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Artificial Analysis data
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IBM

Granite 4.0 H Small

Granite 4.0 H Small is a IBM language-model profile in the Easy Benchmarks snapshot. Use this page to compare its measured Artificial Analysis scores, output speed, time to first token, pricing, and relative ranking against other models in the local catalog.

IBM Granite models

Operational Metrics

Output Speed238.9 tok/s
First Token8.67s
Blended Price$0.107/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseSep 22, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: Speed

Rank #12 across 293 models.

238.9 tok/s

Strength: Input $

Rank #21 across 325 models.

$0.060/M

Strength: Blended $

Rank #23 across 325 models.

$0.107/M

Watch Area: HLE

Rank #438 across 474 models.

3.7%

Watch Area: TTFT

Rank #255 across 293 models.

8.67s

Watch Area: Math

Rank #224 across 269 models.

13.7

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall10.8#401
Artificial Analysis Coding Indexcoding8.5#334
Artificial Analysis Math Indexmath13.7#224
MMLU-Proreasoning62.4%#262
GPQA
reasoning
41.6%
#382
Humanity's Last Examreasoning3.7%#438
LiveCodeBenchcoding25.1%#253
SciCodecoding, reasoning20.9%#356
Output Speedspeed238.9 tok/s#12
Time to First Tokenspeed8.67s#255
Blended Pricecost$0.107/M#23
Input Pricecost$0.060/M#21
Output Pricecost$0.250/M#31
Value Indexcost, overall100.9#44