DeepSeek-V4-Flash-0423 vs GPT-5 High
DeepSeek-V4-Flash-0423 and GPT-5 High are closely matched at 35.9 and 33.7 on the LLM Stats Score. DeepSeek-V4-Flash-0423 is 30.6x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0423 and GPT-5 High are closely matched on the overall LLM Stats Score at 35.9 and 33.7.
In the 1 individual benchmarks reported for both models, DeepSeek-V4-Flash-0423 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-0423 is roughly 30.6x 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0423
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 30.6x 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.
Individual benchmarks
19 reported for DeepSeek-V4-Flash-0423 · 2 for GPT-5 High
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.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0423 ($0.09/1M tokens) is 13.9x cheaper than GPT-5 High ($1.25/1M tokens).
For output processing, DeepSeek-V4-Flash-0423 ($0.18/1M tokens) is 55.6x 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. DeepSeek-V4-Flash-0423 can generate longer responses up to 1,048,576 tokens, while GPT-5 High is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
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
6 months ago
8mo newerAug 7, 2025
1.2 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.