DeepSeek-V4-Flash-0731 vs Gemini 3.5 Flash-Lite
DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 29.9. DeepSeek-V4-Flash-0731 is 9.4x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.7 to 29.9, ranking #35 overall.
In the 1 individual benchmarks reported for both models, DeepSeek-V4-Flash-0731 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-0731 is roughly 9.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0731
- overall performance matters — it scores 44.7 and ranks #35 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 9.4x cheaper per token
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
Choose Gemini 3.5 Flash-Lite
- you want predictable pricing at $0.30/M input and $2.50/M output
At a glance
The differences that matter most.
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 6 for Gemini 3.5 Flash-Lite
DeepSeek-V4-Flash-0731 outperforms in 1 benchmarks (Terminal-Bench 2.1), while Gemini 3.5 Flash-Lite is better at 0 benchmarks.
DeepSeek-V4-Flash-0731 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-Flash-0731 ($0.06/1M tokens) is 5.0x cheaper than Gemini 3.5 Flash-Lite ($0.30/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 13.9x cheaper than Gemini 3.5 Flash-Lite ($2.50/1M tokens).
In conclusion, Gemini 3.5 Flash-Lite is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.5 Flash-Lite supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
Gemini 3.5 Flash-Lite
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Gemini 3.5 Flash-Lite 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-Flash-0731 was released on 2026-07-31, while Gemini 3.5 Flash-Lite was released on 2026-07-21.
DeepSeek-V4-Flash-0731 is 0 month newer than Gemini 3.5 Flash-Lite.
Jul 31, 2026
1 months ago
1w newerJul 21, 2026
1 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while DeepSeek-V4-Flash-0731's cutoff date is not specified.
We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.
—
Mar 2026
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Gemini 3.5 Flash-Lite is available from Google.
DeepSeek-V4-Flash-0731
Gemini 3.5 Flash-Lite
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Gemini 3.5 Flash-Lite side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Gemini 3.5 Flash-Lite.