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DeepSeek-V4.1-Flash-1017 vs Gemini Diffusion

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 0.4.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.2 to 0.4, 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
  • you need open weights you can self-host or fine-tune

Choose Gemini Diffusion

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Gemini Diffusion
Google
Core performance indexes
LLM Stats Score
51.2
#15
0.4
#349
Reasoning
48.8
#18
0.4
#341
Coding
39.3
#14
2.5
#247
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 10 for Gemini Diffusion

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Gemini Diffusiondon'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-V4.1-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
Gemini Diffusion
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas Gemini Diffusion does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Gemini Diffusion

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Gemini Diffusion uses a proprietary license.

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

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Gemini Diffusion

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Gemini Diffusion was released on 2025-05-20.

DeepSeek-V4.1-Flash-1017 is 17 months newer than Gemini Diffusion.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

5 days ago

1.4yr newer
Gemini Diffusion

May 20, 2025

1.4 years ago

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-V4.1-Flash-1017 and Gemini Diffusion side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Gemini Diffusion
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Gemini Diffusion.

Which is better, DeepSeek-V4.1-Flash-1017 or Gemini Diffusion?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 0.4. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Gemini Diffusion 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 Gemini Diffusion 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%. Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Gemini Diffusion?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Gemini Diffusion 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 Gemini Diffusion?

Key differences include LLM Stats Score (51.2 vs 0.4), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Gemini Diffusion?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Gemini Diffusion is developed by Google.

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