DeepSeek-V4-Flash-0731 vs Gemini 3 Pro
DeepSeek-V4-Flash-0731 leads the LLM Stats Score 43.8 to 38.5. DeepSeek-V4-Flash-0731 is 50.0x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 43.8 to 38.5, ranking #43 overall.
On price, DeepSeek-V4-Flash-0731 is roughly 50.0x 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 43.8 and ranks #43 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- cost matters — it's about 50.0x 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 Pro
- you want predictable pricing at $2.00/M input and $12.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 21 for Gemini 3 Pro
DeepSeek-V4-Flash-0731 and Gemini 3 Prodon'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-V4-Flash-0731 ($0.06/1M tokens) is 33.3x cheaper than Gemini 3 Pro ($2.00/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 66.7x cheaper than Gemini 3 Pro ($12.00/1M tokens).
In conclusion, Gemini 3 Pro 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 Pro is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
Gemini 3 Pro
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Gemini 3 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-Flash-0731 was released on 2026-07-31, while Gemini 3 Pro was released on 2025-11-18.
DeepSeek-V4-Flash-0731 is 9 months newer than Gemini 3 Pro.
Jul 31, 2026
1 months ago
8mo newerNov 18, 2025
10 months ago
Knowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V4-Flash-0731's cutoff date is not specified.
We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.
—
Jan 2025
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Gemini 3 Pro is available from Google.
DeepSeek-V4-Flash-0731
Gemini 3 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Gemini 3 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Gemini 3 Pro.