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IBM

Granite 4.2 30B

ReasoningOpen weightsHugging Face
Intelligence
12.7
Rank 356 of 746 measured models
Coding
29.9
Rank 185 of 298 measured models
Output speed
75.5 t/s
Rank 245 of 403 measured models
Price/1M
$0.282
Rank 205 of 659 measured models
Context window
131K
Rank 740 of 1202 measured models
Cost per task
$0.0717
Rank 43 of 193 measured models

Granite 4.2 30B scores 12.7 on the Artificial Analysis Intelligence Index, ranking 356th of 746 measured models. The closest models on this index are GPT-4.1 (12.7), Kimi K2 (12.7), and Qwen3 235B A22B 2507 (Reasoning) (12.7). At $0.282 per million tokens (3:1 input/output blended price), it is cheaper than GPT-4.1 ($3.50), Kimi K2 ($1.00), and Qwen3 235B A22B 2507 (Reasoning) ($0.747). With an output speed of 75.5 t/s, it is faster than Kimi K2 (54.1 t/s) and Qwen3 235B A22B 2507 (Reasoning) (43.9 t/s), slower than GPT-4.1 (155 t/s).

Artificial Analysis Indices
Intelligence12.7
Rank 356 of 746 measured models
Coding29.9
Rank 185 of 298 measured models
Agentic3.5
Rank 135 of 189 measured models
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Finance & Accounting10.6
Rank 183 of 220 measured models
Strategy & Ops5.0
Rank 200 of 220 measured models
Legal15.1
Rank 178 of 220 measured models
Engineering17.8
Rank 174 of 219 measured models
Economics22.5
Rank 178 of 227 measured models
Standard Benchmarks
GPQA Diamond64.4%
Rank 374 of 619 measured models
HLE11.2%
Rank 309 of 666 measured models
SciCode37.8%
Rank 191 of 233 measured models
AA-LCR49.0%
Rank 336 of 577 measured models
Terminal-Bench 2.126.6%
Rank 170 of 244 measured models
Terminal-Bench v40.0%
Rank 151 of 220 measured models
τ-Bench Banking14.4%
Rank 126 of 211 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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