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DeepSeek-V4-Flash-Max vs Gemini 4 Argon

Gemini 4 Argon leads the LLM Stats Score 55.1 to 38.9.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 38.9, ranking #4 overall.

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

Choose DeepSeek-V4-Flash-Max

  • 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-V4-Flash-Max
DeepSeek
Gemini 4 Argon
Google
Core performance indexes
LLM Stats Score
38.9
#70
55.1
#4
Reasoning
39.6
#67
52.4
#7
Coding
28.3
#68
44.1
#4
Agents
17.9
#83
40.5
#4
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.09 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4-Flash-Max
Gemini 4 Argon
Tool use
16.6#86
30.6#6
Long context
11.5#67
30.6#3
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for DeepSeek-V4-Flash-Max · 19 for Gemini 4 Argon

No common benchmarks found

DeepSeek-V4-Flash-Max 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

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output1,048,576 tokens
Google
Gemini 4 Argon
Input- tokens
Output- tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.

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

DeepSeek-V4-Flash-Max

Text
Images
Audio
Video

Gemini 4 Argon

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-Max 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-Flash-Max

MIT

Open weights

Gemini 4 Argon

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Max was released on 2026-04-23, while Gemini 4 Argon was released on 2026-09-30.

Gemini 4 Argon is 5 months newer than DeepSeek-V4-Flash-Max.

DeepSeek-V4-Flash-Max

Apr 23, 2026

5 months ago

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

5mo 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-Flash-Max and Gemini 4 Argon side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Max
✓ Preferred
Gemini 4 Argon
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Max vs Gemini 4 Argon.

Which is better, DeepSeek-V4-Flash-Max or Gemini 4 Argon?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 38.9. DeepSeek-V4-Flash-Max 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-Flash-Max compare to Gemini 4 Argon in benchmarks?

DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%. 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-Flash-Max and Gemini 4 Argon?

DeepSeek-V4-Flash-Max 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-Flash-Max and Gemini 4 Argon?

Key differences include LLM Stats Score (38.9 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-Flash-Max and Gemini 4 Argon?

DeepSeek-V4-Flash-Max is developed by DeepSeek and Gemini 4 Argon is developed by Google.

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