DeepSeek-V4-Flash-Vision-Exp vs GPT-5 nano
Comparing DeepSeek-V4-Flash-Vision-Exp and GPT-5 nano across benchmarks, pricing, and capabilities.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and GPT-5 nano trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GPT-5 nano is roughly 2.4x 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
- 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 GPT-5 nano
- cost matters — it's about 2.4x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Vision-Exp and GPT-5 nanodon'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 4.4x more expensive than GPT-5 nano ($0.05/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 1.6x more expensive than GPT-5 nano ($0.40/1M tokens).
In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than GPT-5 nano.*
* 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 GPT-5 nano's 400,000 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while GPT-5 nano is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both DeepSeek-V4-Flash-Vision-Exp and GPT-5 nano support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4-Flash-Vision-Exp
GPT-5 nano
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while GPT-5 nano was released on 2025-08-07.
DeepSeek-V4-Flash-Vision-Exp is 13 months newer than GPT-5 nano.
Aug 21, 2026
3 days ago
1.0yr newerAug 7, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while DeepSeek-V4-Flash-Vision-Exp's cutoff date is not specified.
We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without DeepSeek-V4-Flash-Vision-Exp's cutoff date.
—
May 2024
Provider Availability
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. GPT-5 nano is available from OpenAI.
DeepSeek-V4-Flash-Vision-Exp
GPT-5 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and GPT-5 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs GPT-5 nano.