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Trinity Large Thinking vs gpt-oss-20b

Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Trinity Large Thinking Replace gpt-oss-20b
Trinity Large ThinkingArcee AI
Coding
No data
Overall
10.8
Output $/M
$0.80
38
gpt-oss-20bOpenAI
Coding
No data
Overall
10.0
Output $/M
$0.15
1
vs boards won of 39 shared

Decision reading

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

Trinity Large Thinking has the edge where the context window is larger, 262K against 131K tokens, and where the benchmark that matters is IFBench, where it leads.

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel Bgpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
39
Trinity Large Thinking only
13
gpt-oss-20b only
21
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Trinity Large Thinking not benchmarked, gpt-oss-20b not benchmarked.
Widest category
Agentic work, 29.8 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: websites: Trinity Large Thinking 1137 against gpt-oss-20b 853, 35.5 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against gpt-oss-20b $0.15 per million output tokens, 5.3x apart.
Context window
Trinity Large Thinking takes 262K 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
CategoryTrinity Large ThinkingBarsgpt-oss-20bTies
Coding40
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge60
Web design20
General171
All shared boards381
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Trinity Large Thinking and gpt-oss-20b
BenchmarkTrinity Large Thinkinggpt-oss-20bLeader
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
LiveCodeBench (Vals AI)Not measured80.4%Only gpt-oss-20b measured
LiveCodeBench (Artificial Analysis run)Not measured77.7%Only gpt-oss-20b measured
SciCode40.6%38.9%Trinity Large Thinking
Terminal-Bench Hard (Artificial Analysis run)22.7%10.6%Trinity Large Thinking
Terminal-BenchNot measured3.4%Only gpt-oss-20b measured
WeirdMLNot measured40.9%Only gpt-oss-20b measured
ALE-BenchNot measured566.0Only gpt-oss-20b measured
LMArena Text: coding13571307Trinity Large Thinking
LMArena Text: software and IT13621311Trinity Large Thinking
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML1240Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Trinity Large Thinking and gpt-oss-20b
BenchmarkTrinity Large Thinkinggpt-oss-20bLeader
AA Intelligence Index10.810.0Trinity Large Thinking
Epoch Capabilities IndexNot measured137.7Only gpt-oss-20b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Trinity Large Thinking and gpt-oss-20b
BenchmarkTrinity Large Thinkinggpt-oss-20bLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%60.2%Trinity Large Thinking
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Trinity Large Thinking and gpt-oss-20b
BenchmarkTrinity Large Thinkinggpt-oss-20bLeader
GPQA DiamondNot measured68.9%Only gpt-oss-20b measured
GPQA Diamond (Artificial Analysis run)75.2%68.8%Trinity Large Thinking
Humanity's Last Exam (Artificial Analysis run)15.8%11.0%Trinity Large Thinking
GPQA Diamond (Epoch AI run)Not measured60.8%Only gpt-oss-20b measured
LMArena Text: hard prompts13421274Trinity Large Thinking
LMArena Text: expert13591258Trinity Large Thinking
LMArena Text: hard prompts in English13561292Trinity Large Thinking
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Trinity Large Thinking and gpt-oss-20b
BenchmarkTrinity Large Thinkinggpt-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 IndexNot measured89.3Only gpt-oss-20b measured
AIME 2025 (Artificial Analysis run)Not measured89.3%Only gpt-oss-20b measured
OTIS Mock AIMENot measured65.3%Only gpt-oss-20b measured
LMArena Text: math13651317Trinity Large Thinking
LMArena Text: mathematical work13501305Trinity Large Thinking
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Trinity Large Thinking and gpt-oss-20b
BenchmarkTrinity Large Thinkinggpt-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)57.9%43.8%Trinity Large Thinking
CorpFin (Vals AI)54.7%53.1%Trinity Large Thinking
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)Not measured74.8%Only gpt-oss-20b measured
LMArena Text: science13551296Trinity Large Thinking
LMArena Text: medicine and healthcare13491310Trinity Large Thinking
LMArena Text: legal and government13451280Trinity Large Thinking
LMArena Text: business and finance13291284Trinity Large Thinking
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index20
Web design benchmarks for Trinity Large Thinking and gpt-oss-20b
BenchmarkTrinity Large Thinkinggpt-oss-20bLeader
Design Arena: websites1137853Trinity Large Thinking
Design Arena: UI components1045Not measuredOnly Trinity Large Thinking measured
Design Arena: game dev1079Not measuredOnly Trinity Large Thinking measured
Design Arena: data viz1098933Trinity Large Thinking
Design Arena: 3D1082Not measuredOnly Trinity Large Thinking measured
Design Arena: all code categories1117Not measuredOnly Trinity Large Thinking measured
Design Arena: SVG1017Not measuredOnly Trinity Large Thinking measured
Design Arena: ASCII art1041Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
General benchmarks for Trinity Large Thinking and gpt-oss-20b
BenchmarkTrinity Large Thinkinggpt-oss-20bLeader
IFBench56.3%65.1%gpt-oss-20b
Long context reasoning (AA-LCR)38.0%34.7%Trinity Large Thinking
DTBenchNot measured68.0%Only gpt-oss-20b measured
LMCANot measured14.5%Only gpt-oss-20b measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401288Trinity Large Thinking
LMArena Text: instruction following13261236Trinity Large Thinking
LMArena Text: creative writing13081201Trinity Large Thinking
LMArena Text: English13561303Trinity Large Thinking
LMArena Text: non-English13251269Trinity Large Thinking
LMArena Text: Chinese13711315Trinity Large Thinking
LMArena Text: German13561255Trinity Large Thinking
LMArena Text: Japanese13121244Trinity Large Thinking
LMArena Text: Korean13061236Trinity Large Thinking
LMArena Text: French1366Not measuredOnly Trinity Large Thinking measured
LMArena Text: Spanish13271267Trinity Large Thinking
LMArena Text: Russian13381278Trinity Large Thinking
LMArena Text: Polish13121252Trinity Large Thinking
LMArena Text: multi-turn13201268Trinity Large Thinking
LMArena Text: longer queries13181250Trinity Large Thinking
LMArena Text: writing and language13171238Trinity Large Thinking
LMArena Text: entertainment and media12961216Trinity Large Thinking
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Trinity Large Thinking and gpt-oss-20b
BenchmarkTrinity Large Thinkinggpt-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

Trinity Large Thinking$0.0006Fits in one request
gpt-oss-20b$0.0001Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
gpt-oss-20b$0.0019Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
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 Trinity Large Thinking and gpt-oss-20b
SpecificationArcee AI Trinity Large ThinkingOpenAI gpt-oss-20b
MakerArcee AIOpenAI
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026August 5, 2025
Context window262K131K
Input $/Mtok$0.25$0.03
Output $/Mtok$0.80$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than gpt-oss-20b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Trinity Large Thinking has the edge where the context window is larger, 262K against 131K tokens, and where the benchmark that matters is IFBench, where it leads.

Which is cheaper, Trinity Large Thinking or gpt-oss-20b?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 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, Trinity Large Thinking or gpt-oss-20b?

Trinity Large Thinking, with 262K tokens against 131K.

How many benchmarks is the Trinity Large Thinking vs gpt-oss-20b comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark 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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