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Model comparison

Granite-4.0-1B vs Holo3.1-9B

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.
No comparison
H Company
N/A
0 category wins0 category wins

Evidence parity. Granite-4.0-1B and Holo3.1-9B share 0 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to Granite-4.0-1B; 1 to Holo3.1-9B.

Updated July 21, 2026
Shared results
0
Granite-4.0-1B only
11
Holo3.1-9B only
1
Comparable categories
0 / 8

Benchmark data for Granite-4.0-1B and Holo3.1-9B 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.

Holo3.1-9B has the larger context window at 262K, compared with 128K for Granite-4.0-1B.

Operational comparison

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

MetricGranite-4.0-1BHolo3.1-9BComparison
Input / output priceUSD per 1M tokensGranite-4.0-1B$0 input / $0 outputHolo3.1-9B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondGranite-4.0-1BNot availableHolo3.1-9BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGranite-4.0-1BNot availableHolo3.1-9BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGranite-4.0-1B128KHolo3.1-9B262KHolo3.1-9B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGranite-4.0-1BHolo3.1-9BResult
τ²-bench resultsSource 22.8%Not comparable
AndroidWorldSource 71.0%Not comparable
Coding
BenchmarkGranite-4.0-1BHolo3.1-9BResult
AA-SciCodeSource 8.7%Not comparable
Reasoning
BenchmarkGranite-4.0-1BHolo3.1-9BResult
AA-LCRSource 4.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGranite-4.0-1BHolo3.1-9BResult
Artificial Analysis Intelligence IndexSource 2.1%Not comparable
AA-GPQA DiamondSource 28.1%Not comparable
AA-HLESource 5.1%Not comparable
AA-Omniscience IndexSource -81.8%Not comparable
AA-Omniscience AccuracySource 6.1%Not comparable
AA-Omniscience Hallucination RateSource 93.5%Not comparable
Inst. Following
BenchmarkGranite-4.0-1BHolo3.1-9BResult
AA-IFBenchSource 20.5%Not comparable
Frequently Asked Questions (3)

Can I compare Granite-4.0-1B and Holo3.1-9B 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-4.0-1B and Holo3.1-9B today?

Granite-4.0-1B: $0.00 input / $0.00 output per 1M tokens Holo3.1-9B: $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 21, 2026

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