Model Comparison
GPT-5.4 vs DeepSeek-V3Which is better in 2026?
GPT-5.4 significantly outperforms across most benchmarks. DeepSeek-V3 is 11.8x cheaper per token.
Verdict: GPT-5.4 vs DeepSeek-V3 — which is better?
GPT-5.4 (by OpenAI) and DeepSeek-V3 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5.4 outperforms in 1 benchmarks (GPQA), while DeepSeek-V3 is better at 0 benchmarks. GPT-5.4 significantly outperforms across most benchmarks.
On price, DeepSeek-V3 is roughly 11.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.4 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Mar 2026
Choose DeepSeek-V3 if…
- cost matters — it's about 11.8x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.4 outperforms in 1 benchmarks (GPQA), while DeepSeek-V3 is better at 0 benchmarks.
GPT-5.4 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.4 ($2.50/1M tokens) is 9.3x more expensive than DeepSeek-V3 ($0.27/1M tokens).
For output processing, GPT-5.4 ($15.00/1M tokens) is 13.6x more expensive than DeepSeek-V3 ($1.10/1M tokens).
In conclusion, GPT-5.4 is more expensive than DeepSeek-V3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.4 accepts 1,000,000 input tokens compared to DeepSeek-V3's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while GPT-5.4 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.4 supports multimodal inputs, whereas DeepSeek-V3 does not.
GPT-5.4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.4
DeepSeek-V3
License
Usage and distribution terms
GPT-5.4 is licensed under a proprietary license, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT + Model License (Commercial use allowed)
Open weights
Release Timeline
When each model was launched
GPT-5.4 was released on 2026-03-05, while DeepSeek-V3 was released on 2024-12-25.
GPT-5.4 is 15 months newer than DeepSeek-V3.
Mar 5, 2026
3 months ago
1.2yr newerDec 25, 2024
1.4 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.4 is available from OpenAI. DeepSeek-V3 is available from DeepSeek.
GPT-5.4
DeepSeek-V3
Outputs Comparison
Key Takeaways
GPT-5.4
View detailsOpenAI
DeepSeek-V3
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about GPT-5.4 vs DeepSeek-V3.