The AI arena is free today

Open Superagent

DeepSeek-V4.1-Flash-1017 vs Gemini 1.5 Flash 8B

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -1.1. Gemini 1.5 Flash 8B is 4.1x 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 -1.1, ranking #15 overall.

On price, Gemini 1.5 Flash 8B is roughly 4.1x 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 — 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 1.5 Flash 8B

  • cost matters — it's about 4.1x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Gemini 1.5 Flash 8B
Google
Core performance indexes
LLM Stats Score
51.0
#15
-1.1
#355
Reasoning
48.6
#18
-0.7
#346
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.07 / M
Output price
$1.20 / M
$0.30 / 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 1.5 Flash 8B
Math
31.8#67
2.4#304
Vision
32.2#26
-2.6#211
Multimodal
35.0#14
0.1#172
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 13 for Gemini 1.5 Flash 8B

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Gemini 1.5 Flash 8Bdon'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 1.5 Flash 8B costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 4.3x more expensive than Gemini 1.5 Flash 8B ($0.07/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 4.0x more expensive than Gemini 1.5 Flash 8B ($0.30/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than Gemini 1.5 Flash 8B.*

* 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 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Notice missing or incorrect data?

Model Size

Parameter count comparison

755.2B diff

DeepSeek-V4.1-Flash-1017 has 755.2B more parameters than Gemini 1.5 Flash 8B, making it 9440.1% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Google
Gemini 1.5 Flash 8B
8.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
8.0B
Gemini 1.5 Flash 8B

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 1.5 Flash 8B is limited to 8,192 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Google
Gemini 1.5 Flash 8B
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 1.5 Flash 8B 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 1.5 Flash 8B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Gemini 1.5 Flash 8B was released on 2024-03-15.

DeepSeek-V4.1-Flash-1017 is 32 months newer than Gemini 1.5 Flash 8B.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

2.6yr newer
Gemini 1.5 Flash 8B

Mar 15, 2024

2.6 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

Gemini 1.5 Flash 8B

Oct 2024

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Gemini 1.5 Flash 8B is available from Google.

DeepSeek-V4.1-Flash-1017

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

Gemini 1.5 Flash 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M
* 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 1.5 Flash 8B side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Gemini 1.5 Flash 8B
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Gemini 1.5 Flash 8B.

Which is better, DeepSeek-V4.1-Flash-1017 or Gemini 1.5 Flash 8B?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -1.1. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Gemini 1.5 Flash 8B 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 1.5 Flash 8B 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 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Gemini 1.5 Flash 8B?

Gemini 1.5 Flash 8B is 4.3x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output via google.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Gemini 1.5 Flash 8B?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Gemini 1.5 Flash 8B 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 1.5 Flash 8B?

Key differences include LLM Stats Score (51.0 vs -1.1), input pricing ($0.30 vs $0.07/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Gemini 1.5 Flash 8B?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Gemini 1.5 Flash 8B is developed by Google.

Related comparisons