Model Comparison

GPT-5.4 vs DeepSeek-V3.2-ExpWhich is better in 2026?

GPT-5.4 significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 18.4x cheaper per token.

Verdict: GPT-5.4 vs DeepSeek-V3.2-Exp — which is better?

GPT-5.4 (by OpenAI) and DeepSeek-V3.2-Exp (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 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam), while DeepSeek-V3.2-Exp is better at 0 benchmarks. GPT-5.4 significantly outperforms across most benchmarks.

On price, DeepSeek-V3.2-Exp is roughly 18.4x 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 3 of 3 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-V3.2-Exp if…

  • cost matters — it's about 18.4x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-5.4 outperforms in 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam), while DeepSeek-V3.2-Exp is better at 0 benchmarks.

GPT-5.4 significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, GPT-5.4 ($2.50/1M tokens) is 9.3x more expensive than DeepSeek-V3.2-Exp ($0.27/1M tokens).

For output processing, GPT-5.4 ($15.00/1M tokens) is 36.6x more expensive than DeepSeek-V3.2-Exp ($0.41/1M tokens).

In conclusion, GPT-5.4 is more expensive than DeepSeek-V3.2-Exp.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
OpenAI
GPT-5.4
Input tokens$2.50
Output tokens$15.00
Best providerOpenAI
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5.4 accepts 1,000,000 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. GPT-5.4 can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.4 supports multimodal inputs, whereas DeepSeek-V3.2-Exp 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

Text
Images
Audio
Video

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.4 is licensed under a proprietary license, while DeepSeek-V3.2-Exp uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.4

Proprietary

Closed source

DeepSeek-V3.2-Exp

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while DeepSeek-V3.2-Exp was released on 2025-09-29.

GPT-5.4 is 5 months newer than DeepSeek-V3.2-Exp.

GPT-5.4

Mar 5, 2026

3 months ago

5mo newer
DeepSeek-V3.2-Exp

Sep 29, 2025

8 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-5.4 is available from OpenAI. DeepSeek-V3.2-Exp is available from Novita.

GPT-5.4

openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher BrowseComp score (82.7% vs 40.1%)
Higher GPQA score (92.8% vs 79.9%)
Higher Humanity's Last Exam score (39.8% vs 19.8%)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
DeepSeek
DeepSeek-V3.2-Exp

FAQ

Common questions about GPT-5.4 vs DeepSeek-V3.2-Exp.

Which is better, GPT-5.4 or DeepSeek-V3.2-Exp?

GPT-5.4 significantly outperforms across most benchmarks. GPT-5.4 is made by OpenAI and DeepSeek-V3.2-Exp is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.4 compare to DeepSeek-V3.2-Exp in benchmarks?

GPT-5.4 scores Tau2 Telecom: 98.9%, ARC-AGI: 93.7%, Graphwalks BFS <128k: 93.0%, GPQA: 92.8%, Graphwalks parents <128k: 89.8%. DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%.

Is GPT-5.4 cheaper than DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp is 9.3x cheaper for input tokens. GPT-5.4 costs $2.50/M input and $15.00/M output via openai. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita.

What are the context window sizes for GPT-5.4 and DeepSeek-V3.2-Exp?

GPT-5.4 supports 1.0M tokens and DeepSeek-V3.2-Exp supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.4 and DeepSeek-V3.2-Exp?

Key differences include context window (1.0M vs 164K), input pricing ($2.50 vs $0.27/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.4 and DeepSeek-V3.2-Exp?

GPT-5.4 is developed by OpenAI and DeepSeek-V3.2-Exp is developed by DeepSeek.