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 token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
| $0.10 | $0.40 | $0.030 | 0.88s | 110 tok/s | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.11 | $0.44 | $0.033 | 0.60s | 79 tok/s | ||
- Input $0.10 / Output $0.40110 tok/s100.00% uptime
- Not used in Standard routing:Why these endpoints are not used
- Input $0.11 / Output $0.4479 tok/s100.00% uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
GPT-4.1 Nano — Price history
| $0.0553 | $0.387 | 61.7% | 99.9% | ||
Not used in Standard routing:Why these endpoints are not used | |||||
| $0.0763 | $0.419 | 42.7% | 0.1% | ||
- Effective in $0.0553 / Effective out $0.387Token share99.9%
- Not used in Standard routing:Why these endpoints are not used
- Effective in $0.0763 / Effective out $0.419Token share0.1%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
P50, best across providers
P50, best provider
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | GPT-4.1 nano Coding Index | 11.1 |
| Artificial Analysis | GPT-4.1 nano GPQA Diamond | 51.2% |
| Artificial Analysis | GPT-4.1 nano HLE | 3.8% |
| Artificial Analysis | GPT-4.1 nano IFBench | 32.0% |
| Artificial Analysis | GPT-4.1 nano τ²-Bench Telecom | 17.3% |
| Artificial Analysis | GPT-4.1 nano AA-LCR | 20.3% |
| Artificial Analysis | GPT-4.1 nano τ-Bench Banking | 3.5% |
| Artificial Analysis | GPT-4.1 nano GDPval-AA | 0.0% |
| Artificial Analysis | GPT-4.1 nano CritPt | 0.0% |
| Artificial Analysis | GPT-4.1 nano LiveCodeBench | 32.6% |
| Artificial Analysis | GPT-4.1 nano Terminal-Bench Hard | 3.8% |
| Artificial Analysis | GPT-4.1 nano Terminal-Bench 2.1 | 3.7% |
| Artificial Analysis | GPT-4.1 nano MMLU-Pro | 65.7% |
| Artificial Analysis | GPT-4.1 nano AIME 2025 | 24.0% |
| Artificial Analysis | GPT-4.1 nano AIME | 23.7% |
| Artificial Analysis | GPT-4.1 nano MATH-500 | 84.8% |
| Design Arena | GPT-4.1 nano Models Arena 3D Elo | 904 |
| Design Arena | GPT-4.1 nano Models Arena Code Categories Elo | 952 |
| Design Arena | GPT-4.1 nano Models Arena Data Visualization Elo | 888 |
| Design Arena | GPT-4.1 nano Models Arena Game Development Elo | 960 |
| Design Arena | GPT-4.1 nano Models Arena UI Component Elo | 906 |
| Design Arena | GPT-4.1 nano Models Arena Website Elo | 965 |
| Vals AI | GPT 4.1 Nano AIME | 26.5% |
| Vals AI | GPT 4.1 Nano CorpFin v2 | 42.1% |
| Vals AI | GPT 4.1 Nano Finance Agent v1 | 2.5% |
| Vals AI | GPT 4.1 Nano GPQA Diamond | 50.8% |
| Vals AI | GPT 4.1 Nano LiveCodeBench | 42.7% |
| Vals AI | GPT 4.1 Nano LegalBench | 61.1% |
| Vals AI | GPT 4.1 Nano MATH 500 | 80.2% |
| Vals AI | GPT 4.1 Nano MedQA | 68.2% |
| Vals AI | GPT 4.1 Nano MGSM | 69.3% |
| Vals AI | GPT 4.1 Nano MMLU Pro | 63.5% |
| Vals AI | GPT 4.1 Nano MMMU Pro | 55.1% |
| Vals AI | GPT 4.1 Nano MortgageTax | 52.8% |
| Vals AI | GPT 4.1 Nano TaxEval v2 | 60.8% |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Available through EU in-region routing
OpenAI: GPT-4.1 Nano is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).
- Providers in Europe
- Azure
- Prices in Europe
- Azure: $0.11/M tokens input, $0.44/M tokens output
- Base URL
https://eu.openrouter.ai/api/v1- Plan
- Requires Business or Enterprise. Self-serve on Business: no contract, no monthly minimum. OpenRouter Business for EU in-region routing
Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. In-region routing docs
Documentation
Guides, cookbooks, blog posts, and tools for building with OpenAI: GPT-4.1 Nano on OpenRouter.
Frequently asked questions
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 token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion.
The GPT-4.1 Nano documentation on OpenRouter includes the Quasar Alpha and Optimus Alpha Reveal blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.
GPT-4.1 Nano costs $0.10/M input tokens and $0.40/M output tokens, with separate rates for Cache Read at $0.03/M tokens.
GPT-4.1 Nano has a 1,047,576 token context window.
Yes. GPT-4.1 Nano accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
GPT-4.1 Nano accepts images, text, and files such as PDFs as input and returns text.
GPT-4.1 Nano is served by 1 provider on OpenRouter: Azure.
GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions and 58 more are other text models from OpenAI.
GPT-4.1 Nano was released on April 14, 2025. Its knowledge cutoff is June 30, 2024.