Model Comparison

DeepSeek-V3.2-Exp vs GPT-5

GPT-5 significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 11.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-V3.2-Exp outperforms in 0 benchmarks, while GPT-5 is better at 7 benchmarks (Aider-Polyglot, AIME 2025, BrowseComp, GPQA, HMMT 2025, Humanity's Last Exam, SWE-Bench Verified).

GPT-5 significantly outperforms across most benchmarks.

Fri May 15 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, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 4.6x cheaper than GPT-5 ($1.25/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 24.4x cheaper than GPT-5 ($10.00/1M tokens).

In conclusion, GPT-5 is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Fri May 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 accepts 400,000 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. GPT-5 can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

GPT-5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while GPT-5 uses a proprietary license.

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

DeepSeek-V3.2-Exp

MIT

Open weights

GPT-5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while GPT-5 was released on 2025-08-07.

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

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

1mo newer
GPT-5

Aug 7, 2025

9 months ago

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while DeepSeek-V3.2-Exp's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without DeepSeek-V3.2-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

GPT-5

Sep 2024

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. GPT-5 is available from OpenAI.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

GPT-5

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher Aider-Polyglot score (88.0% vs 74.5%)
Higher AIME 2025 score (94.6% vs 89.3%)
Higher BrowseComp score (54.9% vs 40.1%)
Higher GPQA score (85.7% vs 79.9%)
Higher HMMT 2025 score (93.3% vs 83.6%)
Higher Humanity's Last Exam score (24.8% vs 19.8%)
Higher SWE-Bench Verified score (74.9% vs 67.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
OpenAI
GPT-5

FAQ

Common questions about DeepSeek-V3.2-Exp vs GPT-5.

Which is better, DeepSeek-V3.2-Exp or GPT-5?

GPT-5 significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and GPT-5 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.2-Exp compare to GPT-5 in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%.

Is DeepSeek-V3.2-Exp cheaper than GPT-5?

DeepSeek-V3.2-Exp is 4.6x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. GPT-5 costs $1.25/M input and $10.00/M output via openai.

What are the context window sizes for DeepSeek-V3.2-Exp and GPT-5?

DeepSeek-V3.2-Exp supports 164K tokens and GPT-5 supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Exp and GPT-5?

Key differences include context window (164K vs 400K), input pricing ($0.27 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and GPT-5?

DeepSeek-V3.2-Exp is developed by DeepSeek and GPT-5 is developed by OpenAI.