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GPT-3.5 Turbo vs gpt-oss-120b

gpt-oss-120b leads GPT-3.5 Turbo on the Artificial Analysis Intelligence Index, 11.6 to 5.5, and gpt-oss-120b costs 3.0x less per output token ($0.50 vs $1.50 per million). Updated October 22, 2026; 10 benchmarks have a result for both.

Replace GPT-3.5 Turbo Replace gpt-oss-120b
GPT-3.5 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$1.50
0
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
10
vs boards won of 10 shared

GPT-3.5 Turbo or gpt-oss-120b: which to pick

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

Pick GPT-3.5 Turbo for work measured by AA Coding Index or SciCode, where it leads.

Model AGPT-3.5 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
10
GPT-3.5 Turbo only
3
gpt-oss-120b only
75
Like-for-like categories
5 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-3.5 Turbo not benchmarked, gpt-oss-120b not benchmarked.
Widest category
Reasoning, 48.2 points apart on average over 2 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): GPT-3.5 Turbo 29.7% against gpt-oss-120b 78.2%, 48.5 points apart on a 0 to 100 scale.
Output price
GPT-3.5 Turbo $1.50 against gpt-oss-120b $0.50 per million output tokens, 3.0x apart.
Context window
GPT-3.5 Turbo takes 16K 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-3.5 TurboBarsgpt-oss-120bTies
Coding02
Intelligence01
Reasoning02
Knowledge03
General02
All shared boards010
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-3.5 Turbo and gpt-oss-120b
BenchmarkGPT-3.5 Turbogpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
AA Coding Index10.730.4gpt-oss-120b
LiveCodeBench (Vals AI)Not measured83.2%Only gpt-oss-120b measured
SWE-bench Verified (Vals AI)Not measured33.6%Only gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)Not measured87.8%Only gpt-oss-120b measured
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)Not measured23.5%Only gpt-oss-120b measured
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdMLNot measured48.2%Only gpt-oss-120b measured
ALE-BenchNot measured575.6Only gpt-oss-120b measured
LMArena Text: codingNot measured1379Only gpt-oss-120b measured
LMArena Text: software and ITNot measured1387Only gpt-oss-120b measured
SciCode0.0%7.7%gpt-oss-120b
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-3.5 Turbo and gpt-oss-120b
BenchmarkGPT-3.5 Turbogpt-oss-120bLeader
AA Intelligence Index5.511.6gpt-oss-120b
Epoch Capabilities IndexNot measured139.8Only gpt-oss-120b measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for GPT-3.5 Turbo and gpt-oss-120b
BenchmarkGPT-3.5 Turbogpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
τ²-Bench TelecomNot measured65.8%Only gpt-oss-120b measured
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
BrowseComp-PlusNot measured67.0%Only gpt-oss-120b measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for GPT-3.5 Turbo and gpt-oss-120b
BenchmarkGPT-3.5 Turbogpt-oss-120bLeader
GPQA Diamond30.6%78.5%gpt-oss-120b
GPQA Diamond (Artificial Analysis run)29.7%78.2%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)Not measured19.6%Only gpt-oss-120b measured
GPQA Diamond (Epoch AI run)Not measured75.8%Only gpt-oss-120b measured
SimpleBenchNot measured22.1%Only gpt-oss-120b measured
Mystery game puzzlesNot measured2.0%Only gpt-oss-120b measured
BIG-Bench Hard61.6%Not measuredOnly GPT-3.5 Turbo measured
LMArena Text: hard promptsNot measured1364Only gpt-oss-120b measured
LMArena Text: expertNot measured1356Only gpt-oss-120b measured
LMArena Text: hard prompts in EnglishNot measured1368Only gpt-oss-120b measured
Kagi LLM BenchmarkNot measured58.6%Only gpt-oss-120b measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Math benchmarks for GPT-3.5 Turbo and gpt-oss-120b
BenchmarkGPT-3.5 Turbogpt-oss-120bLeader
AIMENot measured92.6%Only gpt-oss-120b measured
MATH 500 (Vals AI)Not measured94.8%Only gpt-oss-120b measured
MGSM (Vals AI)Not measured92.0%Only gpt-oss-120b measured
AA Math IndexNot measured93.4Only gpt-oss-120b measured
AIME 2025 (Artificial Analysis run)Not measured93.4%Only gpt-oss-120b measured
OTIS Mock AIMENot measured88.9%Only gpt-oss-120b measured
GSM8K57.8%Not measuredOnly GPT-3.5 Turbo measured
LMArena Text: mathNot measured1389Only gpt-oss-120b measured
LMArena Text: mathematical workNot measured1386Only gpt-oss-120b measured
MathArenaNot measured15.1%Only 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 index03
Knowledge benchmarks for GPT-3.5 Turbo and gpt-oss-120b
BenchmarkGPT-3.5 Turbogpt-oss-120bLeader
MMLU ProNot measured79.2%Only gpt-oss-120b measured
LegalBench (Vals AI)64.4%75.9%gpt-oss-120b
CaseLaw (Vals AI)Not measured48.8%Only gpt-oss-120b measured
CorpFin (Vals AI)Not measured58.2%Only gpt-oss-120b measured
TaxEval (Vals AI)Not measured71.6%Only gpt-oss-120b measured
MedQA (Vals AI)58.5%91.4%gpt-oss-120b
MMLU Pro (Artificial Analysis run)46.2%80.8%gpt-oss-120b
MMLU68.5%Not measuredOnly GPT-3.5 Turbo measured
LMArena Text: scienceNot measured1382Only gpt-oss-120b measured
LMArena Text: medicine and healthcareNot measured1388Only gpt-oss-120b measured
LMArena Text: legal and governmentNot measured1355Only gpt-oss-120b measured
LMArena Text: business and financeNot measured1359Only gpt-oss-120b measured
PRBench FinanceNot measured43.8%Only gpt-oss-120b measured
PRBench LegalNot measured40.2%Only gpt-oss-120b measured
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-3.5 Turbo and gpt-oss-120b
BenchmarkGPT-3.5 Turbogpt-oss-120bLeader
Design Arena: websitesNot measured968Only gpt-oss-120b measured
Design Arena: UI componentsNot measured924Only gpt-oss-120b measured
Design Arena: game devNot measured991Only gpt-oss-120b measured
Design Arena: data vizNot measured987Only gpt-oss-120b measured
Design Arena: 3DNot measured901Only gpt-oss-120b measured
Design Arena: all code categoriesNot measured962Only 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 index02
General benchmarks for GPT-3.5 Turbo and gpt-oss-120b
BenchmarkGPT-3.5 Turbogpt-oss-120bLeader
IFBenchNot measured69.0%Only gpt-oss-120b measured
Long context reasoning (AA-LCR)Not measured52.0%Only gpt-oss-120b measured
DTBench48.5%76.3%gpt-oss-120b
LMCA9.7%22.1%gpt-oss-120b
Fiction.LiveBenchNot measured44.4%Only gpt-oss-120b measured
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
Surface Evolver BenchNot measured25.0%Only gpt-oss-120b measured
LMArena TextNot measured1366Only gpt-oss-120b measured
LMArena Text: instruction followingNot measured1318Only gpt-oss-120b measured
LMArena Text: creative writingNot measured1274Only gpt-oss-120b measured
LMArena Text: EnglishNot measured1375Only gpt-oss-120b measured
LMArena Text: non-EnglishNot measured1351Only gpt-oss-120b measured
LMArena Text: ChineseNot measured1385Only gpt-oss-120b measured
LMArena Text: GermanNot measured1353Only gpt-oss-120b measured
LMArena Text: JapaneseNot measured1331Only gpt-oss-120b measured
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: RussianNot measured1343Only gpt-oss-120b measured
LMArena Text: PolishNot measured1353Only gpt-oss-120b measured
LMArena Text: multi-turnNot measured1340Only gpt-oss-120b measured
LMArena Text: longer queriesNot measured1319Only gpt-oss-120b measured
LMArena Text: writing and languageNot measured1306Only gpt-oss-120b measured
LMArena Text: entertainment and mediaNot measured1292Only gpt-oss-120b measured
MultiChallengeNot measured45.3%Only gpt-oss-120b measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-3.5 Turbo and gpt-oss-120b
BenchmarkGPT-3.5 Turbogpt-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-3.5 Turbo$0.0013Fits in one request
gpt-oss-120b$0.0003Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

GPT-3.5 Turbo$0.029Exceeds the context window
gpt-oss-120b$0.0065Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

GPT-3.5 Turbo$0.115Exceeds the context window
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-3.5 Turbo and gpt-oss-120b
SpecificationOpenAI GPT-3.5 TurboOpenAI gpt-oss-120b
MakerOpenAIOpenAI
WeightsNo public weights listedOpen weights
ReleasedMay 28, 2023August 5, 2025
Context window16K131K
Input $/Mtok$0.50$0.10
Output $/Mtok$1.50$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-3.5 Turbo better than gpt-oss-120b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-3.5 Turbo for work measured by AA Coding Index or SciCode, where it leads.

Which is cheaper, GPT-3.5 Turbo or gpt-oss-120b?

GPT-3.5 Turbo costs $0.50 per million input tokens and $1.50 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-3.5 Turbo or gpt-oss-120b?

gpt-oss-120b, with 131K tokens against 16K.

How many benchmarks is the GPT-3.5 Turbo vs gpt-oss-120b comparison based on?

10 benchmarks have a result for both models as of October 22, 2026. GPT-3.5 Turbo'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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