DeepSeek-V4-Flash-0423 vs GPT-5 High
DeepSeek-V4-Flash-0423 significantly outperforms across most benchmarks. DeepSeek-V4-Flash-0423 is 27.5x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0423 outperforms in 1 benchmarks (GPQA), while GPT-5 High is better at 0 benchmarks. DeepSeek-V4-Flash-0423 significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Flash-0423 is roughly 27.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0423 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-0423
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 27.5x 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 Apr 2026
- you need open weights you can self-host or fine-tune
Choose GPT-5 High
- you want predictable pricing at $1.25/M input and $10.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0423 outperforms in 1 benchmarks (GPQA), while GPT-5 High is better at 0 benchmarks.
DeepSeek-V4-Flash-0423 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0423 ($0.10/1M tokens) is 12.5x cheaper than GPT-5 High ($1.25/1M tokens).
For output processing, DeepSeek-V4-Flash-0423 ($0.20/1M tokens) is 50.0x cheaper than GPT-5 High ($10.00/1M tokens).
In conclusion, GPT-5 High is more expensive than DeepSeek-V4-Flash-0423.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0423 accepts 1,048,576 input tokens compared to GPT-5 High's 400,000 tokens. GPT-5 High can generate longer responses up to 128,000 tokens, while DeepSeek-V4-Flash-0423 is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
GPT-5 High supports multimodal inputs, whereas DeepSeek-V4-Flash-0423 does not.
GPT-5 High can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0423
GPT-5 High
License
Usage and distribution terms
DeepSeek-V4-Flash-0423 is licensed under MIT, while GPT-5 High 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-0423 was released on 2026-04-23, while GPT-5 High was released on 2025-08-07.
DeepSeek-V4-Flash-0423 is 9 months newer than GPT-5 High.
Apr 23, 2026
4 months ago
8mo newerAug 7, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
GPT-5 High has a documented knowledge cutoff of 2024-09-30, while DeepSeek-V4-Flash-0423's cutoff date is not specified.
We can confirm GPT-5 High's training data extends to 2024-09-30, but cannot make a direct comparison without DeepSeek-V4-Flash-0423's cutoff date.
—
Sep 2024
Provider Availability
DeepSeek-V4-Flash-0423 is available from DeepInfra, Novita. GPT-5 High is available from OpenAI.
DeepSeek-V4-Flash-0423
GPT-5 High
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0423 and GPT-5 High side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0423 vs GPT-5 High.