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IBM Granite 4.2 30B vs Kimi K3

Kimi K3 leads the LLM Stats Score 54.6 to 24.0.

IBM · Moonshot AI · Updated for 2026

Which is better?

Kimi K3 leads the overall LLM Stats Score 54.6 to 24.0, ranking #5 overall.

In the 2 individual benchmarks reported for both models, Kimi K3 wins 2; 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 Kimi K3

  • overall performance matters — it scores 54.6 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

At a glance

The differences that matter most.

Core performance indexes
24.0
#156
54.6
#5
21.8
#165
53.3
#4
9.6
#159
45.0
#4
7.9
#124
40.3
#3
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$3.00 / M
Output price
— / M
$15.00 / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
IBM Granite 4.2 30B
Kimi K3
25.6#103
40.9#10
10.6#116
36.1#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 31 for Kimi K3

2 shared

IBM Granite 4.2 30B outperforms in 0 benchmarks, while Kimi K3 is better at 2 benchmarks (GPQA, Terminal-Bench 2.1).

Kimi K3 significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2770.0B diff

Kimi K3 has 2770.0B more parameters than IBM Granite 4.2 30B, making it 9233.3% larger.

IBM
IBM Granite 4.2 30B
30.0Bparameters
Moonshot AI
Kimi K3
2.8Tparameters
30.0B
IBM Granite 4.2 30B
2800.0B
Kimi K3

Context Window

Maximum input and output token capacity

Only Kimi K3 specifies input context (1,048,576 tokens). Only Kimi K3 specifies output context (1,048,576 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Moonshot AI
Kimi K3
Input1,048,576 tokens
Output1,048,576 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K3 supports multimodal inputs, whereas IBM Granite 4.2 30B does not.

Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

IBM Granite 4.2 30B

Text
Images
Audio
Video

Kimi K3

Text
Images
Audio
Video

License

Usage and distribution terms

IBM Granite 4.2 30B is licensed under Apache 2.0, while Kimi K3 uses Kimi K3 License.

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

Kimi K3

Kimi K3 License

Open weights

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while Kimi K3 was released on 2026-07-16.

IBM Granite 4.2 30B is 1 month newer than Kimi K3.

IBM Granite 4.2 30B

Aug 25, 2026

5 days ago

1mo newer
Kimi K3

Jul 16, 2026

1 months 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 Kimi K3 side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
Kimi K3
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs Kimi K3.

Which is better, IBM Granite 4.2 30B or Kimi K3?

Kimi K3 leads the LLM Stats Score 54.6 to 24.0. IBM Granite 4.2 30B is made by IBM and Kimi K3 is made by Moonshot AI. 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 Kimi K3 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%. Kimi K3 scores MathVision: 97.8%, DeepSearchQA: 95.0%, GPQA: 93.5%, CharXiv-R: 91.3%, BrowseComp: 91.2%.

What are the context window sizes for IBM Granite 4.2 30B and Kimi K3?

IBM Granite 4.2 30B supports an unknown number of tokens and Kimi K3 supports 1.0M 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 Kimi K3?

Key differences include LLM Stats Score (24.0 vs 54.6), multimodal support (no vs yes), licensing (Apache 2.0 vs Kimi K3 License). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and Kimi K3?

IBM Granite 4.2 30B is developed by IBM and Kimi K3 is developed by Moonshot AI.