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DeepSeek-V3.2-Exp vs Gemini 4 Argon

Gemini 4 Argon leads the LLM Stats Score 55.1 to 27.7. DeepSeek-V3.2-Exp is 13.1x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 27.7, ranking #4 overall.

On price, DeepSeek-V3.2-Exp is roughly 13.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 4 Argon also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek-V3.2-Exp

  • cost matters — it's about 13.1x cheaper per token
  • 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 process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-V3.2-Exp
DeepSeek
Gemini 4 Argon
Google
Core performance indexes
LLM Stats Score
27.7
#160
55.1
#4
Reasoning
27.6
#156
53.2
#6
Coding
17.1
#143
42.5
#7
Agents
5.6
#166
41.2
#4
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.27 / M
$2.00 / M
Output price
$0.41 / M
$10.00 / M
Context window
163,840
1,048,576

Individual benchmarks

14 reported for DeepSeek-V3.2-Exp · 19 for Gemini 4 Argon

No common benchmarks found

DeepSeek-V3.2-Exp 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

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 7.4x cheaper than Gemini 4 Argon ($2.00/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 24.4x cheaper than Gemini 4 Argon ($10.00/1M tokens).

In conclusion, Gemini 4 Argon is more expensive than DeepSeek-V3.2-Exp.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Google
Gemini 4 Argon
Input tokens$2.00
Output tokens$10.00
Best providerGoogle
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Gemini 4 Argon accepts 1,048,576 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

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

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Gemini 4 Argon

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp 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-V3.2-Exp

MIT

Open weights

Gemini 4 Argon

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Gemini 4 Argon was released on 2026-09-30.

Gemini 4 Argon is 12 months newer than DeepSeek-V3.2-Exp.

DeepSeek-V3.2-Exp

Sep 29, 2025

1.1 years ago

Gemini 4 Argon

Sep 30, 2026

2 weeks ago

1.0yr 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

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. Gemini 4 Argon is available from Google.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

Gemini 4 Argon

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Gemini 4 Argon side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Gemini 4 Argon
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Exp vs Gemini 4 Argon.

Which is better, DeepSeek-V3.2-Exp or Gemini 4 Argon?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 27.7. DeepSeek-V3.2-Exp 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-V3.2-Exp compare to Gemini 4 Argon in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. 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%.

Is DeepSeek-V3.2-Exp cheaper than Gemini 4 Argon?

DeepSeek-V3.2-Exp is 7.4x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Gemini 4 Argon costs $2.00/M input and $10.00/M output via google.

What are the context window sizes for DeepSeek-V3.2-Exp and Gemini 4 Argon?

DeepSeek-V3.2-Exp supports 164K tokens and Gemini 4 Argon 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 DeepSeek-V3.2-Exp and Gemini 4 Argon?

Key differences include LLM Stats Score (27.7 vs 55.1), context window (164K vs 1.0M), input pricing ($0.27 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Gemini 4 Argon?

DeepSeek-V3.2-Exp is developed by DeepSeek and Gemini 4 Argon is developed by Google.

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