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Model comparison

Nemotron 3 Nano Omni 30B A3B vs Qwen3.6-27B

Data verified

Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Margin
9.6pts
winning →
53.82/100
1 category wins2 category wins

Public leaderboard positions: Nemotron 3 Nano Omni 30B A3B #151 (Estimated); Qwen3.6-27B #93 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Nemotron 3 Nano Omni 30B A3B and Qwen3.6-27B share 20 comparable benchmark results. 3 of 8 categories are comparable. 9 results are unique to Nemotron 3 Nano Omni 30B A3B; 34 to Qwen3.6-27B.

Updated July 23, 2026
Shared results
20
Nemotron 3 Nano Omni 30B A3B only
9
Qwen3.6-27B only
34
Comparable categories
3 / 8

Pick Qwen3.6-27B if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if knowledge is the priority.

Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3.6-27B is clearly ahead on the BenchAlign aggregate, 53.82 to 44.24. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen3.6-27B's sharpest advantage is in coding, where it averages 77.5 against 32. The single biggest benchmark swing on the page is GPQA, 72.2% to 87.8%. Nemotron 3 Nano Omni 30B A3B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Qwen3.6-27B gives you the larger context window at 262K, compared with 256K for Nemotron 3 Nano Omni 30B A3B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Nemotron 3 Nano Omni 30B A3B and Qwen3.6-27B
CategoryNemotron 3 Nano Omni 30B A3BΔQwen3.6-27B
CodingNemotron 3 Nano Omni 30B A3B32.0Margin 45.5Qwen3.6-27B77.5
KnowledgeNemotron 3 Nano Omni 30B A3B76.3Margin 23.0Qwen3.6-27B53.3
MultimodalNemotron 3 Nano Omni 30B A3B76.3Margin 0.4Qwen3.6-27B76.7
AgenticNemotron 3 Nano Omni 30B A3BNot measuredMarginNo overlapQwen3.6-27B59.3
MathNemotron 3 Nano Omni 30B A3BNot measuredMarginNo overlapQwen3.6-27B89.2
Inst. FollowingNemotron 3 Nano Omni 30B A3B74.2MarginNo overlapQwen3.6-27BNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Nemotron 3 Nano Omni 30B A3BB · Qwen3.6-27B
  1. GPQA

    Knowledge
    Source ↗
    A 72.2%B 87.8%
    Winner: Qwen3.6-27BΔ 15.6
    GPQA: Nemotron 3 Nano Omni 30B A3B scored 72.2%; Qwen3.6-27B scored 87.8%. Qwen3.6-27B wins this benchmark.
  2. MMLU-Pro

    Knowledge
    Source ↗
    A 77.3%B 86.2%
    Winner: Qwen3.6-27BΔ 8.9
    MMLU-Pro: Nemotron 3 Nano Omni 30B A3B scored 77.3%; Qwen3.6-27B scored 86.2%. Qwen3.6-27B wins this benchmark.
  3. CharXiv

    Multimodal
    Source ↗
    A 76.3%B 78.4%
    Winner: Qwen3.6-27BΔ 2.2
    CharXiv: Nemotron 3 Nano Omni 30B A3B scored 76.3%; Qwen3.6-27B scored 78.4%. Qwen3.6-27B wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricNemotron 3 Nano Omni 30B A3BQwen3.6-27BComparison
Input / output priceUSD per 1M tokensNemotron 3 Nano Omni 30B A3B$0 input / $0 outputQwen3.6-27B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondNemotron 3 Nano Omni 30B A3BNot availableQwen3.6-27BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenNemotron 3 Nano Omni 30B A3BNot availableQwen3.6-27BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensNemotron 3 Nano Omni 30B A3B256KQwen3.6-27B262KQwen3.6-27B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkNemotron 3 Nano Omni 30B A3BQwen3.6-27BResult
OSWorldSource 47.4%Not comparable
τ²-bench resultsSource 45.3%94.2%Qwen3.6-27B leads
GDPval-AASource 0.0%32.0%Qwen3.6-27B leads
GDPval-AASource 4671140Qwen3.6-27B leads
Terminal-Bench 2.0Source 59.3%Not comparable
Claw-EvalSource 72.4%Not comparable
QwenClawBenchSource 53.4%Not comparable
QwenWebBenchSource 1487Not comparable
AndroidWorldSource 70.3%Not comparable
AA Agentic IndexSource 27.0%Not comparable
Gert LabsSource 54.84%Not comparable
CodingQwen3.6-27B wins
BenchmarkNemotron 3 Nano Omni 30B A3BQwen3.6-27BResult
SciCodeSource 32%Not comparable
AA-SciCodeSource 27.8%39.8%Qwen3.6-27B leads
AA Coding IndexSource 13.8%53.7%Qwen3.6-27B leads
SWE-bench VerifiedSource 77.2%Not comparable
SWE MultilingualSource 71.3%Not comparable
SWE-bench ProSource 53.5%Not comparable
Terminal-Bench 2.0Source 59.3%Not comparable
LiveCodeBenchSource 83.9%Not comparable
NL2RepoSource 36.2%Not comparable
Reasoning
BenchmarkNemotron 3 Nano Omni 30B A3BQwen3.6-27BResult
AA-LCRSource 35.7%68.7%Qwen3.6-27B leads
CritPtSource 0.0%1.1%Qwen3.6-27B leads
KnowledgeNemotron 3 Nano Omni 30B A3B wins
BenchmarkNemotron 3 Nano Omni 30B A3BQwen3.6-27BResult
MMLU-ProSource 77.3%86.2%Qwen3.6-27B leads
GPQASource 72.2%87.8%Qwen3.6-27B leads
GPQA-DSource 72.2%Not comparable
Artificial Analysis Intelligence IndexSource 14.9%37.0%Qwen3.6-27B leads
AA-GPQA DiamondSource 46.9%84.2%Qwen3.6-27B leads
AA-HLESource 5.3%21.6%Qwen3.6-27B leads
AA-Omniscience IndexSource -56.0%-19.8%Qwen3.6-27B leads
AA-Omniscience AccuracySource 14.8%19.2%Qwen3.6-27B leads
AA-Omniscience Hallucination RateSource 83.1%48.3%Qwen3.6-27B leads
MMLU-ReduxSource 93.5%Not comparable
SuperGPQASource 66%Not comparable
C-EvalSource 91.4%Not comparable
HLESource 24%Not comparable
Math
BenchmarkNemotron 3 Nano Omni 30B A3BQwen3.6-27BResult
AIME 2025Source 82.1%Not comparable
HMMT Feb 2025Source 93.8%Not comparable
HMMT Nov 2025Source 90.7%Not comparable
HMMT Feb 2026Source 84.3%Not comparable
MMAnswerBenchSource 80.8%Not comparable
AIME26Source 94.1%Not comparable
MultimodalQwen3.6-27B wins
BenchmarkNemotron 3 Nano Omni 30B A3BQwen3.6-27BResult
MMMUSource 70.8%82.9%Qwen3.6-27B leads
MMLongBench-DocSource 57.5%Not comparable
CharXivSource 76.3%78.4%Qwen3.6-27B leads
ScreenSpot ProSource 57.8%Not comparable
Video-MME (w/o subtitle)Source 72.2%Not comparable
AI2D_TESTSource 88.5%Not comparable
RefCOCO (avg)Source 90.5%92.5%Qwen3.6-27B leads
AA-MMMU-ProSource 53.2%74.6%Qwen3.6-27B leads
MMMU-ProSource 75.8%Not comparable
RealWorldQASource 84.1%Not comparable
DynaMathSource 85.6%Not comparable
MStarSource 81.4%Not comparable
SimpleVQASource 56.1%Not comparable
CC-OCRSource 81.2%Not comparable
CountBenchSource 97.8%Not comparable
ERQASource 62.5%Not comparable
Video-MME (with subtitle)Source 87.7%Not comparable
VideoMMMUSource 84.4%Not comparable
MLVU (M-Avg)Source 86.6%Not comparable
V*Source 94.7%Not comparable
Inst. Following
BenchmarkNemotron 3 Nano Omni 30B A3BQwen3.6-27BResult
IFBenchSource 74.2%Not comparable
AA-IFBenchSource 63.2%67.6%Qwen3.6-27B leads
Frequently Asked Questions (4)

Which is better, Nemotron 3 Nano Omni 30B A3B or Qwen3.6-27B?

Qwen3.6-27B is ahead on BenchLM's BenchAlign leaderboard, 53.82 to 44.24. The biggest single separator in this matchup is GPQA, where the scores are 72.2% and 87.8%.

Which is better for knowledge tasks, Nemotron 3 Nano Omni 30B A3B or Qwen3.6-27B?

Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 76.3 versus 53.3. Inside this category, AA-GPQA Diamond is the benchmark that creates the most daylight between them.

Which is better for coding, Nemotron 3 Nano Omni 30B A3B or Qwen3.6-27B?

Qwen3.6-27B has the edge for coding in this comparison, averaging 77.5 versus 32. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Nemotron 3 Nano Omni 30B A3B or Qwen3.6-27B?

Qwen3.6-27B has the edge for multimodal and grounded tasks in this comparison, averaging 76.7 versus 76.3. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Nemotron 3 Nano Omni 30B A3B
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Qwen3.6-27B
API / mo$0
Self-host / mo$429
Break-even
Model the full break-even

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Last updated: July 23, 2026

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