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DeepSeek-V4.1-Flash-1017 vs Gemini 2.5 Flash

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 21.5. DeepSeek-V4.1-Flash-1017 is 1.6x 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 21.5, ranking #15 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash-1017 is roughly 1.6x 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 and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 1.6x 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 2.5 Flash

  • you want predictable pricing at $0.30/M input and $2.50/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Gemini 2.5 Flash
Google
Core performance indexes
LLM Stats Score
51.0
#15
21.5
#207
Reasoning
48.6
#18
21.2
#203
Coding
39.1
#15
8.2
#201
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
$0.30 / M
Output price
$1.20 / M
$2.50 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash-1017
Gemini 2.5 Flash
Math
31.8#67
16.1#221
Vision
32.2#26
10.8#131
Multimodal
35.0#14
19.5#88
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 14 for Gemini 2.5 Flash

1 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (Humanity's Last Exam), while Gemini 2.5 Flash is better at 0 benchmarks.

DeepSeek-V4.1-Flash-1017 significantly outperforms across most benchmarks.

Mon Oct 19 2026 • llm-stats.com

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) costs the same as Gemini 2.5 Flash ($0.30/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 2.1x cheaper than Gemini 2.5 Flash ($2.50/1M tokens).

In conclusion, Gemini 2.5 Flash 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 2.5 Flash
Input tokens$0.30
Output tokens$2.50
Best providerDeepinfra
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 2.5 Flash's 1,000,000 tokens. Gemini 2.5 Flash can generate longer responses up to 1,000,000 tokens, while DeepSeek-V4.1-Flash-1017 is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Google
Gemini 2.5 Flash
Input1,000,000 tokens
Output1,000,000 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Gemini 2.5 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 2.5 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Gemini 2.5 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 2.5 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Gemini 2.5 Flash was released on 2025-05-20.

DeepSeek-V4.1-Flash-1017 is 17 months newer than Gemini 2.5 Flash.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1.4yr newer
Gemini 2.5 Flash

May 20, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.

We can confirm Gemini 2.5 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

Gemini 2.5 Flash

Jan 2025

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Gemini 2.5 Flash is available from DeepInfra, Google.

DeepSeek-V4.1-Flash-1017

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

Gemini 2.5 Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M
google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M
* 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 2.5 Flash side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Gemini 2.5 Flash
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Gemini 2.5 Flash.

Which is better, DeepSeek-V4.1-Flash-1017 or Gemini 2.5 Flash?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 21.5. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Gemini 2.5 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 2.5 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 2.5 Flash scores Global-MMLU-Lite: 88.4%, AIME 2024: 88.0%, FACTS Grounding: 85.3%, GPQA: 82.8%, MMMU: 79.7%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Gemini 2.5 Flash?

Both models cost $0.30 per million input tokens.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Gemini 2.5 Flash?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Gemini 2.5 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 2.5 Flash?

Key differences include LLM Stats Score (51.0 vs 21.5), context window (1.0M vs 1.0M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Gemini 2.5 Flash?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Gemini 2.5 Flash is developed by Google.

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