Enter opens the highlighted result. Esc closes.

Nemotron 3 Nano 30B A3B vs Qwen3 30B A3B Instruct 2507

Nemotron 3 Nano 30B A3B leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 8.9 to 7.5, and Nemotron 3 Nano 30B A3B costs 1.4x less per output token ($0.22 vs $0.30 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Nemotron 3 Nano 30B A3BNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.22
9
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
31
vs boards won of 40 shared

Nemotron 3 Nano 30B A3B or Qwen3 30B A3B Instruct 2507: which to pick

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

Pick Nemotron 3 Nano 30B A3B for output tokens 1.4x cheaper ($0.22 vs $0.30 per million) and work measured by SciCode or LMArena Text: coding, where it leads.

Shared results
40
Nemotron 3 Nano 30B A3B only
2
Qwen3 30B A3B Instruct 2507 only
5
Like-for-like categories
7 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
Nemotron 3 Nano 30B A3B not benchmarked, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Math, 14.9 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Nemotron 3 Nano 30B A3B 91.0 against Qwen3 30B A3B Instruct 2507 66.3, 24.7 points apart on a 0 to 100 scale.
Output price
Nemotron 3 Nano 30B A3B $0.22 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 1.4x apart.
Context window
Both take 262K tokens.

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
CategoryNemotron 3 Nano 30B A3BBarsQwen3 30B A3B Instruct 2507Ties
Coding23
Intelligence10
Agentic work10
Reasoning23
Math22
Knowledge05
General118
All shared boards931
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
Coding benchmarks for Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
BenchmarkNemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507Leader
AA Coding Index14.4Not measuredOnly Nemotron 3 Nano 30B A3B measured
LiveCodeBench (Artificial Analysis run)74.1%70.7%Nemotron 3 Nano 30B A3B
SciCode30.6%33.0%Qwen3 30B A3B Instruct 2507
Terminal-Bench Hard (Artificial Analysis run)13.6%6.1%Nemotron 3 Nano 30B A3B
LMArena Text: coding13781416Qwen3 30B A3B Instruct 2507
LMArena Text: software and IT13831417Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 37 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
BenchmarkNemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507Leader
AA Intelligence Index8.97.5Nemotron 3 Nano 30B A3B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
BenchmarkNemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507Leader
AA Agentic Index1.0Not measuredOnly Nemotron 3 Nano 30B A3B measured
τ²-Bench Telecom40.9%28.1%Nemotron 3 Nano 30B A3B
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
Reasoning benchmarks for Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
BenchmarkNemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507Leader
GPQA Diamond (Artificial Analysis run)75.7%70.7%Nemotron 3 Nano 30B A3B
Humanity's Last Exam (Artificial Analysis run)11.4%10.3%Nemotron 3 Nano 30B A3B
GPQA Diamond (Epoch AI run)Not measured55.6%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: hard prompts13481398Qwen3 30B A3B Instruct 2507
LMArena Text: expert13551397Qwen3 30B A3B Instruct 2507
LMArena Text: hard prompts in English13761406Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 17 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
BenchmarkNemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507Leader
AA Math Index91.066.3Nemotron 3 Nano 30B A3B
AIME 2025 (Artificial Analysis run)91.0%66.3%Nemotron 3 Nano 30B A3B
OTIS Mock AIMENot measured62.2%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: math13711394Qwen3 30B A3B Instruct 2507
LMArena Text: mathematical work13751411Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
BenchmarkNemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507Leader
MMLU Pro (Artificial Analysis run)79.4%80.5%Qwen3 30B A3B Instruct 2507
LMArena Text: science13531393Qwen3 30B A3B Instruct 2507
LMArena Text: medicine and healthcare13491392Qwen3 30B A3B Instruct 2507
LMArena Text: legal and government13411387Qwen3 30B A3B Instruct 2507
LMArena Text: business and finance13461389Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 15 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
BenchmarkNemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
General benchmarks for Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
BenchmarkNemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507Leader
IFBench71.1%50.7%Nemotron 3 Nano 30B A3B
Long context reasoning (AA-LCR)38.0%61.3%Qwen3 30B A3B Instruct 2507
DTBenchNot measured67.2%Only Qwen3 30B A3B Instruct 2507 measured
LMCANot measured22.4%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text13481384Qwen3 30B A3B Instruct 2507
LMArena Text: instruction following13031363Qwen3 30B A3B Instruct 2507
LMArena Text: creative writing12691317Qwen3 30B A3B Instruct 2507
LMArena Text: English13771391Qwen3 30B A3B Instruct 2507
LMArena Text: non-English13201372Qwen3 30B A3B Instruct 2507
LMArena Text: Chinese13831432Qwen3 30B A3B Instruct 2507
LMArena Text: German13481379Qwen3 30B A3B Instruct 2507
LMArena Text: Japanese12681337Qwen3 30B A3B Instruct 2507
LMArena Text: Korean12691330Qwen3 30B A3B Instruct 2507
LMArena Text: French13961419Qwen3 30B A3B Instruct 2507
LMArena Text: Spanish13761404Qwen3 30B A3B Instruct 2507
LMArena Text: Russian13041369Qwen3 30B A3B Instruct 2507
LMArena Text: Polish13031353Qwen3 30B A3B Instruct 2507
LMArena Text: multi-turn13191378Qwen3 30B A3B Instruct 2507
LMArena Text: longer queries13001378Qwen3 30B A3B Instruct 2507
LMArena Text: writing and language12831336Qwen3 30B A3B Instruct 2507
LMArena Text: entertainment and media12931334Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
BenchmarkNemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507Leader
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

Nemotron 3 Nano 30B A3B$0.0002Fits in one request
Qwen3 30B A3B Instruct 2507$0.0002Fits in one request

Nemotron 3 Nano 30B A3B costs less

Repository review

50K input + 3K output tokens

Nemotron 3 Nano 30B A3B$0.0034Fits in one request
Qwen3 30B A3B Instruct 2507$0.0054Fits in one request

Nemotron 3 Nano 30B A3B costs less

Agent loop

200K input + 10K output tokens

Nemotron 3 Nano 30B A3B$0.013Fits in one request
Qwen3 30B A3B Instruct 2507$0.021Fits 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 Nemotron 3 Nano 30B A3B and Qwen3 30B A3B Instruct 2507
SpecificationNVIDIA Nemotron 3 Nano 30B A3BQwen3 30B A3B Instruct 2507
MakerNVIDIAQwen
WeightsOpen weightsOpen weights
ReleasedDecember 14, 2025July 29, 2025
Context window262K262K
Input $/Mtok$0.055$0.09
Output $/Mtok$0.22$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nemotron 3 Nano 30B A3B better than Qwen3 30B A3B Instruct 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3 Nano 30B A3B for output tokens 1.4x cheaper ($0.22 vs $0.30 per million) and work measured by SciCode or LMArena Text: coding, where it leads.

Which is cheaper, Nemotron 3 Nano 30B A3B or Qwen3 30B A3B Instruct 2507?

Nemotron 3 Nano 30B A3B costs $0.055 per million input tokens and $0.22 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Nemotron 3 Nano 30B A3B or Qwen3 30B A3B Instruct 2507?

Neither: both take 262K tokens.

How many benchmarks is the Nemotron 3 Nano 30B A3B vs Qwen3 30B A3B Instruct 2507 comparison based on?

40 benchmarks have a result for both models as of October 22, 2026. Nemotron 3 Nano 30B A3B's coding index rests on 0 independent benchmarks and Qwen3 30B A3B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next