The AI arena is free today

Open Superagent

Gemini 4 Argon vs Inkling-Small

Gemini 4 Argon leads the LLM Stats Score 55.1 to 38.1.

Google · Thinking Machines Lab · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 38.1, ranking #4 overall.

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

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Inkling-Small

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

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Inkling-Small
Thinking Machines Lab
Core performance indexes
LLM Stats Score
55.1
#4
38.1
#77
Reasoning
52.4
#7
37.7
#77
Coding
44.1
#4
28.5
#67
Agents
40.5
#4
22.7
#70
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 4 Argon
Inkling-Small
Vision
36.8#8
20.1#80
Tool use
30.6#6
19.0#70
Multimodal
36.9#8
17.4#86
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 24 for Inkling-Small

No common benchmarks found

Gemini 4 Argon and Inkling-Smalldon'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 Inkling-Small specifies input context (256,000 tokens). Only Inkling-Small specifies output context (256,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
Thinking Machines Lab
Inkling-Small
Input256,000 tokens
Output256,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Inkling-Small support multimodal inputs.

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

Gemini 4 Argon

Text
Images
Audio
Video

Inkling-Small

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Inkling-Small uses Apache 2.0.

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

Gemini 4 Argon

Proprietary

Closed source

Inkling-Small

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Inkling-Small was released on 2026-07-30.

Gemini 4 Argon is 2 months newer than Inkling-Small.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2mo newer
Inkling-Small

Jul 30, 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 Inkling-Small side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Inkling-Small
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Inkling-Small.

Which is better, Gemini 4 Argon or Inkling-Small?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 38.1. Gemini 4 Argon is made by Google and Inkling-Small is made by Thinking Machines Lab. 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 Inkling-Small 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%. Inkling-Small scores AIME 2026: 95.5%, VoiceBench Avg: 90.1%, GPQA: 89.5%, Global-MMLU-Lite: 86.7%, ARC-AGI: 84.0%.

What are the context window sizes for Gemini 4 Argon and Inkling-Small?

Gemini 4 Argon supports an unknown number of tokens and Inkling-Small supports 256K 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 Inkling-Small?

Key differences include LLM Stats Score (55.1 vs 38.1), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Inkling-Small?

Gemini 4 Argon is developed by Google and Inkling-Small is developed by Thinking Machines Lab.

Related comparisons