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DeepSeek-V4.1-Flash vs Gemini 2.5 Pro

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 27.8. DeepSeek-V4.1-Flash is 10.4x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 27.8, ranking #12 overall.

In the 2 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash is roughly 10.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 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 and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 10.4x cheaper per token
  • you process long inputs — it offers a 1,040,000 token context window
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini 2.5 Pro

  • you want predictable pricing at $1.25/M input and $10.00/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Gemini 2.5 Pro
Google
Core performance indexes
LLM Stats Score
51.8
#12
27.8
#137
Reasoning
48.9
#17
27.3
#137
Coding
44.4
#5
12.8
#140
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.22 / M
$1.25 / M
Output price
$0.66 / M
$10.00 / M
Context window
1,040,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash
Gemini 2.5 Pro
Math
35.2#43
22.6#135
Vision
29.5#31
16.1#87
Multimodal
34.3#13
22.4#60
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 16 for Gemini 2.5 Pro

2 shared

DeepSeek-V4.1-Flash outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Gemini 2.5 Pro is better at 0 benchmarks.

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

Sun Sep 13 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 costs less

For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 5.7x cheaper than Gemini 2.5 Pro ($1.25/1M tokens).

For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 15.2x cheaper than Gemini 2.5 Pro ($10.00/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than DeepSeek-V4.1-Flash.*

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

Lowest available price from all providers
Sun Sep 13 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to Gemini 2.5 Pro's 1,000,000 tokens. Gemini 2.5 Pro can generate longer responses up to 1,000,000 tokens, while DeepSeek-V4.1-Flash is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Google
Gemini 2.5 Pro
Input1,000,000 tokens
Output1,000,000 tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Text
Images
Audio
Video

License

Usage and distribution terms

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

MIT

Open weights

Gemini 2.5 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Gemini 2.5 Pro was released on 2025-05-20.

DeepSeek-V4.1-Flash is 16 months newer than Gemini 2.5 Pro.

DeepSeek-V4.1-Flash

Sep 10, 2026

3 days ago

1.3yr newer
Gemini 2.5 Pro

May 20, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

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

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

DeepSeek-V4.1-Flash

—

Gemini 2.5 Pro

Jan 2025

Provider Availability

DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. Gemini 2.5 Pro is available from DeepInfra, 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 2.5 Pro

deepinfra logo
Deepinfra
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* 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 2.5 Pro side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 27.8. DeepSeek-V4.1-Flash is made by DeepSeek and Gemini 2.5 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 compare to Gemini 2.5 Pro 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 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%.

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

DeepSeek-V4.1-Flash is 5.7x cheaper for input tokens. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via deepinfra.

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

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

Key differences include LLM Stats Score (51.8 vs 27.8), context window (1.0M vs 1.0M), input pricing ($0.22 vs $1.25/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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

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

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