Model Comparison

GPT-5.2 vs GPT-5.1

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.1 is 1.4x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-5.2 outperforms in 7 benchmarks (AIME 2025, BrowseComp Long Context 128k, FrontierMath, GPQA, SWE-Bench Verified, Tau2 Retail, Tau2 Telecom), while GPT-5.1 is better at 0 benchmarks.

GPT-5.2 significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5.1 costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 1.4x more expensive than GPT-5.1 ($1.25/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 1.4x more expensive than GPT-5.1 ($10.00/1M tokens).

In conclusion, GPT-5.2 is more expensive than GPT-5.1.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
OpenAI
GPT-5.1
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

Both models have the same input context window of 400,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
OpenAI
GPT-5.1
Input400,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.2 and GPT-5.1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.2

Text
Images
Audio
Video

GPT-5.1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5.2

Proprietary

Closed source

GPT-5.1

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while GPT-5.1 was released on 2025-11-13.

GPT-5.2 is 1 month newer than GPT-5.1.

GPT-5.2

Dec 11, 2025

4 months ago

4w newer
GPT-5.1

Nov 13, 2025

5 months ago

Knowledge Cutoff

When training data ends

GPT-5.2 has a knowledge cutoff of 2025-08-25, while GPT-5.1 has a cutoff of 2024-09-30.

GPT-5.2 has more recent training data (up to 2025-08-25), making it potentially better informed about events through that date compared to GPT-5.1 (2024-09-30).

GPT-5.2

Aug 2025

11 mo newer
GPT-5.1

Sep 2024

Provider Availability

GPT-5.2 is available from OpenAI. GPT-5.1 is available from OpenAI.

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

GPT-5.1

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

Higher AIME 2025 score (100.0% vs 94.0%)
Higher BrowseComp Long Context 128k score (92.0% vs 90.0%)
Higher FrontierMath score (40.3% vs 26.7%)
Higher GPQA score (92.4% vs 88.1%)
Higher SWE-Bench Verified score (80.0% vs 76.3%)
Higher Tau2 Retail score (82.0% vs 77.9%)
Higher Tau2 Telecom score (98.7% vs 95.6%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
OpenAI
GPT-5.1

FAQ

Common questions about GPT-5.2 vs GPT-5.1

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI and GPT-5.1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. GPT-5.1 scores Tau2 Telecom: 95.6%, AIME 2025: 94.0%, BrowseComp Long Context 128k: 90.0%, GPQA: 88.1%, MMMU: 85.4%.
GPT-5.1 is 1.4x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. GPT-5.1 costs $1.25/M input and $10.00/M output via openai.
GPT-5.2 supports 400K tokens and GPT-5.1 supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($1.75 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.