GPT-4.1 Turbo: pricing, context window and benchmarks
GPT-4.1 Turbo is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $16.12 per million input tokens and $69.91 per million output tokens, and averages 82.9 across the index's benchmark suite.
Pricing
GPT-4.1 Turbo costs $16.12 per million input tokens and $69.91 per million output tokens. A blended 3:1 input-to-output mix works out to about $29.57 per million tokens. Cached input is listed at $1.86 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $16.12 | per 1M tokens |
| Output | $69.91 | per 1M tokens |
| Cached input | $1.86 | per 1M tokens |
| Blended 3:1 | $29.57 | estimate per 1M tokens |
| 1M in + 1M out | $86.03 | 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 | 84.6 | 69 | 89th | |
| GPQA Diamond | 76.1 | 119 | 80th | |
| SWE-bench Verified | 74.7 | 44 | 93th | |
| HumanEval | 89.8 | 50 | 92th | |
| MATH-500 | 86.9 | 79 | 87th | |
| AIME 2025 | 77.4 | 122 | 80th | |
| LiveCodeBench | 78.7 | 56 | 91th | |
| IFEval | 88.2 | 98 | 84th | |
| TruthfulQA | 87.0 | 36 | 94th | |
| HellaSwag | 90.0 | 86 | 86th | |
| MMMU | 78.5 | 85 | 86th | |
| Arena Elo | 1446.2 | 87 | 86th |
What GPT-4.1 Turbo is good for
GPT-4.1 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 $16.12 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 (82.9), placing it #75 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 $16.12 per million tokens.
- Cost can climb quickly on long outputs and high-volume traffic.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| DeepSeek-R1 Instruct | DeepSeek | 1000000 | $5.90 | 83.1 |
| Kimi K2 | Moonshot AI | 128000 | $5.85 | 83.0 |
| GPT-4.1 Turbo | OpenAI | 1000000 | $16.12 | 82.9 |
| Grok 3 Reasoning | xAI | 200000 | $16.07 | 82.9 |
| DeepSeek-R1 | DeepSeek | 128000 | $5.83 | 82.8 |
| Grok 3 | xAI | 128000 | $15.84 | 82.8 |
FAQ
How much does GPT-4.1 Turbo cost?
GPT-4.1 Turbo is listed at $16.12 per million input tokens and $69.91 per million output tokens. Cached input is $1.86 per million tokens. A blended 3:1 input-to-output mix is about $29.57 per million tokens.
What is the context window of GPT-4.1 Turbo?
GPT-4.1 Turbo has a context window of 1,000,000 tokens and can emit up to 128,000 output tokens per request in this index.
Is GPT-4.1 Turbo open weights?
No. GPT-4.1 Turbo is a proprietary model with a proprietary licence, so you cannot download the weights.
How does GPT-4.1 Turbo score on benchmarks?
GPT-4.1 Turbo averages 82.9 across the scored benchmarks in this index, ranking #75 of 600 models. Its strongest relative result is Arena Elo at 1446.2.
What is GPT-4.1 Turbo best for?
GPT-4.1 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 $16.12 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.