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Granite 4.2 30B

IBM開源權重Apache 2.0 · 商用許可

描述

IBM Granite 4.2 30B is the flagship dense decoder-only reasoning LLM in the Granite 4.2 family. It supports native think, non-think, and low-effort modes, tool calling, and a 128K native context window with extension to 512K. The 8B and 30B sizes received additional agentic reinforcement learning for multi-step tool use. Open weights on Hugging Face under Apache 2.0. Text-only (not multimodal).

發布日期
2026-08-25
參數規模
30.0B
上下文長度
—
支援模態
text

能力雷達圖

12
general
31
coding
64
reasoning
44
science
50
agents
0
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜59
48.0
LS
程式碼能力榜262
43.0
AA
通用能力榜493
18.0
AA
科學能力247
44.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

TAU3-Bench62.0%自報

General

Arena-Hard v267.9%自報

Instruction Following

IFBench77.2%自報

Language

MMLU-Pro77.6%自報

Long Context

RULER 64k90.0%自報
RULER 128k81.4%自報

Math

HMMT2589.2%自報
AIME 202589.2%自報

Reasoning

LiveCodeBench v675.8%自報
GPQANYU + Cohere + Anthropic (2023)66.4%自報
SWE-Bench Verified57.0%自報
ProfBench42.9%自報
SWE-bench Multilingual41.9%自報
Bird-SQL (dev)41.9%自報
SciCode38.8%自報
SWE-Bench ProPrinceton NLP (2024)33.3%自報
Terminal-Bench 2.129.2%自報

Tool Calling

BFCL-V461.4%自報

AA 評測指數

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
64.4
Lcr(Artificial Analysis)
49.0
Scicode(UIUC + Argonne National Lab (2024))
37.8
Coding Index(Artificial Analysis)
29.9
Terminalbench V2 1
26.6
Tau Banking
14.4
Intelligence Index(Artificial Analysis)
12.7
Hle(Center for AI Safety + Scale AI (2025))
11.2
Terminalbench V4 0
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Long Context
90
Instruction Following
80
Language
80
Legal
80
Finance
80
Healthcare
80
Math
70
Creativity
70
Writing
70
Reasoning
60
Frontend Development
60
General
60
Physics
50
Agents
50
Biology
50
Chemistry
50
Tool Calling
50
Knowledge
40
Code
40

定價

輸入價格$0.16 / 1M tokens
輸出價格$0.65 / 1M tokens
混合價格(3:1)$0.282 / 1M tokens

速度

Tokens/秒38.9
首Token延遲0.38s
首回答延遲51.85s

供應商價格排行

供應商價格排行

2 個供應商

最便宜: DeepInfra最貴: IBM
供應商輸入輸出
1DeepInfra最便宜
$0
$0
2IBM主要
$0.16
$0.65

比較該模型在不同 API 供應商之間的定價。

外部連結