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Model comparison

Gemini 3.1 Pro vs Nemotron 3 Nano 30B

Data verified

Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.3/100
Margin
2.4pts
← winning
52.94/100
0 category wins0 category wins

Public leaderboard positions: Gemini 3.1 Pro #83 (Estimated); Nemotron 3 Nano 30B #98 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.1 Pro and Nemotron 3 Nano 30B share 15 comparable benchmark results. 0 of 8 categories are comparable. 32 results are unique to Gemini 3.1 Pro; 0 to Nemotron 3 Nano 30B.

Updated July 20, 2026
Shared results
15
Gemini 3.1 Pro only
32
Nemotron 3 Nano 30B only
0
Comparable categories
0 / 8

Benchmark data for Gemini 3.1 Pro and Nemotron 3 Nano 30B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Gemini 3.1 Pro is priced at $2.00 input / $12.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano 30B. Gemini 3.1 Pro has the larger context window at 1M, compared with 32K for Nemotron 3 Nano 30B.

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 Gemini 3.1 Pro and Nemotron 3 Nano 30B
CategoryGemini 3.1 ProΔNemotron 3 Nano 30B
ReasoningGemini 3.1 Pro77.1MarginNo overlapNemotron 3 Nano 30BNot measured
MathGemini 3.1 Pro31.8MarginNo overlapNemotron 3 Nano 30BNot measured
MultimodalGemini 3.1 Pro82.6MarginNo overlapNemotron 3 Nano 30BNot measured

Operational comparison

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

MetricGemini 3.1 ProNemotron 3 Nano 30BComparison
Input / output priceUSD per 1M tokensGemini 3.1 Pro$2 input / $12 outputNemotron 3 Nano 30B$0 input / $0 outputNemotron 3 Nano 30B has the lower combined listed price.
Generation speedtokens per secondGemini 3.1 Pro109 tok/sNemotron 3 Nano 30B152 tok/sNemotron 3 Nano 30B has the higher measured throughput.
First-answer latencyseconds to first tokenGemini 3.1 Pro29.71 sNemotron 3 Nano 30B1.90 sNemotron 3 Nano 30B reaches the first token sooner.
Context windowmaximum listed tokensGemini 3.1 Pro1MNemotron 3 Nano 30B32KGemini 3.1 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3.1 ProNemotron 3 Nano 30BResult
Claw-EvalSource 57.8%—Not comparable
DeepSearchQASource 69.7%—Not comparable
τ²-bench resultsSource 95.6%40.9%Gemini 3.1 Pro leads
AA Agentic IndexSource 21.4%2.0%Gemini 3.1 Pro leads
APEX-Agents-AASource 32.0%—Not comparable
GDPval-AASource 23.2%0.0%Gemini 3.1 Pro leads
GDPval-AASource 965484Gemini 3.1 Pro leads
Gert LabsSource 56.87%—Not comparable
ResearchClawBenchSource 13.3%—Not comparable
AA AutomationBenchSource 37.5%—Not comparable
AA EnterpriseOps-GymSource 42.2%—Not comparable
AA Harvey LABSource 0.0%—Not comparable
AA ITBenchSource 30.3%—Not comparable
AA Tau3 BankingSource 16.5%—Not comparable
terminalBenchHardSource 53.8%—Not comparable
aaTerminalBench21Source 73.8%—Not comparable
Coding
BenchmarkGemini 3.1 ProNemotron 3 Nano 30BResult
LiveCodeBench ProSource 82.9%—Not comparable
React Native EvalsSource 78.9%—Not comparable
Vibe Code BenchSource 32.03%—Not comparable
AA Coding IndexSource 68.8%14.4%Gemini 3.1 Pro leads
AA-SciCodeSource 58.9%29.6%Gemini 3.1 Pro leads
Reasoning
BenchmarkGemini 3.1 ProNemotron 3 Nano 30BResult
ARC-AGI-2Source 77.1%—Not comparable
AA-LCRSource 72.7%33.7%Gemini 3.1 Pro leads
CritPtSource 17.7%0.9%Gemini 3.1 Pro leads
Knowledge
BenchmarkGemini 3.1 ProNemotron 3 Nano 30BResult
GPQA-DSource 94.3%—Not comparable
HLE w/o toolsSource 45.4%—Not comparable
HealthBench HardSource 20.6%—Not comparable
MedXpertQA (Text)Source 71.5%—Not comparable
Artificial Analysis Intelligence IndexSource 46.5%14.2%Gemini 3.1 Pro leads
AA-GPQA DiamondSource 94.1%75.7%Gemini 3.1 Pro leads
AA-HLESource 44.7%10.2%Gemini 3.1 Pro leads
AA-Omniscience IndexSource 32.9%-51.6%Gemini 3.1 Pro leads
AA-Omniscience AccuracySource 55.3%17.1%Gemini 3.1 Pro leads
AA-Omniscience Hallucination RateSource 49.9%82.9%Gemini 3.1 Pro leads
Math
BenchmarkGemini 3.1 ProNemotron 3 Nano 30BResult
FrontierMath v2 (Tiers 1-3)Source 36.900%—Not comparable
FrontierMath v2 (Tier 4)Source 16.700%—Not comparable
Multilingual
BenchmarkGemini 3.1 ProNemotron 3 Nano 30BResult
AA Global-MMLU-LiteSource 93.2%—Not comparable
Multimodal
BenchmarkGemini 3.1 ProNemotron 3 Nano 30BResult
MMMU-ProSource 83.9%—Not comparable
CharXivSource 80.2%—Not comparable
ERQASource 69.4%—Not comparable
SimpleVQASource 72.4%—Not comparable
ScreenSpot ProSource 84.4%—Not comparable
ZeroBenchSource 29.0%—Not comparable
MedXpertQA (MM)Source 81.3%—Not comparable
AA-MMMU-ProSource 82.4%—Not comparable
Design Arena WebsiteSource 1284—Not comparable
Inst. Following
BenchmarkGemini 3.1 ProNemotron 3 Nano 30BResult
AA-IFBenchSource 77.1%71.1%Gemini 3.1 Pro leads
Frequently Asked Questions (3)

Can I compare Gemini 3.1 Pro and Nemotron 3 Nano 30B on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Gemini 3.1 Pro and Nemotron 3 Nano 30B today?

Gemini 3.1 Pro: $2.00 input / $12.00 output per 1M tokens Nemotron 3 Nano 30B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 20, 2026

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