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IBM Granite 4.2 30B vs LongCat-Flash-Chat

IBM Granite 4.2 30B and LongCat-Flash-Chat are closely matched at 24.0 and 20.1 on the LLM Stats Score.

IBM · Meituan · Updated for 2026

Which is better?

IBM Granite 4.2 30B and LongCat-Flash-Chat are closely matched on the overall LLM Stats Score at 24.0 and 20.1.

In the 4 individual benchmarks reported for both models, LongCat-Flash-Chat wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose IBM Granite 4.2 30B

  • you want the most recent training data — it shipped Aug 2026

Choose LongCat-Flash-Chat

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results

At a glance

The differences that matter most.

IBM Granite 4.2 30B
IBM
LongCat-Flash-Chat
Meituan
Core performance indexes
LLM Stats Score
24.0
#156
20.1
#183
Reasoning
21.8
#165
20.0
#179
Coding
9.6
#159
12.6
#132
Agents
7.9
#124
9.4
#115
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
IBM Granite 4.2 30B
LongCat-Flash-Chat
Math
25.6#103
19.2#161
Tool use
10.6#116
9.7#123
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 16 for LongCat-Flash-Chat

4 shared

IBM Granite 4.2 30B outperforms in 1 benchmarks (AIME 2025), while LongCat-Flash-Chat is better at 3 benchmarks (GPQA, MMLU-Pro, SWE-Bench Verified).

LongCat-Flash-Chat shows notably better performance in the majority of benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

530.0B diff

LongCat-Flash-Chat has 530.0B more parameters than IBM Granite 4.2 30B, making it 1766.7% larger.

IBM
IBM Granite 4.2 30B
30.0Bparameters
Meituan
LongCat-Flash-Chat
560.0Bparameters
30.0B
IBM Granite 4.2 30B
560.0B
LongCat-Flash-Chat

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Chat specifies input context (128,000 tokens). Only LongCat-Flash-Chat specifies output context (128,000 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

IBM Granite 4.2 30B is licensed under Apache 2.0, while LongCat-Flash-Chat uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

IBM Granite 4.2 30B

Apache 2.0

Open weights

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while LongCat-Flash-Chat was released on 2025-08-29.

IBM Granite 4.2 30B is 12 months newer than LongCat-Flash-Chat.

IBM Granite 4.2 30B

Aug 25, 2026

5 days ago

12mo newer
LongCat-Flash-Chat

Aug 29, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against IBM Granite 4.2 30B and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
LongCat-Flash-Chat
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs LongCat-Flash-Chat.

Which is better, IBM Granite 4.2 30B or LongCat-Flash-Chat?

IBM Granite 4.2 30B and LongCat-Flash-Chat are closely matched on the LLM Stats Score at 24.0 and 20.1. IBM Granite 4.2 30B is made by IBM and LongCat-Flash-Chat is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does IBM Granite 4.2 30B compare to LongCat-Flash-Chat in benchmarks?

IBM Granite 4.2 30B scores RULER 64k: 90.0%, AIME 2025: 89.2%, HMMT25: 89.2%, RULER 128k: 81.4%, MMLU-Pro: 77.6%. LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.

What are the context window sizes for IBM Granite 4.2 30B and LongCat-Flash-Chat?

IBM Granite 4.2 30B supports an unknown number of tokens and LongCat-Flash-Chat supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between IBM Granite 4.2 30B and LongCat-Flash-Chat?

Key differences include LLM Stats Score (24.0 vs 20.1), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and LongCat-Flash-Chat?

IBM Granite 4.2 30B is developed by IBM and LongCat-Flash-Chat is developed by Meituan.

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