DeepSeek-V3.2-Exp vs GPT-5.1 Codex Comparison

Comparing DeepSeek-V3.2-Exp and GPT-5.1 Codex across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.2-Exp outperforms in 0 benchmarks, while GPT-5.1 Codex is better at 1 benchmark (SWE-Bench Verified).

GPT-5.1 Codex significantly outperforms across most benchmarks.

Tue Mar 17 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 Codex ($1.25/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 24.4x cheaper than GPT-5.1 Codex ($10.00/1M tokens).

In conclusion, GPT-5.1 Codex is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
OpenAI
GPT-5.1 Codex
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

GPT-5.1 Codex accepts 400,000 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. GPT-5.1 Codex 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-5.1 Codex
Input400,000 tokens
Output128,000 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Codex supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

GPT-5.1 Codex 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-5.1 Codex

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while GPT-5.1 Codex 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-5.1 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while GPT-5.1 Codex was released on 2025-11-19.

GPT-5.1 Codex is 2 months newer than DeepSeek-V3.2-Exp.

DeepSeek-V3.2-Exp

Sep 29, 2025

5 months ago

GPT-5.1 Codex

Nov 19, 2025

3 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5.1 Codex has a documented knowledge cutoff of 2024-09-30, while DeepSeek-V3.2-Exp's cutoff date is not specified.

We can confirm GPT-5.1 Codex'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-5.1 Codex

Sep 2024

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. GPT-5.1 Codex is available from OpenAI. The availability of providers can affect quality of the model and reliability.

DeepSeek-V3.2-Exp

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

GPT-5.1 Codex

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

Less expensive input tokens
Less expensive output tokens
Has open weights
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher SWE-Bench Verified score (73.7% vs 67.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
OpenAI
GPT-5.1 Codex