GPT-4.1: pricing, context window and benchmarks
GPT-4.1 is a multimodal model from OpenAI. It offers a 1,000,000-token context window, costs $15.71 per million input tokens and $64.52 per million output tokens, and averages 82.4 across the index's benchmark suite.
Pricing
GPT-4.1 costs $15.71 per million input tokens and $64.52 per million output tokens. A blended 3:1 input-to-output mix works out to about $27.91 per million tokens. Cached input is listed at $1.86 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $15.71 | per 1M tokens |
| Output | $64.52 | per 1M tokens |
| Cached input | $1.86 | per 1M tokens |
| Blended 3:1 | $27.91 | estimate per 1M tokens |
| 1M in + 1M out | $80.23 | 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 | 86.2 | 48 | 92th | |
| GPQA Diamond | 76.1 | 118 | 80th | |
| SWE-bench Verified | 72.2 | 74 | 88th | |
| HumanEval | 88.3 | 68 | 89th | |
| MATH-500 | 86.8 | 82 | 86th | |
| AIME 2025 | 79.9 | 89 | 85th | |
| LiveCodeBench | 77.8 | 66 | 89th | |
| IFEval | 90.4 | 63 | 90th | |
| TruthfulQA | 81.8 | 132 | 78th | |
| HellaSwag | 90.3 | 77 | 87th | |
| MMMU | 76.3 | 132 | 78th | |
| Arena Elo | 1432.4 | 115 | 81th |
What GPT-4.1 is good for
GPT-4.1 is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $15.71 per million input tokens, it sits in the mid-range of the index, and the 1,000,000-token context window is enough for large files and multi-file diffs.
Strengths
- 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 $15.71 per million tokens.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| DeepSeek-V3.2 Chat | DeepSeek | 1000000 | $5.80 | 82.5 |
| DeepSeek-R1 Chat | DeepSeek | 400000 | $5.62 | 82.4 |
| GPT-4.1 | OpenAI | 1000000 | $15.71 | 82.4 |
| Claude 3.7 Sonnet Turbo | Anthropic | 200000 | $15.56 | 82.3 |
| Kimi K2 Instruct | Moonshot AI | 1000000 | $5.80 | 82.3 |
| Kimi K2 Chat | Moonshot AI | 400000 | $5.74 | 82.1 |
FAQ
How much does GPT-4.1 cost?
GPT-4.1 is listed at $15.71 per million input tokens and $64.52 per million output tokens. Cached input is $1.86 per million tokens. A blended 3:1 input-to-output mix is about $27.91 per million tokens.
What is the context window of GPT-4.1?
GPT-4.1 has a context window of 1,000,000 tokens and can emit up to 16,384 output tokens per request in this index.
Is GPT-4.1 open weights?
No. GPT-4.1 is a proprietary model with a proprietary licence, so you cannot download the weights.
How does GPT-4.1 score on benchmarks?
GPT-4.1 averages 82.4 across the scored benchmarks in this index, ranking #81 of 600 models. Its strongest relative result is Arena Elo at 1432.4.
What is GPT-4.1 best for?
GPT-4.1 is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $15.71 per million input tokens, it sits in the mid-range of the index, and the 1,000,000-token context window is enough for large files and multi-file diffs.