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Model comparison

MAI-Thinking-1 vs Nemotron 3 Nano 30B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
N/A
No comparison
52.94/100
0 category wins0 category wins

Public leaderboard positions: MAI-Thinking-1 unranked (Not scored); Nemotron 3 Nano 30B #98 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. MAI-Thinking-1 and Nemotron 3 Nano 30B share 0 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to MAI-Thinking-1; 15 to Nemotron 3 Nano 30B.

Updated July 23, 2026
Shared results
0
MAI-Thinking-1 only
13
Nemotron 3 Nano 30B only
15
Comparable categories
0 / 8

Benchmark data for MAI-Thinking-1 and Nemotron 3 Nano 30B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.

MAI-Thinking-1 has the larger context window at 256K, compared with 32K for Nemotron 3 Nano 30B.

Operational comparison

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

MetricMAI-Thinking-1Nemotron 3 Nano 30BComparison
Input / output priceUSD per 1M tokensMAI-Thinking-1Not availableNemotron 3 Nano 30B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondMAI-Thinking-1Not availableNemotron 3 Nano 30B152 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenMAI-Thinking-1Not availableNemotron 3 Nano 30B1.90 sA complete latency comparison is not available.
Context windowmaximum listed tokensMAI-Thinking-1256KNemotron 3 Nano 30B32KMAI-Thinking-1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkMAI-Thinking-1Nemotron 3 Nano 30BResult
Terminal-Bench 2.0Source 46%Not comparable
τ²-bench resultsSource 40.9%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 484Not comparable
AA Agentic IndexSource 2.0%Not comparable
Coding
BenchmarkMAI-Thinking-1Nemotron 3 Nano 30BResult
SWE-bench VerifiedSource 73.5%Not comparable
SWE-bench ProSource 52.8%Not comparable
Terminal-Bench 2.0Source 46.0%Not comparable
AA-SciCodeSource 29.6%Not comparable
AA Coding IndexSource 14.4%Not comparable
Reasoning
BenchmarkMAI-Thinking-1Nemotron 3 Nano 30BResult
Graphwalks BFS 128KSource 90%Not comparable
AA-LCRSource 33.7%Not comparable
CritPtSource 0.9%Not comparable
Knowledge
BenchmarkMAI-Thinking-1Nemotron 3 Nano 30BResult
GPQASource 84.2%Not comparable
GPQA-DSource 84.2%Not comparable
MMLU-ProSource 85%Not comparable
SimpleQASource 31%Not comparable
Artificial Analysis Intelligence IndexSource 14.2%Not comparable
AA-GPQA DiamondSource 75.7%Not comparable
AA-HLESource 10.2%Not comparable
AA-Omniscience IndexSource -51.6%Not comparable
AA-Omniscience AccuracySource 17.1%Not comparable
AA-Omniscience Hallucination RateSource 82.9%Not comparable
Math
BenchmarkMAI-Thinking-1Nemotron 3 Nano 30BResult
AIME 2025Source 97%Not comparable
AIME26Source 94.5%Not comparable
HMMT Feb 2026Source 84.9%Not comparable
Inst. Following
BenchmarkMAI-Thinking-1Nemotron 3 Nano 30BResult
IFBenchSource 85%Not comparable
AA-IFBenchSource 71.1%Not comparable
Frequently Asked Questions (3)

Can I compare MAI-Thinking-1 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 MAI-Thinking-1 and Nemotron 3 Nano 30B today?

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 23, 2026

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