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DeepSeek-V4-Pro-0813 vs Gemini 4 Argon

DeepSeek-V4-Pro-0813 and Gemini 4 Argon are closely matched at 50.6 and 55.1 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Gemini 4 Argon are closely matched on the overall LLM Stats Score at 50.6 and 55.1.

In the 2 individual benchmarks reported for both models, Gemini 4 Argon 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 DeepSeek-V4-Pro-0813

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

Choose Gemini 4 Argon

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Gemini 4 Argon
Google
Core performance indexes
LLM Stats Score
50.6
#18
55.1
#4
Reasoning
48.5
#19
52.4
#7
Coding
38.7
#19
44.1
#4
Agents
35.4
#20
40.5
#4
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$1.30 / M
— / M
Output price
$2.60 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Pro-0813
Gemini 4 Argon
Tool use
27.3#25
30.6#6
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 19 for Gemini 4 Argon

2 shared

DeepSeek-V4-Pro-0813 outperforms in 0 benchmarks, while Gemini 4 Argon is better at 2 benchmarks (Agents' Last Exam, AutomationBench).

Gemini 4 Argon significantly outperforms across most benchmarks.

Sun Oct 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output1,048,576 tokens
Google
Gemini 4 Argon
Input- tokens
Output- tokens
Sun Oct 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

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

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

Gemini 4 Argon

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 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-V4-Pro-0813

MIT

Open weights

Gemini 4 Argon

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Gemini 4 Argon was released on 2026-09-30.

Gemini 4 Argon is 2 months newer than DeepSeek-V4-Pro-0813.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 months ago

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1mo 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-V4-Pro-0813 and Gemini 4 Argon side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Gemini 4 Argon
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Gemini 4 Argon.

Which is better, DeepSeek-V4-Pro-0813 or Gemini 4 Argon?

DeepSeek-V4-Pro-0813 and Gemini 4 Argon are closely matched on the LLM Stats Score at 50.6 and 55.1. DeepSeek-V4-Pro-0813 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-V4-Pro-0813 compare to Gemini 4 Argon in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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 context window sizes for DeepSeek-V4-Pro-0813 and Gemini 4 Argon?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and Gemini 4 Argon supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Pro-0813 and Gemini 4 Argon?

Key differences include LLM Stats Score (50.6 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-V4-Pro-0813 and Gemini 4 Argon?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Gemini 4 Argon is developed by Google.

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