Model Comparison

DeepSeek-V3.2 (Thinking) vs GPT-5 Medium

Both models are evenly matched across the benchmarks. DeepSeek-V3.2 (Thinking) is 10.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.2 (Thinking) outperforms in 1 benchmarks (AIME 2025), while GPT-5 Medium is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Mon Jun 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Thinking) costs less

For input processing, DeepSeek-V3.2 (Thinking) ($0.28/1M tokens) is 4.5x cheaper than GPT-5 Medium ($1.25/1M tokens).

For output processing, DeepSeek-V3.2 (Thinking) ($0.42/1M tokens) is 23.8x cheaper than GPT-5 Medium ($10.00/1M tokens).

In conclusion, GPT-5 Medium is more expensive than DeepSeek-V3.2 (Thinking).*

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

Lowest available price from all providers
Mon Jun 01 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
OpenAI
GPT-5 Medium
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 Medium accepts 400,000 input tokens compared to DeepSeek-V3.2 (Thinking)'s 131,072 tokens. GPT-5 Medium can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2 (Thinking) is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
OpenAI
GPT-5 Medium
Input400,000 tokens
Output128,000 tokens
Mon Jun 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 Medium supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) does not.

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

DeepSeek-V3.2 (Thinking)

Text
Images
Audio
Video

GPT-5 Medium

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 (Thinking) is licensed under MIT, while GPT-5 Medium uses a proprietary license.

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

DeepSeek-V3.2 (Thinking)

MIT

Open weights

GPT-5 Medium

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2 (Thinking) was released on 2025-12-01, while GPT-5 Medium was released on 2025-08-07.

DeepSeek-V3.2 (Thinking) is 4 months newer than GPT-5 Medium.

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

6 months ago

3mo newer
GPT-5 Medium

Aug 7, 2025

9 months ago

Knowledge Cutoff

When training data ends

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

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

DeepSeek-V3.2 (Thinking)

—

GPT-5 Medium

Sep 2024

Provider Availability

DeepSeek-V3.2 (Thinking) is available from DeepSeek. GPT-5 Medium is available from OpenAI.

DeepSeek-V3.2 (Thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

GPT-5 Medium

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
Higher AIME 2025 score (93.1% vs 88.9%)
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher GPQA score (88.1% vs 82.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Thinking)
OpenAI
GPT-5 Medium

FAQ

Common questions about DeepSeek-V3.2 (Thinking) vs GPT-5 Medium.

Which is better, DeepSeek-V3.2 (Thinking) or GPT-5 Medium?

Both models are evenly matched across the benchmarks. DeepSeek-V3.2 (Thinking) is made by DeepSeek and GPT-5 Medium 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 (Thinking) compare to GPT-5 Medium in benchmarks?

DeepSeek-V3.2 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%. GPT-5 Medium scores AIME 2025: 88.9%, GPQA: 88.1%.

Is DeepSeek-V3.2 (Thinking) cheaper than GPT-5 Medium?

DeepSeek-V3.2 (Thinking) is 4.5x cheaper for input tokens. DeepSeek-V3.2 (Thinking) costs $0.28/M input and $0.42/M output via deepseek. GPT-5 Medium costs $1.25/M input and $10.00/M output via openai.

What are the context window sizes for DeepSeek-V3.2 (Thinking) and GPT-5 Medium?

DeepSeek-V3.2 (Thinking) supports 131K tokens and GPT-5 Medium 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 (Thinking) and GPT-5 Medium?

Key differences include context window (131K vs 400K), input pricing ($0.28 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 (Thinking) and GPT-5 Medium?

DeepSeek-V3.2 (Thinking) is developed by DeepSeek and GPT-5 Medium is developed by OpenAI.