Model
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Granite 3.2 8B Instruct

OPEN
IBM · Granite 3.2 family · released Feb 26, 2025

Adds a toggleable 'thinking' chain-of-thought mode plus inference-scaling techniques that let it rival much larger models on math reasoning.

ReasoningCodingVisionFunction callingTool useAgentic
705.8
Elo · rank #265
Parameters
8.1B
Active params
8.1B (dense)
Context
128K tokens
Architecture
Dense decoder-only transformer with toggleable chain-of-thought (thinking=True/False)
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
AlpacaEvalHuman preference61.2%#12
best: Tülu 2+DPO 70B · 95.1%
Arena-HardHuman preference55.3%#40
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
BIG-Bench HardReasoning64.8%#73
best: ERNIE 4.5 300B-A47B · 94.3%
DROPReasoning50.95#54
best: Hunyuan-T1 · 93.1
GSM8KMath81.7%#73
best: Llama 3.1 405B · 96.8%
HumanEval+Coding85.7%#10
best: Mistral Small 3.2 (24B) · 92.9%
HumanEvalCoding89.3%#21
best: Claude Opus 4.5 · 99.4%
IFEvalReasoning74.3%#107
best: Gemma 4 26B A4B · 98.5%
MMLUKnowledge66.8%#169
best: OpenAI o3 · 92.9%
TruthfulQAKnowledge66.9%#8
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 3.2 family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)