DeepSeek-V4.1-Flash vs Gemini 1.5 Pro
DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 12.0. DeepSeek-V4.1-Flash is 13.3x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 12.0, 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, DeepSeek-V4.1-Flash is roughly 13.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 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 1 of 1 exact shared results
- cost matters — it's about 13.3x cheaper per token
- you want the most recent training data — it shipped Sep 2026
- you need open weights you can self-host or fine-tune
Choose Gemini 1.5 Pro
- you process long inputs — it offers a 2,097,152 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for DeepSeek-V4.1-Flash · 23 for Gemini 1.5 Pro
DeepSeek-V4.1-Flash outperforms in 1 benchmarks (GPQA), while Gemini 1.5 Pro is better at 0 benchmarks.
DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 11.4x cheaper than Gemini 1.5 Pro ($2.50/1M tokens).
For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 15.2x cheaper than Gemini 1.5 Pro ($10.00/1M tokens).
In conclusion, Gemini 1.5 Pro is more expensive than DeepSeek-V4.1-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Pro accepts 2,097,152 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 1.5 Pro is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash and Gemini 1.5 Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash
Gemini 1.5 Pro
License
Usage and distribution terms
DeepSeek-V4.1-Flash is licensed under MIT, while Gemini 1.5 Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4.1-Flash was released on 2026-09-10, while Gemini 1.5 Pro was released on 2024-05-01.
DeepSeek-V4.1-Flash is 29 months newer than Gemini 1.5 Pro.
Sep 10, 2026
0 days ago
2.4yr newerMay 1, 2024
2.4 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while DeepSeek-V4.1-Flash's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash's cutoff date.
—
Nov 2023
Provider Availability
DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. Gemini 1.5 Pro is available from Google.
DeepSeek-V4.1-Flash
Gemini 1.5 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash and Gemini 1.5 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash vs Gemini 1.5 Pro.