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R1 0528 vs gpt-oss-20b

R1 0528 leads gpt-oss-20b on the Artificial Analysis Intelligence Index, 13.1 to 10.0, and gpt-oss-20b costs 14.5x less per output token ($0.15 vs $2.18 per million). Updated October 22, 2026; 45 benchmarks have a result for both.

Replace R1 0528 Replace gpt-oss-20b
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
39
gpt-oss-20bOpenAI
Coding
No data
Overall
38.5
Output $/M
$0.15
6
vs boards won of 45 shared

R1 0528 or gpt-oss-20b: which to pick

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

Pick R1 0528 for a larger context window (164K against 131K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bgpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
45
R1 0528 only
15
gpt-oss-20b only
17
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
R1 0528 not benchmarked, gpt-oss-20b not benchmarked.
Widest category
Web design, 34.1 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: websites: R1 0528 1149 against gpt-oss-20b 852, 37.1 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against gpt-oss-20b $0.15 per million output tokens, 14.5x apart.
Context window
R1 0528 takes 164K tokens, gpt-oss-20b 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
CategoryR1 0528Barsgpt-oss-20bTies
Coding51
Intelligence10
Agentic work02
Reasoning60
Math32
Knowledge50
Web design20
General171
All shared boards396
CodingLike-for-likeSix of these boards feed the Vibe Coding Index51
Coding benchmarks for R1 0528 and gpt-oss-20b
BenchmarkR1 0528gpt-oss-20bLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LiveCodeBench (Vals AI)Not measured80.4%Only gpt-oss-20b measured
LiveCodeBench (Artificial Analysis run)77.0%77.7%gpt-oss-20b
SciCodeNot measured38.9%Only gpt-oss-20b measured
Terminal-Bench Hard (Artificial Analysis run)15.9%10.6%R1 0528
Terminal-BenchNot measured3.4%Only gpt-oss-20b measured
WeirdML41.6%40.9%R1 0528
ALE-Bench804.1566.0R1 0528
LMArena Text: coding14271307R1 0528
LMArena Text: software and IT14351311R1 0528
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for R1 0528 and gpt-oss-20b
BenchmarkR1 0528gpt-oss-20bLeader
AA Intelligence Index13.110.0R1 0528
Epoch Capabilities IndexNot measured137.7Only gpt-oss-20b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for R1 0528 and gpt-oss-20b
BenchmarkR1 0528gpt-oss-20bLeader
τ²-Bench Telecom36.5%60.2%gpt-oss-20b
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
BrowseComp-Plus16.4%50.6%gpt-oss-20b
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for R1 0528 and gpt-oss-20b
BenchmarkR1 0528gpt-oss-20bLeader
GPQA DiamondNot measured68.9%Only gpt-oss-20b measured
GPQA Diamond (Artificial Analysis run)81.3%68.8%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%11.0%R1 0528
GPQA Diamond (Epoch AI run)76.3%60.8%R1 0528
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
LMArena Text: hard prompts14151274R1 0528
LMArena Text: expert13941258R1 0528
LMArena Text: hard prompts in English14221292R1 0528
Kagi LLM BenchmarkNot measured53.2%Only gpt-oss-20b measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for R1 0528 and gpt-oss-20b
BenchmarkR1 0528gpt-oss-20bLeader
AIMENot measured86.0%Only gpt-oss-20b measured
MATH 500 (Vals AI)Not measured94.2%Only gpt-oss-20b measured
MGSM (Vals AI)Not measured89.0%Only gpt-oss-20b measured
AA Math Index76.089.3gpt-oss-20b
AIME 2025 (Artificial Analysis run)76.0%89.3%gpt-oss-20b
OTIS Mock AIME66.4%65.3%R1 0528
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001317R1 0528
LMArena Text: mathematical work14151305R1 0528
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 R1 0528 and gpt-oss-20b
BenchmarkR1 0528gpt-oss-20bLeader
MMLU ProNot measured71.6%Only gpt-oss-20b measured
LegalBench (Vals AI)Not measured70.8%Only gpt-oss-20b measured
CaseLaw (Vals AI)Not measured43.8%Only gpt-oss-20b measured
CorpFin (Vals AI)Not measured53.1%Only gpt-oss-20b measured
TaxEval (Vals AI)Not measured63.7%Only gpt-oss-20b measured
MedQA (Vals AI)Not measured82.9%Only gpt-oss-20b measured
MMLU Pro (Artificial Analysis run)84.9%74.8%R1 0528
LMArena Text: science14301296R1 0528
LMArena Text: medicine and healthcare14451310R1 0528
LMArena Text: legal and government14191280R1 0528
LMArena Text: business and finance14021284R1 0528
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index20
Web design benchmarks for R1 0528 and gpt-oss-20b
BenchmarkR1 0528gpt-oss-20bLeader
Design Arena: websites1149852R1 0528
Design Arena: UI components1100Not measuredOnly R1 0528 measured
Design Arena: game dev1097Not measuredOnly R1 0528 measured
Design Arena: data viz1182933R1 0528
Design Arena: 3D1110Not measuredOnly R1 0528 measured
Design Arena: all code categories1138Not measuredOnly R1 0528 measured
Design Arena: SVG1038Not measuredOnly R1 0528 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
General benchmarks for R1 0528 and gpt-oss-20b
BenchmarkR1 0528gpt-oss-20bLeader
IFBench39.6%65.1%gpt-oss-20b
Long context reasoning (AA-LCR)55.7%34.7%R1 0528
DTBenchNot measured68.0%Only gpt-oss-20b measured
LMCANot measured14.5%Only gpt-oss-20b measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281288R1 0528
LMArena Text: instruction following13821236R1 0528
LMArena Text: creative writing14051201R1 0528
LMArena Text: English14371303R1 0528
LMArena Text: non-English14121269R1 0528
LMArena Text: Chinese14421315R1 0528
LMArena Text: German14041255R1 0528
LMArena Text: Japanese13911244R1 0528
LMArena Text: Korean13601236R1 0528
LMArena Text: French1417Not measuredOnly R1 0528 measured
LMArena Text: Spanish14111267R1 0528
LMArena Text: Russian14231278R1 0528
LMArena Text: Polish14281252R1 0528
LMArena Text: multi-turn14051268R1 0528
LMArena Text: longer queries13911250R1 0528
LMArena Text: writing and language14021238R1 0528
LMArena Text: entertainment and media14001216R1 0528
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 R1 0528 and gpt-oss-20b
BenchmarkR1 0528gpt-oss-20bLeader
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

R1 0528$0.0016Fits in one request
gpt-oss-20b$0.0001Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
gpt-oss-20b$0.0019Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
gpt-oss-20b$0.0075Exceeds the context window

gpt-oss-20b 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 R1 0528 and gpt-oss-20b
SpecificationDeepSeek R1 0528OpenAI gpt-oss-20b
MakerDeepSeekOpenAI
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025August 5, 2025
Context window164K131K
Input $/Mtok$0.50$0.03
Output $/Mtok$2.18$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than gpt-oss-20b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for a larger context window (164K against 131K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Which is cheaper, R1 0528 or gpt-oss-20b?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; gpt-oss-20b costs $0.03 and $0.15. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or gpt-oss-20b?

R1 0528, with 164K tokens against 131K.

How many benchmarks is the R1 0528 vs gpt-oss-20b comparison based on?

45 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and gpt-oss-20b's on 0. Where only one model has a result, the page says so instead of naming a winner.

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