DeepSeek-V4-Flash-Vision-Exp vs Gemini 1.0 Pro
Comparing DeepSeek-V4-Flash-Vision-Exp and Gemini 1.0 Pro across benchmarks, pricing, and capabilities.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and Gemini 1.0 Pro trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-V4-Flash-Vision-Exp is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Vision-Exp 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 benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Vision-Exp
- cost matters — it's about 2.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Gemini 1.0 Pro
- you want predictable pricing at $0.50/M input and $1.50/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Vision-Exp and Gemini 1.0 Prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 2.3x cheaper than Gemini 1.0 Pro ($0.50/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 2.3x cheaper than Gemini 1.0 Pro ($1.50/1M tokens).
In conclusion, Gemini 1.0 Pro is more expensive than DeepSeek-V4-Flash-Vision-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Gemini 1.0 Pro does not.
DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Vision-Exp
Gemini 1.0 Pro
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Gemini 1.0 Pro was released on 2024-02-15.
DeepSeek-V4-Flash-Vision-Exp is 31 months newer than Gemini 1.0 Pro.
Aug 21, 2026
3 days ago
2.5yr newerFeb 15, 2024
2.5 years ago
Knowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek-V4-Flash-Vision-Exp's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without DeepSeek-V4-Flash-Vision-Exp's cutoff date.
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Feb 2024
Provider Availability
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. Gemini 1.0 Pro is available from Google.
DeepSeek-V4-Flash-Vision-Exp
Gemini 1.0 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Gemini 1.0 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs Gemini 1.0 Pro.