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Model comparison

Granite-4.0-350M vs Ministral 3 14B

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.
38.32/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: Granite-4.0-350M #181 (Estimated); Ministral 3 14B #187 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Granite-4.0-350M and Ministral 3 14B share 0 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to Granite-4.0-350M; 0 to Ministral 3 14B.

Updated July 23, 2026
Shared results
0
Granite-4.0-350M only
11
Ministral 3 14B only
0
Comparable categories
0 / 8

Benchmark data for Granite-4.0-350M and Ministral 3 14B 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 Granite-4.0-350M. Ministral 3 14B has the larger context window at 128K, compared with 32K for Granite-4.0-350M.

Operational comparison

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

MetricGranite-4.0-350MMinistral 3 14BComparison
Input / output priceUSD per 1M tokensGranite-4.0-350M$0 input / $0 outputMinistral 3 14B$0.2 input / $0.2 outputGranite-4.0-350M has the lower combined listed price.
Generation speedtokens per secondGranite-4.0-350MNot availableMinistral 3 14B110 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGranite-4.0-350MNot availableMinistral 3 14B0.60 sA complete latency comparison is not available.
Context windowmaximum listed tokensGranite-4.0-350M32KMinistral 3 14B128KMinistral 3 14B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGranite-4.0-350MMinistral 3 14BResult
τ²-bench resultsSource 13.2%Not comparable
Coding
BenchmarkGranite-4.0-350MMinistral 3 14BResult
AA-SciCodeSource 0.9%Not comparable
Reasoning
BenchmarkGranite-4.0-350MMinistral 3 14BResult
AA-LCRSource 0.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGranite-4.0-350MMinistral 3 14BResult
Artificial Analysis Intelligence IndexSource 1.0%Not comparable
AA-GPQA DiamondSource 20.3%Not comparable
AA-HLESource 5.7%Not comparable
AA-Omniscience IndexSource -72.1%Not comparable
AA-Omniscience AccuracySource 3.2%Not comparable
AA-Omniscience Hallucination RateSource 77.8%Not comparable
Inst. Following
BenchmarkGranite-4.0-350MMinistral 3 14BResult
AA-IFBenchSource 16.8%Not comparable
Frequently Asked Questions (3)

Can I compare Granite-4.0-350M and Ministral 3 14B 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 Granite-4.0-350M and Ministral 3 14B today?

Granite-4.0-350M: $0.00 input / $0.00 output per 1M tokens Ministral 3 14B: $0.20 input / $0.20 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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