Model Comparison

DeepSeek-V3.2-Exp vs GPT-4.5

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 307.4x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.2-Exp outperforms in 3 benchmarks (GPQA, SimpleQA, SWE-Bench Verified), while GPT-4.5 is better at 0 benchmarks.

DeepSeek-V3.2-Exp 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 277.8x cheaper than GPT-4.5 ($75.00/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 365.9x cheaper than GPT-4.5 ($150.00/1M tokens).

In conclusion, GPT-4.5 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-4.5
Input tokens$75.00
Output tokens$150.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to GPT-4.5's 128,000 tokens. DeepSeek-V3.2-Exp can generate longer responses up to 65,536 tokens, while GPT-4.5 is limited to 4,096 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
OpenAI
GPT-4.5
Input128,000 tokens
Output4,096 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.5 supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

GPT-4.5 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-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while GPT-4.5 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-4.5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while GPT-4.5 was released on 2025-02-27.

DeepSeek-V3.2-Exp is 7 months newer than GPT-4.5.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

7mo newer
GPT-4.5

Feb 27, 2025

1.2 years 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

DeepSeek-V3.2-Exp is available from Novita. GPT-4.5 is available from OpenAI.

DeepSeek-V3.2-Exp

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

GPT-4.5

openai logo
OpenAI
Input Price:Input: $75.00/1MOutput Price:Output: $150.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (79.9% vs 69.5%)
Higher SimpleQA score (97.1% vs 62.5%)
Higher SWE-Bench Verified score (67.8% vs 38.0%)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
OpenAI
GPT-4.5

FAQ

Common questions about DeepSeek-V3.2-Exp vs GPT-4.5.

Which is better, DeepSeek-V3.2-Exp or GPT-4.5?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and GPT-4.5 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-4.5 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-4.5 scores GSM8k: 97.0%, MMLU: 90.8%, CharXiv-D: 90.0%, IFEval: 88.2%, HumanEval: 88.0%.

Is DeepSeek-V3.2-Exp cheaper than GPT-4.5?

DeepSeek-V3.2-Exp is 277.8x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. GPT-4.5 costs $75.00/M input and $150.00/M output via openai.

What are the context window sizes for DeepSeek-V3.2-Exp and GPT-4.5?

DeepSeek-V3.2-Exp supports 164K tokens and GPT-4.5 supports 128K 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-4.5?

Key differences include context window (164K vs 128K), input pricing ($0.27 vs $75.00/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-4.5?

DeepSeek-V3.2-Exp is developed by DeepSeek and GPT-4.5 is developed by OpenAI.