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Mercury 2 vs Nemotron 3 Nano 30B A3B

Mercury 2 leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 10.8 to 8.9, and Nemotron 3 Nano 30B A3B costs 3.4x less per output token ($0.22 vs $0.75 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

Mercury 2Inception
Coding
No data
Overall
No data
Output $/M
$0.75
26
Nemotron 3 Nano 30B A3BNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.22
3
vs boards won of 29 shared

Mercury 2 or Nemotron 3 Nano 30B A3B: which to pick

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

Pick Mercury 2 for work measured by LMArena Text: hard prompts in English or LMArena Text: science, where it leads.

Shared results
29
Mercury 2 only
13
Nemotron 3 Nano 30B A3B only
13
Like-for-like categories
6 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
Mercury 2 not benchmarked, Nemotron 3 Nano 30B A3B not benchmarked.
Widest category
Agentic work, 15.2 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Mercury 2 70.8% against Nemotron 3 Nano 30B A3B 40.9%, 29.8 points apart on a 0 to 100 scale.
Output price
Mercury 2 $0.75 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 3.4x apart.
Context window
Mercury 2 takes 128K tokens, Nemotron 3 Nano 30B A3B 262K.

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
CategoryMercury 2BarsNemotron 3 Nano 30B A3BTies
Coding50
Intelligence10
Agentic work20
Reasoning41
Knowledge21
General121
All shared boards263
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Mercury 2 and Nemotron 3 Nano 30B A3B
BenchmarkMercury 2Nemotron 3 Nano 30B A3BLeader
LMArena WebDev1171Not measuredOnly Mercury 2 measured
AA Coding Index31.114.4Mercury 2
LiveCodeBench (Artificial Analysis run)Not measured74.1%Only Nemotron 3 Nano 30B A3B measured
SciCode37.7%30.6%Mercury 2
Terminal-Bench Hard (Artificial Analysis run)26.5%13.6%Mercury 2
WeirdML43.2%Not measuredOnly Mercury 2 measured
ALE-Bench785.6Not measuredOnly Mercury 2 measured
LMArena Text: coding13901378Mercury 2
LMArena Text: software and IT13851383Mercury 2
LMArena WebDev: React1160Not measuredOnly Mercury 2 measured
LMArena WebDev: HTML1199Not measuredOnly Mercury 2 measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Mercury 2 and Nemotron 3 Nano 30B A3B
BenchmarkMercury 2Nemotron 3 Nano 30B A3BLeader
AA Intelligence Index10.88.9Mercury 2
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Mercury 2 and Nemotron 3 Nano 30B A3B
BenchmarkMercury 2Nemotron 3 Nano 30B A3BLeader
AA Agentic Index1.61.0Mercury 2
τ²-Bench Telecom70.8%40.9%Mercury 2
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index41
Reasoning benchmarks for Mercury 2 and Nemotron 3 Nano 30B A3B
BenchmarkMercury 2Nemotron 3 Nano 30B A3BLeader
GPQA Diamond (Artificial Analysis run)77.0%75.7%Mercury 2
Humanity's Last Exam (Artificial Analysis run)17.1%11.4%Mercury 2
LMArena Text: hard prompts13621348Mercury 2
LMArena Text: expert13581355Mercury 2
LMArena Text: hard prompts in English13741376Nemotron 3 Nano 30B A3B
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Mercury 2 and Nemotron 3 Nano 30B A3B
BenchmarkMercury 2Nemotron 3 Nano 30B A3BLeader
AA Math IndexNot measured91.0Only Nemotron 3 Nano 30B A3B measured
AIME 2025 (Artificial Analysis run)Not measured91.0%Only Nemotron 3 Nano 30B A3B measured
LMArena Text: mathNot measured1371Only Nemotron 3 Nano 30B A3B measured
LMArena Text: mathematical workNot measured1375Only Nemotron 3 Nano 30B A3B measured
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index21
Knowledge benchmarks for Mercury 2 and Nemotron 3 Nano 30B A3B
BenchmarkMercury 2Nemotron 3 Nano 30B A3BLeader
MMLU Pro (Artificial Analysis run)Not measured79.4%Only Nemotron 3 Nano 30B A3B measured
LMArena Text: science13431353Nemotron 3 Nano 30B A3B
LMArena Text: medicine and healthcare13631349Mercury 2
LMArena Text: legal and governmentNot measured1341Only Nemotron 3 Nano 30B A3B measured
LMArena Text: business and finance13491346Mercury 2
Neither model has a result on the other 15 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Mercury 2 and Nemotron 3 Nano 30B A3B
BenchmarkMercury 2Nemotron 3 Nano 30B A3BLeader
Design Arena: websites1035Not measuredOnly Mercury 2 measured
Design Arena: UI components996Not measuredOnly Mercury 2 measured
Design Arena: game dev983Not measuredOnly Mercury 2 measured
Design Arena: data viz1010Not measuredOnly Mercury 2 measured
Design Arena: 3D982Not measuredOnly Mercury 2 measured
Design Arena: all code categories1021Not measuredOnly Mercury 2 measured
Design Arena: SVG997Not measuredOnly Mercury 2 measured
Design Arena: ASCII art988Not measuredOnly Mercury 2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for Mercury 2 and Nemotron 3 Nano 30B A3B
BenchmarkMercury 2Nemotron 3 Nano 30B A3BLeader
IFBench69.8%71.1%Nemotron 3 Nano 30B A3B
Long context reasoning (AA-LCR)43.7%38.0%Mercury 2
LMArena Text13541348Mercury 2
LMArena Text: instruction following13281303Mercury 2
LMArena Text: creative writing12861269Mercury 2
LMArena Text: English13781377Mercury 2
LMArena Text: non-English13301320Mercury 2
LMArena Text: Chinese14141383Mercury 2
LMArena Text: GermanNot measured1348Only Nemotron 3 Nano 30B A3B measured
LMArena Text: JapaneseNot measured1268Only Nemotron 3 Nano 30B A3B measured
LMArena Text: KoreanNot measured1269Only Nemotron 3 Nano 30B A3B measured
LMArena Text: FrenchNot measured1396Only Nemotron 3 Nano 30B A3B measured
LMArena Text: SpanishNot measured1376Only Nemotron 3 Nano 30B A3B measured
LMArena Text: Russian13041304Mercury 2
LMArena Text: PolishNot measured1303Only Nemotron 3 Nano 30B A3B measured
LMArena Text: multi-turn13571319Mercury 2
LMArena Text: longer queries13291300Mercury 2
LMArena Text: writing and language13001283Mercury 2
LMArena Text: entertainment and media13141293Mercury 2
Neither model has a result on the other 29 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mercury 2 and Nemotron 3 Nano 30B A3B
BenchmarkMercury 2Nemotron 3 Nano 30B A3BLeader
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

Mercury 2$0.0006Fits in one request
Nemotron 3 Nano 30B A3B$0.0002Fits in one request

Nemotron 3 Nano 30B A3B costs less

Repository review

50K input + 3K output tokens

Mercury 2$0.015Fits in one request
Nemotron 3 Nano 30B A3B$0.0034Fits in one request

Nemotron 3 Nano 30B A3B costs less

Agent loop

200K input + 10K output tokens

Mercury 2$0.058Exceeds the context window
Nemotron 3 Nano 30B A3B$0.013Fits in one request

Nemotron 3 Nano 30B A3B 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 Mercury 2 and Nemotron 3 Nano 30B A3B
SpecificationInception Mercury 2NVIDIA Nemotron 3 Nano 30B A3B
MakerInceptionNVIDIA
WeightsNo public weights listedOpen weights
ReleasedMarch 4, 2026December 14, 2025
Context window128K262K
Input $/Mtok$0.25$0.055
Output $/Mtok$0.75$0.22
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 2 better than Nemotron 3 Nano 30B A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mercury 2 for work measured by LMArena Text: hard prompts in English or LMArena Text: science, where it leads.

Which is cheaper, Mercury 2 or Nemotron 3 Nano 30B A3B?

Mercury 2 costs $0.25 per million input tokens and $0.75 per million output tokens; Nemotron 3 Nano 30B A3B costs $0.055 and $0.22. Cost per solved task is known for neither of them.

Which has the bigger context window, Mercury 2 or Nemotron 3 Nano 30B A3B?

Nemotron 3 Nano 30B A3B, with 262K tokens against 128K.

How many benchmarks is the Mercury 2 vs Nemotron 3 Nano 30B A3B comparison based on?

29 benchmarks have a result for both models as of October 22, 2026. Mercury 2's coding index rests on 1 independent benchmark and Nemotron 3 Nano 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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