0%Not measuredOnly GPT-4.1 measured
BrowseComp-Plus36.4%67.0%gpt-oss-120b
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index45
Reasoning benchmarks for GPT-4.1 and gpt-oss-120b
BenchmarkGPT-4.1gpt-oss-120bLeader
GPQA Diamond65.4%78.5%gpt-oss-120b
MMMU Pro (Vals AI)72.4%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)66.6%78.2%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)4.2%19.6%gpt-oss-120b
GPQA Diamond (Epoch AI run)66.9%75.8%gpt-oss-120b
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%22.1%GPT-4.1
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
Mystery game puzzlesNot measured2.0%Only gpt-oss-120b measured
LMArena Text: hard prompts13841364GPT-4.1
LMArena Text: expert13641356GPT-4.1
LMArena Text: hard prompts in English13931368GPT-4.1
LMArena Vision: diagrams1215Not measuredOnly GPT-4.1 measured
LMArena Vision: homework1248Not measuredOnly GPT-4.1 measured
Kagi LLM Benchmark52.3%58.6%gpt-oss-120b
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index08
Math benchmarks for GPT-4.1 and gpt-oss-120b
BenchmarkGPT-4.1gpt-oss-120bLeader
AIME39.6%92.6%gpt-oss-120b
MATH 500 (Vals AI)87.2%94.8%gpt-oss-120b
MGSM (Vals AI)87.7%92.0%gpt-oss-120b
AA Math Index34.793.4gpt-oss-120b
AIME 2025 (Artificial Analysis run)34.7%93.4%gpt-oss-120b
OTIS Mock AIME38.3%88.9%gpt-oss-120b
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691389gpt-oss-120b
LMArena Text: mathematical work13601386gpt-oss-120b
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index83
Knowledge benchmarks for GPT-4.1 and gpt-oss-120b
BenchmarkGPT-4.1gpt-oss-120bLeader
MMLU Pro80.5%79.2%GPT-4.1
LegalBench (Vals AI)83.1%75.9%GPT-4.1
CaseLaw (Vals AI)69.9%48.8%GPT-4.1
CorpFin (Vals AI)63.0%58.2%GPT-4.1
TaxEval (Vals AI)75.1%71.6%GPT-4.1
MortgageTax (Vals AI)65.9%Not measuredOnly GPT-4.1 measured
MedQA (Vals AI)91.2%91.4%gpt-oss-120b
MMLU Pro (Artificial Analysis run)80.6%80.8%gpt-oss-120b
SimpleQA Verified31.1%Not measuredOnly GPT-4.1 measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821382GPT-4.1
LMArena Text: medicine and healthcare13791388gpt-oss-120b
LMArena Text: legal and government13991355GPT-4.1
LMArena Text: business and finance13691359GPT-4.1
FACTS Benchmark Suite45.8%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index51
Web design benchmarks for GPT-4.1 and gpt-oss-120b
BenchmarkGPT-4.1gpt-oss-120bLeader
Design Arena: websites1039968GPT-4.1
Design Arena: UI components1000927GPT-4.1
Design Arena: game dev1080992GPT-4.1
Design Arena: data viz1104987GPT-4.1
Design Arena: 3D850901gpt-oss-120b
Design Arena: all code categories1026963GPT-4.1
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index175
General benchmarks for GPT-4.1 and gpt-oss-120b
BenchmarkGPT-4.1gpt-oss-120bLeader
IFBench43.0%69.0%gpt-oss-120b
Long context reasoning (AA-LCR)68.3%52.0%GPT-4.1
DTBench68.3%76.3%gpt-oss-120b
LMCA25.6%22.1%GPT-4.1
Fiction.LiveBench63.9%44.4%GPT-4.1
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
Surface Evolver BenchNot measured25.0%Only gpt-oss-120b measured
LMArena Text13831366GPT-4.1
LMArena Text: instruction following13671318GPT-4.1
LMArena Text: creative writing13631274GPT-4.1
LMArena Vision1210Not measuredOnly GPT-4.1 measured
LMArena Text: English13921375GPT-4.1
LMArena Text: non-English13701351GPT-4.1
LMArena Text: Chinese13821385gpt-oss-120b
LMArena Text: German13811353GPT-4.1
LMArena Text: Japanese13191331gpt-oss-120b
LMArena Text: Korean13381282GPT-4.1
LMArena Text: French13821370GPT-4.1
LMArena Text: Spanish13761389gpt-oss-120b
LMArena Text: Russian13771343GPT-4.1
LMArena Text: Polish13891353GPT-4.1
LMArena Text: multi-turn13971340GPT-4.1
LMArena Text: longer queries13851319GPT-4.1
LMArena Text: writing and language13711306GPT-4.1
LMArena Text: entertainment and media13651292GPT-4.1
LMArena Vision: English1209Not measuredOnly GPT-4.1 measured
LMArena Vision: Chinese1226Not measuredOnly GPT-4.1 measured
LMArena Vision: reading text1218Not measuredOnly GPT-4.1 measured
LMArena Vision: humor1196Not measuredOnly GPT-4.1 measured
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 and gpt-oss-120b
BenchmarkGPT-4.1gpt-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$0.0060Fits in one request
gpt-oss-120b$0.0003Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
gpt-oss-120b$0.0065Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
gpt-oss-120b$0.025Exceeds 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-4.1 and gpt-oss-120b
SpecificationOpenAI GPT-4.1OpenAI gpt-oss-120b
MakerOpenAIOpenAI
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025August 5, 2025
Context window1.05M131K
Input $/Mtok$2.00$0.10
Output $/Mtok$8.00$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved task$0.37$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 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 for a lower cost per solved task ($0.37 against $0.51) and a larger context window (1.05M against 131K tokens).

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

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Per solved SWE-bench Verified task, GPT-4.1 costs $0.37 and gpt-oss-120b $0.51.

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

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

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

70 benchmarks have a result for both models as of October 21, 2026. GPT-4.1'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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