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Gemma 2 9B vs Kimi K3.1 Pro

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to -5.3.

Google · Moonshot AI · Updated for 2026

Which is better?

Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to -5.3, ranking #5 overall.

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

Choose Gemma 2 9B

  • you need open weights you can self-host or fine-tune

Choose Kimi K3.1 Pro

  • overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
-5.3
#391
55.5
#5
-5.6
#384
54.3
#6
-11.1
#299
42.7
#9
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 9B
Kimi K3.1 Pro
-3.9#335
38.6#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 30 for Kimi K3.1 Pro

No common benchmarks found

Gemma 2 9B and Kimi K3.1 Prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

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

Google
Gemma 2 9B
Input- tokens
Output- tokens
Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K3.1 Pro supports multimodal inputs, whereas Gemma 2 9B does not.

Kimi K3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Kimi K3.1 Pro

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Kimi K3.1 Pro was released on 2026-10-23.

Kimi K3.1 Pro is 28 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.3 years ago

Kimi K3.1 Pro

Oct 23, 2026

6 days ago

2.3yr newer

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?

Judge for yourself.

Run your own prompts against Gemma 2 9B and Kimi K3.1 Pro side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Kimi K3.1 Pro
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Kimi K3.1 Pro.

Which is better, Gemma 2 9B or Kimi K3.1 Pro?

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to -5.3. Gemma 2 9B is made by Google and Kimi K3.1 Pro 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 Gemma 2 9B compare to Kimi K3.1 Pro in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Kimi K3.1 Pro scores BabyVision: 95.4%, GPQA: 94.2%, BenchCAD (with Python tool): 92.7%, BrowseComp: 92.1%, Chartography: 90.2%.

What are the context window sizes for Gemma 2 9B and Kimi K3.1 Pro?

Gemma 2 9B supports an unknown number of tokens and Kimi K3.1 Pro 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 Gemma 2 9B and Kimi K3.1 Pro?

Key differences include LLM Stats Score (-5.3 vs 55.5), multimodal support (no vs yes), licensing (Gemma vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Kimi K3.1 Pro?

Gemma 2 9B is developed by Google and Kimi K3.1 Pro is developed by Moonshot AI.