Model Comparison

GPT-5.2 vs GPT-5.2 Pro

GPT-5.2 Pro significantly outperforms across most benchmarks. GPT-5.2 is 12.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-5.2 outperforms in 0 benchmarks, while GPT-5.2 Pro is better at 6 benchmarks (ARC-AGI, ARC-AGI v2, BrowseComp, GPQA, HMMT 2025, Humanity's Last Exam).

GPT-5.2 Pro significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5.2 costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 12.0x cheaper than GPT-5.2 Pro ($21.00/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 12.0x cheaper than GPT-5.2 Pro ($168.00/1M tokens).

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

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
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

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-5.2 Pro
Input400,000 tokens
Output128,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.2 and GPT-5.2 Pro 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-5.2 Pro

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-5.2 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Both models were released on 2025-12-11.

They likely represent similar generations of model development.

GPT-5.2

Dec 11, 2025

3 months ago

GPT-5.2 Pro

Dec 11, 2025

3 months ago

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while GPT-5.2 Pro's cutoff date is not specified.

We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without GPT-5.2 Pro's cutoff date.

GPT-5.2

Aug 2025

GPT-5.2 Pro

—

Provider Availability

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

GPT-5.2

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

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

OpenAI
Less expensive input tokens
Less expensive output tokens
OpenAI
Higher ARC-AGI score (90.5% vs 86.2%)
Higher ARC-AGI v2 score (54.2% vs 52.9%)
Higher BrowseComp score (77.9% vs 65.8%)
Higher GPQA score (93.2% vs 92.4%)
Higher HMMT 2025 score (100.0% vs 99.4%)
Higher Humanity's Last Exam score (36.6% vs 34.5%)

Detailed Comparison

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

FAQ

Common questions about GPT-5.2 vs GPT-5.2 Pro

GPT-5.2 Pro significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI 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.
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-5.2 Pro scores AIME 2025: 100.0%, HMMT 2025: 100.0%, GPQA: 93.2%, ARC-AGI: 90.5%, BrowseComp: 77.9%.
GPT-5.2 is 12.0x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. GPT-5.2 Pro costs $21.00/M input and $168.00/M output via openai.
GPT-5.2 supports 400K 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 input pricing ($1.75 vs $21.00/M). See the full comparison above for benchmark-by-benchmark results.