The AI arena is free today

Open Superagent

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 12.4. Gemini 2.0 Flash-Lite is 2.6x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 12.4, ranking #12 overall.

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

On price, Gemini 2.0 Flash-Lite is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 Flash-Lite 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

  • overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini 2.0 Flash-Lite

  • cost matters — it's about 2.6x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Gemini 2.0 Flash-Lite
Google
Core performance indexes
LLM Stats Score
51.8
#12
12.4
#250
Reasoning
48.9
#17
12.5
#243
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.22 / M
$0.07 / M
Output price
$0.66 / M
$0.30 / M
Context window
1,040,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash
Gemini 2.0 Flash-Lite
Math
35.2#43
18.2#184
Vision
29.5#31
1.5#173
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 13 for Gemini 2.0 Flash-Lite

1 shared

DeepSeek-V4.1-Flash outperforms in 1 benchmarks (GPQA), while Gemini 2.0 Flash-Lite is better at 0 benchmarks.

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

Fri Sep 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 3.1x more expensive than Gemini 2.0 Flash-Lite ($0.07/1M tokens).

For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 2.2x more expensive than Gemini 2.0 Flash-Lite ($0.30/1M tokens).

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

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

Lowest available price from all providers
Fri Sep 11 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash-Lite accepts 1,048,576 input tokens compared to DeepSeek-V4.1-Flash's 1,040,000 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and Gemini 2.0 Flash-Lite support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while Gemini 2.0 Flash-Lite uses a proprietary license.

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

DeepSeek-V4.1-Flash

MIT

Open weights

Gemini 2.0 Flash-Lite

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Gemini 2.0 Flash-Lite was released on 2025-02-05.

DeepSeek-V4.1-Flash is 19 months newer than Gemini 2.0 Flash-Lite.

DeepSeek-V4.1-Flash

Sep 10, 2026

0 days ago

1.6yr newer
Gemini 2.0 Flash-Lite

Feb 5, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V4.1-Flash's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash's cutoff date.

DeepSeek-V4.1-Flash

—

Gemini 2.0 Flash-Lite

Jun 2024

Provider Availability

DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. Gemini 2.0 Flash-Lite is available from Google.

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Gemini 2.0 Flash-Lite

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash and Gemini 2.0 Flash-Lite side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 12.4. DeepSeek-V4.1-Flash is made by DeepSeek and Gemini 2.0 Flash-Lite 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 compare to Gemini 2.0 Flash-Lite in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%.

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

Gemini 2.0 Flash-Lite is 3.1x cheaper for input tokens. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/M output via google.

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

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

Key differences include LLM Stats Score (51.8 vs 12.4), context window (1.0M vs 1.0M), input pricing ($0.22 vs $0.07/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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

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

Related comparisons