Model Comparison

DeepSeek-V3.1 vs GPT-5.2 Pro

GPT-5.2 Pro significantly outperforms across most benchmarks. DeepSeek-V3.1 is 127.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3.1 outperforms in 0 benchmarks, while GPT-5.2 Pro is better at 5 benchmarks (AIME 2025, BrowseComp, GPQA, HMMT 2025, Humanity's Last Exam).

GPT-5.2 Pro significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 77.8x cheaper than GPT-5.2 Pro ($21.00/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 168.0x cheaper than GPT-5.2 Pro ($168.00/1M tokens).

In conclusion, GPT-5.2 Pro is more expensive than DeepSeek-V3.1.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
OpenAI
GPT-5.2 Pro
Input tokens$21.00
Output tokens$168.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.2 Pro accepts 400,000 input tokens compared to DeepSeek-V3.1's 163,840 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while GPT-5.2 Pro is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
OpenAI
GPT-5.2 Pro
Input400,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 Pro supports multimodal inputs, whereas DeepSeek-V3.1 does not.

GPT-5.2 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.1

Text
Images
Audio
Video

GPT-5.2 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while GPT-5.2 Pro uses a proprietary license.

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

DeepSeek-V3.1

MIT

Open weights

GPT-5.2 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while GPT-5.2 Pro was released on 2025-12-11.

GPT-5.2 Pro is 11 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

GPT-5.2 Pro

Dec 11, 2025

4 months ago

11mo newer

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-V3.1 is available from DeepInfra, Novita. GPT-5.2 Pro is available from OpenAI.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

GPT-5.2 Pro

openai logo
OpenAI
Input Price:Input: $21.00/1MOutput Price:Output: $168.00/1M
* 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 AIME 2025 score (100.0% vs 49.8%)
Higher BrowseComp score (77.9% vs 30.0%)
Higher GPQA score (93.2% vs 74.9%)
Higher HMMT 2025 score (100.0% vs 33.5%)
Higher Humanity's Last Exam score (36.6% vs 15.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
OpenAI
GPT-5.2 Pro

FAQ

Common questions about DeepSeek-V3.1 vs GPT-5.2 Pro

GPT-5.2 Pro significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and GPT-5.2 Pro is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. GPT-5.2 Pro scores AIME 2025: 100.0%, HMMT 2025: 100.0%, GPQA: 93.2%, ARC-AGI: 90.5%, BrowseComp: 77.9%.
DeepSeek-V3.1 is 77.8x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. GPT-5.2 Pro costs $21.00/M input and $168.00/M output via openai.
DeepSeek-V3.1 supports 164K tokens and GPT-5.2 Pro supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 400K), input pricing ($0.27 vs $21.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.1 is developed by DeepSeek and GPT-5.2 Pro is developed by OpenAI.