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DeepSeek R1 Zero vs Gemini 4 Argon

Gemini 4 Argon leads the LLM Stats Score 55.1 to 16.0.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 16.0, ranking #4 overall.

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

Choose DeepSeek R1 Zero

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

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

At a glance

The differences that matter most.

DeepSeek R1 Zero
DeepSeek
Gemini 4 Argon
Google
Core performance indexes
LLM Stats Score
16.0
#242
55.1
#4
Reasoning
16.3
#232
52.4
#7
Coding
4.2
#223
44.1
#4
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

4 reported for DeepSeek R1 Zero · 19 for Gemini 4 Argon

No common benchmarks found

DeepSeek R1 Zero and Gemini 4 Argondon'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

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas DeepSeek R1 Zero does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Zero

Text
Images
Audio
Video

Gemini 4 Argon

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while Gemini 4 Argon uses a proprietary license.

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

DeepSeek R1 Zero

MIT

Open weights

Gemini 4 Argon

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Gemini 4 Argon was released on 2026-09-30.

Gemini 4 Argon is 21 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.7 years ago

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1.7yr 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 DeepSeek R1 Zero and Gemini 4 Argon side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
Gemini 4 Argon
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs Gemini 4 Argon.

Which is better, DeepSeek R1 Zero or Gemini 4 Argon?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 16.0. DeepSeek R1 Zero is made by DeepSeek and Gemini 4 Argon is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Zero compare to Gemini 4 Argon in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. 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%.

What are the main differences between DeepSeek R1 Zero and Gemini 4 Argon?

Key differences include LLM Stats Score (16.0 vs 55.1), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Gemini 4 Argon?

DeepSeek R1 Zero is developed by DeepSeek and Gemini 4 Argon is developed by Google.

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