Model Comparison

DeepSeek-R1-0528 vs GPT-5.1 Thinking

GPT-5.1 Thinking significantly outperforms across most benchmarks. DeepSeek-R1-0528 is 3.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-R1-0528 outperforms in 0 benchmarks, while GPT-5.1 Thinking is better at 3 benchmarks (AIME 2025, GPQA, SWE-Bench Verified).

GPT-5.1 Thinking significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-R1-0528 costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 2.5x cheaper than GPT-5.1 Thinking ($1.25/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 4.7x cheaper than GPT-5.1 Thinking ($10.00/1M tokens).

In conclusion, GPT-5.1 Thinking is more expensive than DeepSeek-R1-0528.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
OpenAI
GPT-5.1 Thinking
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-5.1 Thinking accepts 400,000 input tokens compared to DeepSeek-R1-0528's 131,072 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while GPT-5.1 Thinking is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-5.1 Thinking
Input400,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Thinking supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

GPT-5.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1-0528

Text
Images
Audio
Video

GPT-5.1 Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while GPT-5.1 Thinking uses a proprietary license.

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

DeepSeek-R1-0528

MIT

Open weights

GPT-5.1 Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while GPT-5.1 Thinking was released on 2025-11-12.

GPT-5.1 Thinking is 6 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

10 months ago

GPT-5.1 Thinking

Nov 12, 2025

5 months ago

5mo 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-R1-0528 is available from DeepInfra, DeepSeek, Novita. GPT-5.1 Thinking is available from OpenAI.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

GPT-5.1 Thinking

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
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (94.0% vs 87.5%)
Higher GPQA score (88.1% vs 81.0%)
Higher SWE-Bench Verified score (76.3% vs 44.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
OpenAI
GPT-5.1 Thinking

FAQ

Common questions about DeepSeek-R1-0528 vs GPT-5.1 Thinking

GPT-5.1 Thinking significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and GPT-5.1 Thinking is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. GPT-5.1 Thinking scores Tau2 Telecom: 95.6%, AIME 2025: 94.0%, BrowseComp Long Context 128k: 90.0%, GPQA: 88.1%, MMMU: 85.4%.
DeepSeek-R1-0528 is 2.5x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. GPT-5.1 Thinking costs $1.25/M input and $10.00/M output via openai.
DeepSeek-R1-0528 supports 131K tokens and GPT-5.1 Thinking supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 400K), input pricing ($0.50 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1-0528 is developed by DeepSeek and GPT-5.1 Thinking is developed by OpenAI.