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AITier

Granite 3.3 8B (Non-reasoning)

IBMOpen WeightApache 2.0 · Commercial OK

Description

Granite-3.3-8B-Base is a decoder-only language model with a 128K token context window. It improves upon Granite-3.1-8B-Base by adding support for Fill-in-the-Middle (FIM) using specialized tokens, enabling the model to generate content conditioned on both prefix and suffix. This makes it well-suited for code completion tasks

Release Date
2025-04-16
Parameters
8.2B
Context Length
—
Modalities
text

Capability Radar

17
general
13
coding
18
reasoning
25
science
17
agents
0
multimodal

Rankings

Domain#RankScoreSource
Code Ranking611
7.0
AA
General Ranking621
16.0
AA
Science598
17.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)74.8%SR

General

TriviaQA78.2%SR
TruthfulQA66.9%SR
MMLU65.5%SR
AlpacaEval 2.062.7%SR
Arena Hard57.6%SR
PopQA26.2%SR

Math

AIME 202481.2%SR
GSM8k80.9%SR
MATH-50069.0%SR

Reasoning

HumanEvalOpenAI (2021)89.7%SR
HumanEval+86.1%SR
HellaSwagAI2 (2019)80.1%SR
Winogrande74.4%SR
BIG-Bench Hard69.1%SR
DROP59.4%SR
ARC-C50.8%SR
AGIEval49.3%SR
NQ36.5%SR

Safety

AttaQ88.5%SR

AA Evaluation Indices

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
66.5
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
46.8
Gpqa(NYU + Cohere + Anthropic (2023))
33.8
Ifbench(Google Research (2023))
22.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))
12.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
10.5
Math Index(Artificial Analysis)
6.7
Aime 25(MAA (Mathematical Association of America))
6.7
Intelligence Index(Artificial Analysis)
4.9
Aime(MAA (Mathematical Association of America))
4.7
Hle(Center for AI Safety + Scale AI (2025))
4.2
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

LLM Stats Category Scores

(LLM Stats (zeroeval))
Safety
90
Code
90
Chat
70
Instruction Following
70
Language
70
Structured Output
70
General
70
Legal
60
Math
60
Reasoning
60
Finance
60
Healthcare
60
Creativity
60
Writing
60

Pricing

Input Price$0.03 / 1M tokens
Output Price$0.25 / 1M tokens
Blended Price (3:1)$0.085 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

1 providers

ProviderInputOutput
1IBMPRIMARY
$0.03
$0.25

Compare pricing across different API providers for this model.

External Sources

LLM StatsArtificial Analysis