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Favicon for openai

OpenAI: GPT-4.1 Nano

openai/gpt-4.1-nano

Compare

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.

Modalities
In / Out Price
$0.10 / $0.40per 1M
Context
1.0M
Released
Apr 14, 2025
Knowledge Cutoff
Jun 2024
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

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), Floor (cheapest), or Exacto (highest tool-calling accuracy).

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.

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).

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.

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.

Benchmark score summary for OpenAI: GPT-4.1 Nano (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisGPT-4.1 nano Coding Index11.1
Artificial AnalysisGPT-4.1 nano GPQA Diamond51.2%
Artificial AnalysisGPT-4.1 nano HLE3.8%
Artificial AnalysisGPT-4.1 nano IFBench32.0%
Artificial AnalysisGPT-4.1 nano τ²-Bench Telecom17.3%
Artificial AnalysisGPT-4.1 nano AA-LCR20.3%
Artificial AnalysisGPT-4.1 nano GDPval-AA0.0%
Artificial AnalysisGPT-4.1 nano CritPt0.0%
Artificial AnalysisGPT-4.1 nano Terminal-Bench Hard3.8%
Artificial AnalysisGPT-4.1 nano AA-Omniscience Accuracy13.7%
Artificial AnalysisGPT-4.1 nano AA-Omniscience Non-Hallucination Rate17.4%
Design ArenaGPT-4.1 nano Models Arena 3D Elo943
Design ArenaGPT-4.1 nano Models Arena Code Categories Elo972
Design ArenaGPT-4.1 nano Models Arena Data Visualization Elo899
Design ArenaGPT-4.1 nano Models Arena Game Development Elo983
Design ArenaGPT-4.1 nano Models Arena UI Component Elo926
Design ArenaGPT-4.1 nano Models Arena Website Elo980

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.

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$0.10$0.40$0.0301.20s39 tps
99.89%
$0.10$0.40$0.0251.32s42 tps
100.00%
Not used in Standard routing:Why these endpoints are not used
$0.11$0.44$0.033----
100.00%
Throughput
42tok/s

P50, best across providers

Latency
1.20s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchAzure50.8%14.0%OpenAI50.5%13.3%Azure (EU)51.2%12.0%auto-routing50.0%10.0%
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.99%

Availability over the last 3 days

Last 72 hours
Availability 99.99%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.99%
Without Routing
99.86%

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 customization options.

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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.

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 2 providers on OpenRouter: Azure and OpenAI. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

GPT-4.1 Nano was released on April 14, 2025. Its knowledge cutoff is June 30, 2024.

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