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DeepSeek-V4.1-Flash-1017 vs Gemma 3n E4B Instructed LiteRT Preview

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to -5.6.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.2 to -5.6, ranking #15 overall.

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

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.2 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Gemma 3n E4B Instructed LiteRT Preview

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Gemma 3n E4B Instructed LiteRT Preview
Google
Core performance indexes
LLM Stats Score
51.2
#15
-5.6
#382
Reasoning
48.8
#18
-6.4
#377
Coding
39.3
#14
-0.2
#265
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash-1017
Gemma 3n E4B Instructed LiteRT Preview
Math
31.8#69
-1.3#315
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 28 for Gemma 3n E4B Instructed LiteRT Preview

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Gemma 3n E4B Instructed LiteRT Previewdon'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

Model Size

Parameter count comparison

761.3B diff

DeepSeek-V4.1-Flash-1017 has 761.3B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 39858.4% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Google
Gemma 3n E4B Instructed LiteRT Preview
1.9Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
1.9B
Gemma 3n E4B Instructed LiteRT Preview

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Google
Gemma 3n E4B Instructed LiteRT Preview
Input- tokens
Output- tokens
Wed Oct 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Gemma 3n E4B Instructed LiteRT Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Gemma 3n E4B Instructed LiteRT Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Gemma 3n E4B Instructed LiteRT Preview uses Gemma.

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

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Gemma 3n E4B Instructed LiteRT Preview

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Gemma 3n E4B Instructed LiteRT Preview was released on 2025-05-20.

DeepSeek-V4.1-Flash-1017 is 17 months newer than Gemma 3n E4B Instructed LiteRT Preview.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

1 weeks ago

1.4yr newer
Gemma 3n E4B Instructed LiteRT Preview

May 20, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed LiteRT Preview has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed LiteRT Preview's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

Gemma 3n E4B Instructed LiteRT Preview

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Gemma 3n E4B Instructed LiteRT Preview side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Gemma 3n E4B Instructed LiteRT Preview
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Gemma 3n E4B Instructed LiteRT Preview.

Which is better, DeepSeek-V4.1-Flash-1017 or Gemma 3n E4B Instructed LiteRT Preview?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to -5.6. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Gemma 3n E4B Instructed LiteRT Preview 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-V4.1-Flash-1017 compare to Gemma 3n E4B Instructed LiteRT Preview in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Gemma 3n E4B Instructed LiteRT Preview scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, HumanEval: 75.0%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Gemma 3n E4B Instructed LiteRT Preview?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Gemma 3n E4B Instructed LiteRT Preview 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-V4.1-Flash-1017 and Gemma 3n E4B Instructed LiteRT Preview?

Key differences include LLM Stats Score (51.2 vs -5.6), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Gemma 3n E4B Instructed LiteRT Preview?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Gemma 3n E4B Instructed LiteRT Preview is developed by Google.

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