GPT-4.1
BalancedLast verified: June 2026· OpenAI GPT-4.1 pricing
Large-context model (up to ~1M tokens). Confirm current pricing and availability with OpenAI.
- Input / 1M
- $2.00
- Output / 1M
- $8.00
- Context
- 1M tokens
- Provider
- OpenAI
Pricing verified June 2026. Prices change frequently. Always confirm against the provider’s official pricing page before relying on these figures for budgeting. Official pricing →
What GPT-4.1 is best for
Long-context tasks and coding on the OpenAI stack.
Use it for most production routes that need solid quality without frontier pricing. Avoid it for trivial, high-volume calls (route those down) and the very hardest reasoning (route those up).
When to choose GPT-4.1
Choose GPT-4.1 over GPT-4o when you need the 1M-token context window or stronger coding — otherwise 4o’s multimodal maturity makes it the safer default. The price gap is small; decide on context length and task type.
GPT-4.1 cost by volume
Estimated monthly cost at three realistic volumes, at $2.00 input / $8.00 output per million tokens.
| Scenario | Input / mo | Output / mo | Est. cost / mo |
|---|---|---|---|
| Prototype | 2M | 0.5M | $8 |
| Growing product | 50M | 10M | $180 |
| At scale | 500M | 100M | $1,800 |
Plug in your own numbers with the cost calculator.
Cutting your GPT-4.1 bill
The headline price isn’t the lever — usage pattern is. The reductions come from routing low-stakes calls to a cheaper tier, caching stable prefixes, batching non-urgent work, and gating it all behind evals so quality holds. The full method — the same one that takes 30–60% out without regressions — is the LLM cost optimization playbook.
Context window: 1M tokens
GPT-4.1’s context window bounds how much it can consider at once — system prompt, history, retrieved docs, and the response all draw from those 1M tokens. A larger window enables whole-codebase reasoning and long documents, but using more of it costs more per request — so retrieval and caching still matter even when the window is large.
Cheaper alternatives to GPT-4.1
By blended cost (3:1 input:output). The right swap depends on whether quality holds on your routes — always validate with evals.
Frequently asked questions
How much does GPT-4.1 cost?
GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens. A workload of 50M input and 10M output tokens per month would cost about $180. Confirm current pricing with the provider.
What is GPT-4.1's context window?
GPT-4.1 has a 1M-token context window. Large-context model (up to ~1M tokens). Confirm current pricing and availability with OpenAI.
Is GPT-4.1 the right model for my workload?
Long-context tasks and coding on the OpenAI stack. The cheapest correct model is workload-specific — route low-stakes calls to a cheaper tier and reserve GPT-4.1 for work where its strengths matter, validated by evals.