GPT-5.2 Pro: pricing, context window and benchmarks
GPT-5.2 Pro is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $21.32 per million input tokens and $76.33 per million output tokens, and averages 89.6 across the index's benchmark suite.
Pricing
GPT-5.2 Pro costs $21.32 per million input tokens and $76.33 per million output tokens. A blended 3:1 input-to-output mix works out to about $35.07 per million tokens. Cached input is listed at $2.85 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $21.32 | per 1M tokens |
| Output | $76.33 | per 1M tokens |
| Cached input | $2.85 | per 1M tokens |
| Blended 3:1 | $35.07 | estimate per 1M tokens |
| 1M in + 1M out | $97.65 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 91.6 | 1 | 100th | |
| GPQA Diamond | 83.2 | 18 | 97th | |
| SWE-bench Verified | 81.7 | 1 | 100th | |
| HumanEval | 96.8 | 1 | 100th | |
| MATH-500 | 91.8 | 25 | 96th | |
| AIME 2025 | 91.0 | 2 | 100th | |
| LiveCodeBench | 84.6 | 7 | 99th | |
| IFEval | 95.6 | 3 | 100th | |
| TruthfulQA | 90.0 | 4 | 99th | |
| HellaSwag | 95.3 | 3 | 100th | |
| MMMU | 84.4 | 9 | 99th | |
| Arena Elo | 1485.0 | 15 | 98th |
What GPT-5.2 Pro is good for
GPT-5.2 Pro sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $21.32 per million input tokens and a 2,000,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.
Strengths
- Top-tier average benchmark score (89.6), placing it #1 of 600.
- Large 2,000,000-token context window for long documents and agent traces.
- Accepts more than text, including image input where the provider supports it.
- Reasoning-oriented profile, useful for multi-step problems and structured analysis.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Premium input pricing at $21.32 per million tokens.
- Cost can climb quickly on long outputs and high-volume traffic.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
FAQ
How much does GPT-5.2 Pro cost?
GPT-5.2 Pro is listed at $21.32 per million input tokens and $76.33 per million output tokens. Cached input is $2.85 per million tokens. A blended 3:1 input-to-output mix is about $35.07 per million tokens.
What is the context window of GPT-5.2 Pro?
GPT-5.2 Pro has a context window of 2,000,000 tokens and can emit up to 32,768 output tokens per request in this index.
Is GPT-5.2 Pro open weights?
No. GPT-5.2 Pro is a proprietary model with a proprietary licence, so you cannot download the weights.
How does GPT-5.2 Pro score on benchmarks?
GPT-5.2 Pro averages 89.6 across the scored benchmarks in this index, ranking #1 of 600 models. Its strongest relative result is MMLU-Pro at 91.6.
What is GPT-5.2 Pro best for?
GPT-5.2 Pro sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $21.32 per million input tokens and a 2,000,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.