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DeepSeek V3.2 Exp vs gpt-oss-120b

DeepSeek V3.2 Exp leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 16.6 to 11.6, and DeepSeek V3.2 Exp costs 1.2x less per output token ($0.41 vs $0.50 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace gpt-oss-120b
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
44
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
8
vs boards won of 52 shared

DeepSeek V3.2 Exp or gpt-oss-120b: which to pick

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

Pick DeepSeek V3.2 Exp for output tokens 1.2x cheaper ($0.41 vs $0.50 per million) and a larger context window (164K against 131K tokens).

Model ADeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
52
DeepSeek V3.2 Exp only
7
gpt-oss-120b only
29
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
DeepSeek V3.2 Exp not benchmarked, gpt-oss-120b not benchmarked.
Widest category
Agentic work, 31.9 points apart on average over 1 shared benchmark.
Widest single gap
Fiction.LiveBench: DeepSeek V3.2 Exp 83.3% against gpt-oss-120b 44.4%, 38.9 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against gpt-oss-120b $0.50 per million output tokens, 1.2x apart.
Context window
DeepSeek V3.2 Exp takes 164K 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
CategoryDeepSeek V3.2 ExpBarsgpt-oss-120bTies
Coding42
Intelligence20
Agentic work01
Reasoning42
Math22
Knowledge50
Web design60
General211
All shared boards448
CodingLike-for-likeSix of these boards feed the Vibe Coding Index42
Coding benchmarks for DeepSeek V3.2 Exp and gpt-oss-120b
BenchmarkDeepSeek V3.2 Expgpt-oss-120bLeader
Aider polyglot74.2%41.8%DeepSeek V3.2 Exp
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
LMArena WebDev1272Not measuredOnly DeepSeek V3.2 Exp measured
AA Coding IndexNot measured30.4Only gpt-oss-120b measured
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)78.9%87.8%gpt-oss-120b
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)31.1%23.5%DeepSeek V3.2 Exp
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdML39.5%48.2%gpt-oss-120b
ALE-BenchNot measured575.6Only gpt-oss-120b measured
LMArena Text: coding14381379DeepSeek V3.2 Exp
LMArena Text: software and IT14381387DeepSeek V3.2 Exp
LMArena WebDev: HTML1281Not measuredOnly DeepSeek V3.2 Exp measured
SciCodeNot measured7.7%Only gpt-oss-120b measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V3.2 Exp and gpt-oss-120b
BenchmarkDeepSeek V3.2 Expgpt-oss-120bLeader
AA Intelligence Index16.611.6DeepSeek V3.2 Exp
Epoch Capabilities Index144.9139.8DeepSeek V3.2 Exp
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3.2 Exp and gpt-oss-120b
BenchmarkDeepSeek V3.2 Expgpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
τ²-Bench Telecom33.9%65.8%gpt-oss-120b
APEX-AgentsNot measured4.4%Only gpt-oss-120b measured
METR time horizonsNot measured56.6%Only gpt-oss-120b measured
TheAgentCompany42.9%Not measuredOnly DeepSeek V3.2 Exp measured
Vending-Bench 2Not measured-$22Only gpt-oss-120b measured
Berkeley Function Calling Leaderboard (BFCL)56.7%Not measuredOnly DeepSeek V3.2 Exp measured
BrowseComp-PlusNot measured67.0%Only 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 index42
Reasoning benchmarks for DeepSeek V3.2 Exp and gpt-oss-120b
BenchmarkDeepSeek V3.2 Expgpt-oss-120bLeader
GPQA DiamondNot measured78.5%Only gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)79.7%78.2%DeepSeek V3.2 Exp
Humanity's Last Exam (Artificial Analysis run)14.9%19.6%gpt-oss-120b
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
LMArena Text: hard prompts14291364DeepSeek V3.2 Exp
LMArena Text: expert14221356DeepSeek V3.2 Exp
LMArena Text: hard prompts in English14441368DeepSeek V3.2 Exp
Kagi LLM Benchmark52.2%58.6%gpt-oss-120b
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for DeepSeek V3.2 Exp and gpt-oss-120b
BenchmarkDeepSeek V3.2 Expgpt-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 Index87.793.4gpt-oss-120b
AIME 2025 (Artificial Analysis run)87.7%93.4%gpt-oss-120b
OTIS Mock AIMENot measured88.9%Only gpt-oss-120b measured
LMArena Text: math14221389DeepSeek V3.2 Exp
LMArena Text: mathematical work14331386DeepSeek V3.2 Exp
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.2 Exp and gpt-oss-120b
BenchmarkDeepSeek V3.2 Expgpt-oss-120bLeader
MMLU ProNot measured79.2%Only gpt-oss-120b measured
LegalBench (Vals AI)Not measured75.9%Only gpt-oss-120b measured
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)Not measured91.4%Only gpt-oss-120b measured
MMLU Pro (Artificial Analysis run)85.0%80.8%DeepSeek V3.2 Exp
LMArena Text: science14431382DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681388DeepSeek V3.2 Exp
LMArena Text: legal and government14191355DeepSeek V3.2 Exp
LMArena Text: business and finance14121359DeepSeek V3.2 Exp
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for DeepSeek V3.2 Exp and gpt-oss-120b
BenchmarkDeepSeek V3.2 Expgpt-oss-120bLeader
Design Arena: websites1178967DeepSeek V3.2 Exp
Design Arena: UI components1164924DeepSeek V3.2 Exp
Design Arena: game dev1144992DeepSeek V3.2 Exp
Design Arena: data viz1152987DeepSeek V3.2 Exp
Design Arena: 3D1148901DeepSeek V3.2 Exp
Design Arena: all code categories1170962DeepSeek V3.2 Exp
Design Arena: SVG1031Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index211
General benchmarks for DeepSeek V3.2 Exp and gpt-oss-120b
BenchmarkDeepSeek V3.2 Expgpt-oss-120bLeader
IFBench54.1%69.0%gpt-oss-120b
Long context reasoning (AA-LCR)72.3%52.0%DeepSeek V3.2 Exp
DTBench87.7%76.3%DeepSeek V3.2 Exp
LMCA29.1%22.1%DeepSeek V3.2 Exp
Fiction.LiveBench83.3%44.4%DeepSeek V3.2 Exp
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
CL-bench13.2%Not measuredOnly DeepSeek V3.2 Exp measured
Surface Evolver BenchNot measured25.0%Only gpt-oss-120b measured
CL-bench Life9.5%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text14251366DeepSeek V3.2 Exp
LMArena Text: instruction following14011318DeepSeek V3.2 Exp
LMArena Text: creative writing14041274DeepSeek V3.2 Exp
LMArena Text: English14411375DeepSeek V3.2 Exp
LMArena Text: non-English14041351DeepSeek V3.2 Exp
LMArena Text: Chinese14611385DeepSeek V3.2 Exp
LMArena Text: German14401353DeepSeek V3.2 Exp
LMArena Text: Japanese13311331DeepSeek V3.2 Exp
LMArena Text: Korean13721282DeepSeek V3.2 Exp
LMArena Text: French14341370DeepSeek V3.2 Exp
LMArena Text: Spanish14411389DeepSeek V3.2 Exp
LMArena Text: Russian14121343DeepSeek V3.2 Exp
LMArena Text: Polish14351353DeepSeek V3.2 Exp
LMArena Text: multi-turn14221340DeepSeek V3.2 Exp
LMArena Text: longer queries14181319DeepSeek V3.2 Exp
LMArena Text: writing and language14071306DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071292DeepSeek V3.2 Exp
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 DeepSeek V3.2 Exp and gpt-oss-120b
BenchmarkDeepSeek V3.2 Expgpt-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

DeepSeek V3.2 Exp$0.0005Fits in one request
gpt-oss-120b$0.0003Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2 Exp$0.015Fits in one request
gpt-oss-120b$0.0065Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2 Exp$0.058Exceeds 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 DeepSeek V3.2 Exp and gpt-oss-120b
SpecificationDeepSeek V3.2 ExpOpenAI gpt-oss-120b
MakerDeepSeekOpenAI
WeightsOpen weightsOpen weights
ReleasedSeptember 29, 2025August 5, 2025
Context window164K131K
Input $/Mtok$0.27$0.10
Output $/Mtok$0.41$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 Exp better than gpt-oss-120b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.2 Exp for output tokens 1.2x cheaper ($0.41 vs $0.50 per million) and a larger context window (164K against 131K tokens).

Which is cheaper, DeepSeek V3.2 Exp or gpt-oss-120b?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 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, DeepSeek V3.2 Exp or gpt-oss-120b?

DeepSeek V3.2 Exp, with 164K tokens against 131K.

How many benchmarks is the DeepSeek V3.2 Exp vs gpt-oss-120b comparison based on?

52 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2 Exp's coding index rests on 1 independent benchmark 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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