GPT-5.2 Turbo: pricing, context window and benchmarks
GPT-5.2 Turbo is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $20.73 per million input tokens and $96.05 per million output tokens, and averages 87.4 across the index's benchmark suite.
Pricing
GPT-5.2 Turbo costs $20.73 per million input tokens and $96.05 per million output tokens. A blended 3:1 input-to-output mix works out to about $39.56 per million tokens. Cached input is listed at $2.45 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $20.73 | per 1M tokens |
| Output | $96.05 | per 1M tokens |
| Cached input | $2.45 | per 1M tokens |
| Blended 3:1 | $39.56 | estimate per 1M tokens |
| 1M in + 1M out | $116.78 | 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 | 87.3 | 28 | 95th | |
| GPQA Diamond | 84.0 | 11 | 98th | |
| SWE-bench Verified | 77.4 | 19 | 97th | |
| HumanEval | 93.2 | 9 | 99th | |
| MATH-500 | 92.7 | 15 | 98th | |
| AIME 2025 | 86.7 | 21 | 97th | |
| LiveCodeBench | 82.5 | 20 | 97th | |
| IFEval | 92.0 | 39 | 94th | |
| TruthfulQA | 87.3 | 31 | 95th | |
| HellaSwag | 95.5 | 2 | 100th | |
| MMMU | 83.3 | 18 | 97th | |
| Arena Elo | 1500.3 | 3 | 100th |
What GPT-5.2 Turbo is good for
GPT-5.2 Turbo 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 $20.73 per million input tokens and a 1,000,000-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 (87.4), placing it #17 of 600.
- Large 1,000,000-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 $20.73 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 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| o4 Pro | OpenAI | 1000000 | $19.37 | 87.3 |
FAQ
How much does GPT-5.2 Turbo cost?
GPT-5.2 Turbo is listed at $20.73 per million input tokens and $96.05 per million output tokens. Cached input is $2.45 per million tokens. A blended 3:1 input-to-output mix is about $39.56 per million tokens.
What is the context window of GPT-5.2 Turbo?
GPT-5.2 Turbo has a context window of 1,000,000 tokens and can emit up to 8,192 output tokens per request in this index.
Is GPT-5.2 Turbo open weights?
No. GPT-5.2 Turbo is a proprietary model with a proprietary licence, so you cannot download the weights.
How does GPT-5.2 Turbo score on benchmarks?
GPT-5.2 Turbo averages 87.4 across the scored benchmarks in this index, ranking #17 of 600 models. Its strongest relative result is Arena Elo at 1500.3.
What is GPT-5.2 Turbo best for?
GPT-5.2 Turbo 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 $20.73 per million input tokens and a 1,000,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.