Model Comparison

DeepSeek-V3.2 (Thinking) vs GPT-5.1 Codex Mini

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.2 (Thinking) outperforms in 1 benchmarks (AIME 2025), while GPT-5.1 Codex Mini is better at 0 benchmarks.

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
OpenAI
GPT-5.1 Codex Mini
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2 (Thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Thinking) specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
OpenAI
GPT-5.1 Codex Mini
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Codex Mini supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) does not.

GPT-5.1 Codex Mini 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-5.1 Codex Mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 (Thinking) is licensed under MIT, while GPT-5.1 Codex Mini 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-5.1 Codex Mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2 (Thinking) was released on 2025-12-01, while GPT-5.1 Codex Mini was released on 2025-11-12.

DeepSeek-V3.2 (Thinking) is 1 month newer than GPT-5.1 Codex Mini.

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

4 months ago

2w newer
GPT-5.1 Codex Mini

Nov 12, 2025

5 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

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Has open weights
Higher AIME 2025 score (93.1% vs 42.1%)
OpenAI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Thinking)
OpenAI
GPT-5.1 Codex Mini

FAQ

Common questions about DeepSeek-V3.2 (Thinking) vs GPT-5.1 Codex Mini

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is made by DeepSeek and GPT-5.1 Codex Mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.2 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%. GPT-5.1 Codex Mini scores AIME 2025: 42.1%.
DeepSeek-V3.2 (Thinking) supports 131K tokens and GPT-5.1 Codex Mini supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2 (Thinking) is developed by DeepSeek and GPT-5.1 Codex Mini is developed by OpenAI.