Model
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Granite 3.3 8B Instruct

OPEN
IBM · Granite 3.3 family · released Apr 16, 2025

Adds fill-in-the-middle code generation and stronger math/symbolic reasoning; shipped alongside IBM's Granite Speech 3.3 8B speech-to-text model.

ReasoningCodingVisionFunction callingTool useAgentic
746.5
Elo · rank #260
Parameters
8.1B
Active params
8.1B (dense)
Context
128K tokens
Architecture
Dense decoder-only transformer with fill-in-the-middle code training and think/response tags
License
Apache 2.0
Languages
12+
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
AIMEMath8.1%#149
best: GPT-5.2 · 100.0%
AlpacaEvalHuman preference62.7%#11
best: Tülu 2+DPO 70B · 95.1%
Arena-HardHuman preference57.6%#39
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
BIG-Bench HardReasoning69.1%#61
best: ERNIE 4.5 300B-A47B · 94.3%
DROPReasoning59.36#51
best: Hunyuan-T1 · 93.1
GSM8KMath80.9%#79
best: Llama 3.1 405B · 96.8%
HumanEval+Coding86.1%#9
best: Mistral Small 3.2 (24B) · 92.9%
HumanEvalCoding89.7%#19
best: Claude Opus 4.5 · 99.4%
IFEvalReasoning74.8%#105
best: Gemma 4 26B A4B · 98.5%
MATH-500Math69.0%#98
best: GPT-5 · 99.4%
MMLUKnowledge65.5%#174
best: OpenAI o3 · 92.9%
TruthfulQAKnowledge66.9%#10
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
Run it locally
VRAM @ Q4
6 GB
VRAM @ FP16
16.2 GB
Fits on (Q4)
RTX 3060 12GBRTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Throughput data unavailable.
Quantizations
GGUF Q4_K_M · AWQ · GPTQ
Granite 3.3 family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)