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Nova Micro 1.0 vs gpt-oss-20b

Updated October 21, 2026. 37 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Nova Micro 1.0 Replace gpt-oss-20b
Nova Micro 1.0Amazon
Coding
No data
Overall
5.9
Output $/M
$0.14
0
gpt-oss-20bOpenAI
Coding
No data
Overall
10.0
Output $/M
$0.15
37
vs boards won of 37 shared

Decision reading

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

Nova Micro 1.0 has the edge where output tokens cost 1.1x less, and where what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model ANova Micro 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bgpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
Nova Micro 1.0 only
2
gpt-oss-20b only
23
Like-for-like categories
7 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
Nova Micro 1.0 not benchmarked, gpt-oss-20b not benchmarked.
Widest category
Math, 50.2 points apart on average over 4 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): Nova Micro 1.0 6.0% against gpt-oss-20b 89.3%, 83.3 points apart on a 0 to 100 scale.
Output price
Nova Micro 1.0 $0.14 against gpt-oss-20b $0.15 per million output tokens, 1.1x apart.
Context window
Nova Micro 1.0 takes 128K 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
CategoryNova Micro 1.0Barsgpt-oss-20bTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math04
Knowledge05
General017
All shared boards037
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova Micro 1.0 and gpt-oss-20b
BenchmarkNova Micro 1.0gpt-oss-20bLeader
LiveCodeBench (Vals AI)Not measured80.4%Only gpt-oss-20b measured
LiveCodeBench (Artificial Analysis run)14.0%77.7%gpt-oss-20b
SciCodeNot measured38.9%Only gpt-oss-20b measured
Terminal-Bench Hard (Artificial Analysis run)1.5%10.6%gpt-oss-20b
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: coding12181307gpt-oss-20b
LMArena Text: software and IT12151311gpt-oss-20b
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 Nova Micro 1.0 and gpt-oss-20b
BenchmarkNova Micro 1.0gpt-oss-20bLeader
AA Intelligence Index5.910.0gpt-oss-20b
Epoch Capabilities IndexNot measured137.7Only gpt-oss-20b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Micro 1.0 and gpt-oss-20b
BenchmarkNova Micro 1.0gpt-oss-20bLeader
τ²-Bench Telecom14.0%60.2%gpt-oss-20b
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Nova Micro 1.0 and gpt-oss-20b
BenchmarkNova Micro 1.0gpt-oss-20bLeader
GPQA DiamondNot measured68.9%Only gpt-oss-20b measured
GPQA Diamond (Artificial Analysis run)35.8%68.8%gpt-oss-20b
Humanity's Last Exam (Artificial Analysis run)4.6%11.0%gpt-oss-20b
GPQA Diamond (Epoch AI run)Not measured60.8%Only gpt-oss-20b measured
LMArena Text: hard prompts11911274gpt-oss-20b
LMArena Text: expert11831258gpt-oss-20b
LMArena Text: hard prompts in English12031292gpt-oss-20b
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Nova Micro 1.0 and gpt-oss-20b
BenchmarkNova Micro 1.0gpt-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 Index6.089.3gpt-oss-20b
AIME 2025 (Artificial Analysis run)6.0%89.3%gpt-oss-20b
OTIS Mock AIMENot measured65.3%Only gpt-oss-20b measured
LMArena Text: math12061317gpt-oss-20b
LMArena Text: mathematical work12121305gpt-oss-20b
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Nova Micro 1.0 and gpt-oss-20b
BenchmarkNova Micro 1.0gpt-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)53.1%74.8%gpt-oss-20b
MMLU70.8%Not measuredOnly Nova Micro 1.0 measured
LMArena Text: science12101296gpt-oss-20b
LMArena Text: medicine and healthcare12071310gpt-oss-20b
LMArena Text: legal and government12211280gpt-oss-20b
LMArena Text: business and finance11821284gpt-oss-20b
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Web design benchmarks for Nova Micro 1.0 and gpt-oss-20b
BenchmarkNova Micro 1.0gpt-oss-20bLeader
Design Arena: websitesNot measured853Only gpt-oss-20b measured
Design Arena: data vizNot measured933Only gpt-oss-20b measured
Neither model has a result on the other 7 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for Nova Micro 1.0 and gpt-oss-20b
BenchmarkNova Micro 1.0gpt-oss-20bLeader
IFBench29.4%65.1%gpt-oss-20b
Long context reasoning (AA-LCR)13.0%34.7%gpt-oss-20b
DTBenchNot measured68.0%Only gpt-oss-20b measured
LMCANot measured14.5%Only gpt-oss-20b measured
LMArena Text12081288gpt-oss-20b
LMArena Text: instruction following11741236gpt-oss-20b
LMArena Text: creative writing11721201gpt-oss-20b
LMArena Text: English12241303gpt-oss-20b
LMArena Text: non-English11861269gpt-oss-20b
LMArena Text: Chinese12091315gpt-oss-20b
LMArena Text: German11921255gpt-oss-20b
LMArena Text: Japanese11541244gpt-oss-20b
LMArena Text: Korean11501236gpt-oss-20b
LMArena Text: French1238Not measuredOnly Nova Micro 1.0 measured
LMArena Text: Spanish12251267gpt-oss-20b
LMArena Text: Russian11851278gpt-oss-20b
LMArena Text: PolishNot measured1252Only gpt-oss-20b measured
LMArena Text: multi-turn11781268gpt-oss-20b
LMArena Text: longer queries12051250gpt-oss-20b
LMArena Text: writing and language11921238gpt-oss-20b
LMArena Text: entertainment and media11631216gpt-oss-20b
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Micro 1.0 and gpt-oss-20b
BenchmarkNova Micro 1.0gpt-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

Nova Micro 1.0$0.0001Fits in one request
gpt-oss-20b$0.0001Fits in one request

Same cost

Repository review

50K input + 3K output tokens

Nova Micro 1.0$0.0022Fits in one request
gpt-oss-20b$0.0019Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

Nova Micro 1.0$0.0084Exceeds 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 Nova Micro 1.0 and gpt-oss-20b
SpecificationAmazon Nova Micro 1.0OpenAI gpt-oss-20b
MakerAmazonOpenAI
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024August 5, 2025
Context window128K131K
Input $/Mtok$0.035$0.03
Output $/Mtok$0.14$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Micro 1.0 better than gpt-oss-20b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Nova Micro 1.0 has the edge where output tokens cost 1.1x less, and where what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Nova Micro 1.0 or gpt-oss-20b?

Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 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, Nova Micro 1.0 or gpt-oss-20b?

gpt-oss-20b, with 131K tokens against 128K.

How many benchmarks is the Nova Micro 1.0 vs gpt-oss-20b comparison based on?

37 benchmarks have a result for both models as of October 21, 2026. Nova Micro 1.0'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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