BenchLeader

Nemotron 3 Nano 30B A3B

Reasoning effort

Nemotron 3 Nano 30B A3B is a NVIDIA open-weights reasoning model, released 15 Dec 2025. Its best configuration (thinking reasoning effort) ranks #487 of 785 on the BenchLeader Index at 46.5 ±8.1, in the lower half. The ± is the point: 467 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in instruction following (70) and lowest in agents & tools (38). At $0.088 per million tokens blended it is among the cheapest fifth of ranked models. Output speed of 235 tokens per second puts it in the fastest quarter, with a first answer in 9.4 s. It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 15 Dec 2025.stale: no new result in six months

Blended price
$0.088/M
$0.050 in · $0.200 out
Output speed
235 tok/s
measured by Artificial Analysis
First answer
9.45 s
first token 0.45 s
Context
262k
Full answer
12 s
median, reasoning included
Cost per run
$0.017
one full Intelligence Index run
Released
15 Dec 2025
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index47
  2. Reasoning42
  3. Agents & tools38
  4. Knowledge38
  5. Instruction following70
  6. Long context43
  7. Composite39

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
no reasoning41.3#635268 tok/s0.81 s$0.0001Agents & tools 44 · Composite 37 · Instruction following 41 · Knowledge 30 · Long context 29 · Reasoning 41
thinkingbest46.5#487235 tok/s9.45 s$0.0001Agents & tools 38 · Composite 39 · Instruction following 70 · Knowledge 38 · Long context 43 · Reasoning 42
not stated––162 tok/s0.45 s$0.0001Coding 48 · Human preference 47 · Maths 52 · Reasoning 47

How its index has moved

9 Sept 2026 to 23 Oct 2026
334557
  • thinking
  • no reasoning

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Metadata

Benchmarkno reasoningthinkingSourceTrend
AA Openness Indexnot in index83.3#1283.3#12Artificial Analysis

Reasoning

Benchmarkno reasoningthinkingnot statedSourceTrend
Arena Hard Promptseffort not stated––1326#239Arena (LMArena)
GPQA Diamond (AA)not in index39.9%#48175.7%#246–Artificial Analysis
Humanity's Last Exam (AA)not in index4.6%#48911.4%#294–Artificial Analysis
CritPt0.0%#3150.9%#237–Artificial Analysis

Coding

Benchmarkthinkingnot statedSourceTrend
Arena Codingeffort not stated–1361#230Arena (LMArena)
SciCode (AA)not in index30.6%#211–Artificial Analysis
Terminal-Bench 4.0 (AA)not in index0.0%#152–Artificial Analysis
Terminal-Bench 2.1 (AA)not in index6.7%#199–Artificial Analysis

Agents & tools

Benchmarkno reasoningthinkingSourceTrend
Terminal-Bench Hard12.1%#21013.6%#201Artificial Analysis
τ²-Bench Telecom (AA)not in index25.4%#29140.9%#221Artificial Analysis
GDPval-AA v2.1not in index0.0%#1240.0%#124Artificial Analysis
τ³-Banking (AA)–6.0%#171Artificial Analysis
AutomationBenchnot in index–1.0%#195Artificial Analysis
GDP.pdf (AA)not in index–1.0%#204Artificial Analysis
AA-Briefcase v1.1not in index–77#58Artificial Analysis

Maths

Benchmarknot statedSourceTrend
Arena Maths1348#201Arena (LMArena)

Knowledge

Benchmarkno reasoningthinkingSourceTrend
AA-Omniscience-69.3#512-51.6#403Artificial Analysis
AA-Omniscience: accuracynot in index11.4%#48117.3%#368Artificial Analysis
AA-Omniscience: non-hallucinationnot in index9.0%#44216.7%#324Artificial Analysis
Global-MMLU-Lite (AA)not in index61.2%#11–Artificial Analysis

Instruction following

Benchmarkno reasoningthinkingnot statedSourceTrend
IFBench37.5%#29271.1%#61–Artificial Analysis
Arena Instruction Followingnot in indexeffort not stated––1291#247Arena (LMArena)

Human preference

Benchmarknot statedSourceTrend
Arena Text1314#244Arena (LMArena)
Arena Creative Writingnot in index1242#270Arena (LMArena)
Arena Multi-turnnot in index1290#250Arena (LMArena)
Arena Longer Queriesnot in index1285#268Arena (LMArena)

Long context

Benchmarkno reasoningthinkingSourceTrend
AA-LCR10.7%#46638.0%#365Artificial Analysis

Composite

Benchmarkno reasoningthinkingSourceTrend
AA Intelligence Index v4.3.26.8#5058.9#423Artificial Analysis

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
NovitaAI239 tok/s0.23 s$0.050$0.200262kfp4
Nebius Token Factory220 tok/s0.34 s$0.060$0.240262kfp8

Price history

The price above, per 1M tokens, every day it changed.

$0.00$0.066$0.132$0.198$0.264Sept 26Oct 26
input outputnow $0.050 in · $0.200 out

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.025 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0001$0.000110.7 s
Summarize a 30-page report12,000 / 600$0.0007$0.000512.0 s
Code edit6,000 / 1,500$0.0006$0.000515.8 s
Agentic coding session60,000 / 4,000$0.0038$0.002726.5 s
Structured extraction2,000 / 200$0.0001$0.000110.3 s

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Questions people ask

What are Nemotron 3 Nano 30B A3B's benchmark scores?
As of 24 Oct 2026, Nemotron 3 Nano 30B A3B (thinking effort) scores 46.5 ±8.1 on the BenchLeader Index, strongest in instruction following (70) and weakest in agents & tools (38). That rests on 7 independent benchmark results, and every score on this page links to its publisher.
How does Nemotron 3 Nano 30B A3B rank?
Nemotron 3 Nano 30B A3B (thinking effort) is #487 of 785 ranked configurations on 24 Oct 2026. 467 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does Nemotron 3 Nano 30B A3B cost per 1M tokens?
As of 24 Oct 2026, Nemotron 3 Nano 30B A3B costs $0.050 per 1M input tokens and $0.200 per 1M output tokens, $0.088 blended (three input tokens per output token). The list price last changed on 22 Sept 2026.
When was Nemotron 3 Nano 30B A3B released?
NVIDIA released Nemotron 3 Nano 30B A3B on 15 Dec 2025. BenchLeader has results for it at 3 reasoning-effort settings.

Data as of 24 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “Nemotron 3 Nano 30B A3B: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/nemotron-3-nano-30b-a3b.