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Gemini 4 Argon vs Kimi K3

Gemini 4 Argon and Kimi K3 are closely matched at 55.1 and 52.1 on the LLM Stats Score.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 4 Argon and Kimi K3 are closely matched on the overall LLM Stats Score at 55.1 and 52.1.

In the 3 individual benchmarks reported for both models, Gemini 4 Argon 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 Gemini 4 Argon

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Kimi K3

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

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Kimi K3
Moonshot AI
Core performance indexes
LLM Stats Score
55.1
#4
52.1
#12
Reasoning
52.4
#7
51.0
#10
Coding
44.1
#4
41.1
#9
Agents
40.5
#4
37.4
#13
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
— / M
$2.85 / M
Output price
— / M
$14.25 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 4 Argon
Kimi K3
Vision
36.8#8
35.9#11
Tool use
30.6#6
30.5#7
Multimodal
36.9#8
37.5#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 31 for Kimi K3

3 shared

Gemini 4 Argon outperforms in 3 benchmarks (AutomationBench, DeepSWE 1.1, PostTrainBench), while Kimi K3 is better at 0 benchmarks.

Gemini 4 Argon significantly outperforms across most benchmarks.

Mon Oct 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
Moonshot AI
Kimi K3
Input1,048,576 tokens
Output1,048,576 tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Kimi K3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 4 Argon

Text
Images
Audio
Video

Kimi K3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Kimi K3 uses Kimi K3 License.

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

Gemini 4 Argon

Proprietary

Closed source

Kimi K3

Kimi K3 License

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Kimi K3 was released on 2026-07-16.

Gemini 4 Argon is 3 months newer than Kimi K3.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2mo newer
Kimi K3

Jul 16, 2026

2 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?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Kimi K3 side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Kimi K3
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Kimi K3.

Which is better, Gemini 4 Argon or Kimi K3?

Gemini 4 Argon and Kimi K3 are closely matched on the LLM Stats Score at 55.1 and 52.1. Gemini 4 Argon is made by Google 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 Gemini 4 Argon compare to Kimi K3 in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. 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 Gemini 4 Argon and Kimi K3?

Gemini 4 Argon 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 Gemini 4 Argon and Kimi K3?

Key differences include LLM Stats Score (55.1 vs 52.1), licensing (Proprietary vs Kimi K3 License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Kimi K3?

Gemini 4 Argon is developed by Google and Kimi K3 is developed by Moonshot AI.

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