GPT-4.1 Nano
by OpenAIopenai/gpt-4.1-nano
LLMCompare cannot run GPT-4.1 Nano yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowGPT-4.1 Nano at a glance
- Context length
- 1,047,576 tokens
- Maximum output
- 32,768 tokens
- Accepts
- Text, Image, File
- Returns
- Text
- Features
- JSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
- Not supported
- Released
- 14 Apr 2025
- Knowledge cutoff
- 30 June 2024
Model facts synced from the OpenRouter model list on 21 Oct 2026.
GPT-4.1 Nano pricing by route
A route is the service LLMCompare calls to reach the model. GPT-4.1 Nano has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.10 | $0.40 | $0.025 | openrouter.ai/openai/gpt-4.1-nano |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to GPT-4.1 Nano costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
- Cost per call
- $0.0003
- 1 credits
- Cost of 100 calls
- $0.03
- 100 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 32,768 | Provider default |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About GPT-4.1 Nano
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
Description as published for this model. LLMCompare has not edited it.
Models to compare with GPT-4.1 Nano
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
GPT-5 NanoOpenAIopenai/gpt-5-nano | 400k | 128k | $0.05 | $0.40 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-6 Luna ProOpenAIopenai/gpt-6-luna-pro | 1.05M | 128k | $0.10 | $0.50 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-6 LunaOpenAIopenai/gpt-6-luna | 1.05M | 128k | $0.10 | $0.50 | ReasoningJSONToolsCacheVision | Runnable now | ||
Seed-2.0-MiniByteDance Seedbytedance-seed/seed-2.0-mini | 262k | 131k | $0.10 | $0.40 | ReasoningJSONToolsVision | No route yet | ||
Nemotron 3 SuperNVIDIAnvidia/nemotron-3-super-120b-a12b | 262k | 236k | $0.08 | $0.45 | ReasoningJSONTools | No route yet | ||
GLM 4.7 FlashZ.aiz-ai/glm-4.7-flash | 200k | 118k | $0.0605 | $0.40 | JSONTools | No route yet |
Questions about GPT-4.1 Nano
- How much does GPT-4.1 Nano cost?
- On the OpenRouter route, GPT-4.1 Nano costs $0.10 per 1 million input tokens and $0.40 per 1 million output tokens, in US dollars. Input tokens that GPT-4.1 Nano reads from the prompt cache cost $0.025 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of GPT-4.1 Nano?
- GPT-4.1 Nano has a context length of 1,047,576 tokens and returns up to 32,768 output tokens in one call.
- What inputs does GPT-4.1 Nano accept?
- GPT-4.1 Nano accepts these inputs: Text, Image, File. GPT-4.1 Nano returns: Text.
- Can I test GPT-4.1 Nano on my own data?
- Not yet. LLMCompare lists the prices and parameters of GPT-4.1 Nano, but no route to GPT-4.1 Nano is configured on LLMCompare, so it cannot be selected for an evaluation.