Scheduled for retirement on Apr 14, 2027. Still available at the prices below until then.
Context
1M
Max output
33K
Serving providers
5
Cheapest input
$0.10 /1M
On-demand listed rates, OpenRouter routed quotes and Vercel reseller quotes. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.
Benchmarks
independent evaluations · source: Artificial AnalysisSpeed & latency
Output speed
226 t/s
tokens / second
Time to first token
0.65s
latency
Headline indices
Individual benchmarks · click a row for effort variants
| Benchmark | Best score | Effort | Cost / task | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CritPt | 0% | default | — | |||||||||||||||||
| GDPval v2Frozen Aug 18, 2026 | 60.6 | default | — | |||||||||||||||||
| ||||||||||||||||||||
| GPQA Diamond | 51% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| Humanity's Last Exam | 4% | default | — | |||||||||||||||||
| IFBench | 32% | default | — | |||||||||||||||||
| LiveCodeBench | 33% | default | — | |||||||||||||||||
| Long-Context Reasoning | 20% | default | — | |||||||||||||||||
| MMLU-ProFrozen Aug 18, 2026 | 66% | default | — | |||||||||||||||||
| MMMU-Pro | 40% | default | — | |||||||||||||||||
| Omniscience | -57.6 | default | — | |||||||||||||||||
| Omniscience Accuracy | 0.1 | default | — | |||||||||||||||||
| Omniscience Non Hallucination | 0.2 | default | — | |||||||||||||||||
| SciCodeArtificial Analysis did not report this score in its latest run on Oct 14, 2026 | 26% | — | — | |||||||||||||||||
| TerminalBench Hard | 4% | default | — | |||||||||||||||||
| TerminalBench v2.1 | 4% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| τ-bench Banking | 4% | default | — | |||||||||||||||||
| τ²-bench | 17% | default | — | |||||||||||||||||
Artificial Analysis last published scores for this benchmark on Sep 9, 2026. Scores here are frozen at that date, and models released since are not on it.
Artificial Analysis last published scores for this benchmark on Aug 18, 2026. Scores here are frozen at that date, and models released since are not on it.
Pricing by serving provider
standard tier · per 1M tokens · click a provider to expand| Serving provider | Input /1M | Output /1M | Endpoints | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Azure | $0.10 | $0.40 | 1 | |||||||||||||||||
Standardazure/gpt-4.1-nano
| ||||||||||||||||||||
| OpenAICheapest | $0.10 | $0.40 | 1 | |||||||||||||||||
Standardgpt-4.1-nano
| ||||||||||||||||||||
| OpenRouter | $0.10 | $0.40 | 1 | |||||||||||||||||
Standardopenai/gpt-4.1-nano
| ||||||||||||||||||||
| Replicate | $0.10 | $0.40 | 1 | |||||||||||||||||
Standardreplicate/openai/gpt-4.1-nano
| ||||||||||||||||||||
| VercelVercel reseller quote | $0.10 | $0.40 | 1 | |||||||||||||||||
Standardopenai/gpt-4.1-nano
| ||||||||||||||||||||
| OpenRouter (batch) | $0.05 | $0.20 | 1 | |||||||||||||||||
Batchopenai/gpt-4.1-nano:batch
| ||||||||||||||||||||
| Vercel (fast)Vercel reseller quote | $0.20 | $0.80 | 1 | |||||||||||||||||
Fastopenai/gpt-4.1-nano-fast
| ||||||||||||||||||||
| Vercel (priority)Vercel reseller quote | $0.20 | $0.80 | 1 | |||||||||||||||||
Priorityopenai/gpt-4.1-nano
| ||||||||||||||||||||
Price history
listed seller prices, input and output per 1M tokens Input Output
Cost calculator
estimate your monthly spend on this model$52
estimated / month
Model IDs
copy the exact identifier for your platformopenai/gpt-4.1-nano:batchazure/gpt-4.1-nanogpt-4.1-nanoreplicate/openai/gpt-4.1-nanoopenai/gpt-4.1-nanoopenai/gpt-4.1-nanoopenai/gpt-4.1-nanoopenai/gpt-4.1-nano-fast
Frequently asked questions
GPT-4.1 Nano pricing, context and availabilityIs GPT-4.1 Nano still available?
Yes. GPT-4.1 Nano is scheduled for retirement on 2027-04-14.
How much does GPT-4.1 Nano cost?
GPT-4.1 Nano costs $0.10 per 1M input tokens from OpenAI, and $0.40 per 1M output tokens from OpenAI.
What is the context window of GPT-4.1 Nano?
GPT-4.1 Nano accepts up to 1M tokens of context and can return up to 33K output tokens.
Which providers serve GPT-4.1 Nano?
GPT-4.1 Nano is available from 5 serving providers, each with its own pricing and model ID. OpenAI is currently the cheapest.
What can GPT-4.1 Nano do?
GPT-4.1 Nano supports image input (vision), tool use, prompt caching and structured output.
Other OpenAI models
compare pricing across the OpenAI lineupPopular comparisons
head-to-head pages featuring GPT-4.1 Nano Listed prices from LiteLLM, OpenRouter and Vercel · last checked Oct 14, 2026
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