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DeepSeek-V3.2-Speciale vs Gemini 4 Argon

Gemini 4 Argon leads the LLM Stats Score 55.1 to 33.5. DeepSeek-V3.2-Speciale is 12.7x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 33.5, ranking #4 overall.

On price, DeepSeek-V3.2-Speciale is roughly 12.7x 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-Speciale

  • cost matters — it's about 12.7x 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-Speciale
DeepSeek
Gemini 4 Argon
Google
Core performance indexes
LLM Stats Score
33.5
#118
55.1
#4
Reasoning
32.1
#125
53.2
#6
Coding
18.5
#131
42.5
#7
Agents
10.8
#136
41.2
#4
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.28 / M
$2.00 / M
Output price
$0.42 / M
$10.00 / M
Context window
131,072
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.2-Speciale
Gemini 4 Argon
Tool use
10.2#141
32.3#4
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for DeepSeek-V3.2-Speciale · 19 for Gemini 4 Argon

No common benchmarks found

DeepSeek-V3.2-Speciale 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-Speciale costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 7.1x cheaper than Gemini 4 Argon ($2.00/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 23.8x cheaper than Gemini 4 Argon ($10.00/1M tokens).

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

* 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-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
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-Speciale's 131,072 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while DeepSeek-V3.2-Speciale is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 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-Speciale 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-Speciale

Text
Images
Audio
Video

Gemini 4 Argon

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale 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-Speciale

MIT

Open weights

Gemini 4 Argon

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Gemini 4 Argon was released on 2026-09-30.

Gemini 4 Argon is 10 months newer than DeepSeek-V3.2-Speciale.

DeepSeek-V3.2-Speciale

Dec 1, 2025

10 months ago

Gemini 4 Argon

Sep 30, 2026

2 weeks ago

10mo 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-Speciale is available from DeepSeek. Gemini 4 Argon is available from Google.

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

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-Speciale and Gemini 4 Argon side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemini 4 Argon leads the LLM Stats Score 55.1 to 33.5. DeepSeek-V3.2-Speciale 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-Speciale compare to Gemini 4 Argon in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. 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%.

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

DeepSeek-V3.2-Speciale is 7.1x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. 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-Speciale and Gemini 4 Argon?

DeepSeek-V3.2-Speciale supports 131K 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-Speciale and Gemini 4 Argon?

Key differences include LLM Stats Score (33.5 vs 55.1), context window (131K vs 1.0M), input pricing ($0.28 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-Speciale and Gemini 4 Argon?

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

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