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DeepSeek-V4.1-Flash-1017 vs Gemini 2.0 Flash

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 16.2. Gemini 2.0 Flash is 3.0x 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 16.2, ranking #15 overall.

On price, Gemini 2.0 Flash is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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 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 2.0 Flash

  • cost matters — it's about 3.0x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Gemini 2.0 Flash
Google
Core performance indexes
LLM Stats Score
51.0
#15
16.2
#245
Reasoning
48.6
#18
15.6
#244
Coding
39.1
#15
1.6
#251
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.10 / M
Output price
$1.20 / M
$0.40 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash-1017
Gemini 2.0 Flash
Math
31.8#67
23.4#140
Vision
32.2#26
7.8#157
Multimodal
35.0#14
13.5#116
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 13 for Gemini 2.0 Flash

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Gemini 2.0 Flashdon'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

Gemini 2.0 Flash costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 3.0x more expensive than Gemini 2.0 Flash ($0.10/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 3.0x more expensive than Gemini 2.0 Flash ($0.40/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than Gemini 2.0 Flash.*

* 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 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Gemini 2.0 Flash 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

Gemini 2.0 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Gemini 2.0 Flash 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 2.0 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Gemini 2.0 Flash was released on 2024-12-01.

DeepSeek-V4.1-Flash-1017 is 23 months newer than Gemini 2.0 Flash.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1.9yr newer
Gemini 2.0 Flash

Dec 1, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

Gemini 2.0 Flash

Aug 2024

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Gemini 2.0 Flash is available from Google.

DeepSeek-V4.1-Flash-1017

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

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* 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 2.0 Flash side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Gemini 2.0 Flash
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Gemini 2.0 Flash.

Which is better, DeepSeek-V4.1-Flash-1017 or Gemini 2.0 Flash?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 16.2. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Gemini 2.0 Flash 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 2.0 Flash 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 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Gemini 2.0 Flash?

Gemini 2.0 Flash is 3.0x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Gemini 2.0 Flash?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Gemini 2.0 Flash 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-V4.1-Flash-1017 and Gemini 2.0 Flash?

Key differences include LLM Stats Score (51.0 vs 16.2), input pricing ($0.30 vs $0.10/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Gemini 2.0 Flash?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Gemini 2.0 Flash is developed by Google.

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