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DeepSeek-V4.1-Flash-1017 vs Gemini 1.0 Pro

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -5.7. DeepSeek-V4.1-Flash-1017 is 1.4x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to -5.7, ranking #15 overall.

On price, DeepSeek-V4.1-Flash-1017 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.0 Pro

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Gemini 1.0 Pro
Google
Core performance indexes
LLM Stats Score
51.0
#15
-5.7
#381
Reasoning
48.6
#18
-8.3
#380
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.50 / M
Output price
$1.20 / M
$1.50 / M
Context window
1,048,576
32,760

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash-1017
Gemini 1.0 Pro
Math
31.8#67
-1.7#317
Vision
32.2#26
-8.7#225
Multimodal
35.0#14
-6.3#185
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 9 for Gemini 1.0 Pro

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Gemini 1.0 Prodon'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-V4.1-Flash-1017 costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 1.7x cheaper than Gemini 1.0 Pro ($0.50/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 1.3x cheaper than Gemini 1.0 Pro ($1.50/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than DeepSeek-V4.1-Flash-1017.*

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

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas Gemini 1.0 Pro 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 1.0 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Gemini 1.0 Pro 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 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Gemini 1.0 Pro was released on 2024-02-15.

DeepSeek-V4.1-Flash-1017 is 33 months newer than Gemini 1.0 Pro.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

2.7yr newer
Gemini 1.0 Pro

Feb 15, 2024

2.7 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

Gemini 1.0 Pro

Feb 2024

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Gemini 1.0 Pro is available from Google.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Gemini 1.0 Pro side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Gemini 1.0 Pro
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Gemini 1.0 Pro.

Which is better, DeepSeek-V4.1-Flash-1017 or Gemini 1.0 Pro?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -5.7. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Gemini 1.0 Pro 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 1.0 Pro 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 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Gemini 1.0 Pro?

DeepSeek-V4.1-Flash-1017 is 1.7x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Gemini 1.0 Pro?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Gemini 1.0 Pro supports 33K 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 1.0 Pro?

Key differences include LLM Stats Score (51.0 vs -5.7), context window (1.0M vs 33K), input pricing ($0.30 vs $0.50/M), 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 1.0 Pro?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Gemini 1.0 Pro is developed by Google.

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