DeepSeek-V3 0324 vs Gemini 2.5 Flash
Gemini 2.5 Flash leads the LLM Stats Score 21.9 to 13.6. DeepSeek-V3 0324 is 1.7x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
Gemini 2.5 Flash leads the overall LLM Stats Score 21.9 to 13.6, ranking #172 overall.
In the 2 individual benchmarks reported for both models, Gemini 2.5 Flash wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V3 0324 is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 Flash 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-V3 0324
- cost matters — it's about 1.7x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 2.5 Flash
- overall performance matters — it scores 21.9 and ranks #172 on LLM Stats
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped May 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for DeepSeek-V3 0324 · 14 for Gemini 2.5 Flash
DeepSeek-V3 0324 outperforms in 0 benchmarks, while Gemini 2.5 Flash is better at 2 benchmarks (AIME 2024, GPQA).
Gemini 2.5 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-V3 0324 ($0.28/1M tokens) is 1.1x cheaper than Gemini 2.5 Flash ($0.30/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 2.2x cheaper than Gemini 2.5 Flash ($2.50/1M tokens).
In conclusion, Gemini 2.5 Flash is more expensive than DeepSeek-V3 0324.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Flash accepts 1,048,576 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Gemini 2.5 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 2.5 Flash supports multimodal inputs, whereas DeepSeek-V3 0324 does not.
Gemini 2.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3 0324
Gemini 2.5 Flash
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Gemini 2.5 Flash uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Gemini 2.5 Flash was released on 2025-05-20.
Gemini 2.5 Flash is 2 months newer than DeepSeek-V3 0324.
Mar 25, 2025
1.4 years ago
May 20, 2025
1.3 years ago
1mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Flash has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3 0324's cutoff date is not specified.
We can confirm Gemini 2.5 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V3 0324's cutoff date.
—
Jan 2025
Provider Availability
DeepSeek-V3 0324 is available from Novita. Gemini 2.5 Flash is available from Google.
DeepSeek-V3 0324
Gemini 2.5 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 0324 and Gemini 2.5 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 0324 vs Gemini 2.5 Flash.