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Model comparison

Ministral 3 14B vs Nemotron Ultra 253B

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
43.58/100
0 category wins0 category wins

Public leaderboard positions: Ministral 3 14B #196 (Supported); Nemotron Ultra 253B #158 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Ministral 3 14B and Nemotron Ultra 253B share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Ministral 3 14B; 11 to Nemotron Ultra 253B.

Updated July 28, 2026
Shared results
0
Ministral 3 14B only
0
Nemotron Ultra 253B only
11
Comparable categories
0 / 8

Benchmark data for Ministral 3 14B and Nemotron Ultra 253B 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 does not have sourced benchmark coverage for Ministral 3 14B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Ministral 3 14B is priced at $0.20 input / $0.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron Ultra 253B. Ministral 3 14B has the larger context window at 128K, compared with 32K for Nemotron Ultra 253B.

Operational comparison

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

MetricMinistral 3 14BNemotron Ultra 253BComparison
Input / output priceUSD per 1M tokensMinistral 3 14B$0.2 input / $0.2 outputNemotron Ultra 253B$0 input / $0 outputNemotron Ultra 253B has the lower combined listed price.
Generation speedtokens per secondMinistral 3 14B110 tok/sNemotron Ultra 253BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMinistral 3 14B0.60 sNemotron Ultra 253BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensMinistral 3 14B128KNemotron Ultra 253B32KMinistral 3 14B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkMinistral 3 14BNemotron Ultra 253BResult
τ²-bench resultsSource 11.4%Not comparable
Coding
BenchmarkMinistral 3 14BNemotron Ultra 253BResult
AA-SciCodeSource 34.7%Not comparable
Reasoning
BenchmarkMinistral 3 14BNemotron Ultra 253BResult
AA-LCRSource 7.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkMinistral 3 14BNemotron Ultra 253BResult
Artificial Analysis Intelligence IndexSource 9.1%Not comparable
AA-GPQA DiamondSource 72.8%Not comparable
AA-HLESource 8.1%Not comparable
AA-Omniscience IndexSource -45.5%Not comparable
AA-Omniscience AccuracySource 19.9%Not comparable
AA-Omniscience Hallucination RateSource 81.7%Not comparable
Inst. Following
BenchmarkMinistral 3 14BNemotron Ultra 253BResult
AA-IFBenchSource 38.2%Not comparable
Frequently Asked Questions (3)

Can I compare Ministral 3 14B and Nemotron Ultra 253B 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 Ministral 3 14B and Nemotron Ultra 253B today?

Ministral 3 14B: $0.20 input / $0.20 output per 1M tokens Nemotron Ultra 253B: $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.

Related Comparisons

Last updated: July 28, 2026

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