GPT-4.1 Reasoning: pricing, context window and benchmarks
GPT-4.1 Reasoning is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $16.97 per million input tokens and $82.05 per million output tokens, and averages 83.8 across the index's benchmark suite.
Pricing
GPT-4.1 Reasoning costs $16.97 per million input tokens and $82.05 per million output tokens. A blended 3:1 input-to-output mix works out to about $33.24 per million tokens. Cached input is listed at $2.48 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $16.97 | per 1M tokens |
| Output | $82.05 | per 1M tokens |
| Cached input | $2.48 | per 1M tokens |
| Blended 3:1 | $33.24 | estimate per 1M tokens |
| 1M in + 1M out | $99.02 | 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 | 27 | 96th | |
| GPQA Diamond | 77.8 | 90 | 85th | |
| SWE-bench Verified | 73.1 | 63 | 90th | |
| HumanEval | 88.8 | 60 | 90th | |
| MATH-500 | 89.1 | 57 | 91th | |
| AIME 2025 | 82.1 | 64 | 89th | |
| LiveCodeBench | 80.5 | 39 | 94th | |
| IFEval | 91.6 | 42 | 93th | |
| TruthfulQA | 84.3 | 79 | 87th | |
| HellaSwag | 89.4 | 103 | 83th | |
| MMMU | 77.5 | 105 | 83th | |
| Arena Elo | 1466.7 | 41 | 93th |
What GPT-4.1 Reasoning is good for
GPT-4.1 Reasoning 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 $16.97 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 (83.8), placing it #61 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 $16.97 per million tokens.
- Cost can climb quickly on long outputs and high-volume traffic.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Claude Haiku 4.5 Max | Anthropic | 200000 | $15.98 | 83.8 |
| Claude Sonnet 4.5 Vision | Anthropic | 128000 | $16.99 | 83.8 |
| GPT-4.1 Reasoning | OpenAI | 1000000 | $16.97 | 83.8 |
| Gemini 2.5 Pro Reasoning | Google DeepMind | 128000 | $16.81 | 83.8 |
| Grok 3 Pro | xAI | 400000 | $16.61 | 83.8 |
| DeepSeek-V3.2 Instruct | DeepSeek | 128000 | $5.91 | 83.7 |
FAQ
How much does GPT-4.1 Reasoning cost?
GPT-4.1 Reasoning is listed at $16.97 per million input tokens and $82.05 per million output tokens. Cached input is $2.48 per million tokens. A blended 3:1 input-to-output mix is about $33.24 per million tokens.
What is the context window of GPT-4.1 Reasoning?
GPT-4.1 Reasoning has a context window of 1,000,000 tokens and can emit up to 4,096 output tokens per request in this index.
Is GPT-4.1 Reasoning open weights?
No. GPT-4.1 Reasoning is a proprietary model with a proprietary licence, so you cannot download the weights.
How does GPT-4.1 Reasoning score on benchmarks?
GPT-4.1 Reasoning averages 83.8 across the scored benchmarks in this index, ranking #61 of 600 models. Its strongest relative result is Arena Elo at 1466.7.
What is GPT-4.1 Reasoning best for?
GPT-4.1 Reasoning 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 $16.97 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.