DeepSeek-V2.5 vs Gemini 3.1 Flash-Lite
Gemini 3.1 Flash-Lite leads the LLM Stats Score 30.9 to 8.1. DeepSeek-V2.5 is 3.2x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
Gemini 3.1 Flash-Lite leads the overall LLM Stats Score 30.9 to 8.1, ranking #117 overall.
On price, DeepSeek-V2.5 is roughly 3.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Flash-Lite also accepts a larger context window (1,000,000 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-V2.5
- cost matters — it's about 3.2x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 3.1 Flash-Lite
- overall performance matters — it scores 30.9 and ranks #117 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for DeepSeek-V2.5 · 11 for Gemini 3.1 Flash-Lite
DeepSeek-V2.5 and Gemini 3.1 Flash-Litedon'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
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 1.8x cheaper than Gemini 3.1 Flash-Lite ($0.25/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 5.4x cheaper than Gemini 3.1 Flash-Lite ($1.50/1M tokens).
In conclusion, Gemini 3.1 Flash-Lite is more expensive than DeepSeek-V2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Flash-Lite accepts 1,000,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Gemini 3.1 Flash-Lite can generate longer responses up to 1,000,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.1 Flash-Lite supports multimodal inputs, whereas DeepSeek-V2.5 does not.
Gemini 3.1 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V2.5
Gemini 3.1 Flash-Lite
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while Gemini 3.1 Flash-Lite uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while Gemini 3.1 Flash-Lite was released on 2026-03-03.
Gemini 3.1 Flash-Lite is 22 months newer than DeepSeek-V2.5.
May 8, 2024
2.4 years ago
Mar 3, 2026
6 months ago
1.8yr newerKnowledge Cutoff
When training data ends
Gemini 3.1 Flash-Lite has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V2.5's cutoff date is not specified.
We can confirm Gemini 3.1 Flash-Lite's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.
—
Jan 2025
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Gemini 3.1 Flash-Lite is available from DeepInfra, Google.
DeepSeek-V2.5
Gemini 3.1 Flash-Lite
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V2.5 and Gemini 3.1 Flash-Lite side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V2.5 vs Gemini 3.1 Flash-Lite.