This model was retired on 2027-02-09. The pricing below is the last-known rate, kept for migration reference.
GPT-5 NanoDeprecated
VisionTool useReasoningPrompt cachingStructured outputWeb search
Context
272K
Max output
128K
Serving providers
5
Cheapest input
$0.05 /1M
Prices are on-demand list rates. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.
Benchmarks
independent evaluations · source: Artificial AnalysisSpeed & latency
Output speed
153 t/s
tokens / second
Time to first token
104.63s
latency
Headline indices
Intelligence Index
20.1
of 100
Individual benchmarks · click a row for effort variants
| Benchmark | Best score | Effort | Cost / task | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CritPt | 0% | medium | — | |||||||||||||||||
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| GPQA Diamond | 68% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| Humanity's Last Exam | 9% | default | — | |||||||||||||||||
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| IFBench | 68% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| LiveCodeBench | 79% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| Long-Context Reasoning | 44% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| MMLU-Pro | 78% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| MMMU-Pro | 61% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| Omniscience | -25.8 | medium | — | |||||||||||||||||
| ||||||||||||||||||||
| Omniscience Accuracy | 0.2 | default | — | |||||||||||||||||
| ||||||||||||||||||||
| Omniscience Non Hallucination | 0.5 | medium | — | |||||||||||||||||
| ||||||||||||||||||||
| SciCode | 37% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| TerminalBench Hard | 17% | medium | — | |||||||||||||||||
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| τ²-bench | 37% | default | — | |||||||||||||||||
| ||||||||||||||||||||
Pricing by serving provider
last-known · per 1M tokens · click a provider to expand| Serving provider | Input /1M | Output /1M | Endpoints | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Databricks | $0.05 | $0.40 | 1 | |||||||||||||||||||||
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| Azure | $0.05 | $0.40 | 1 | |||||||||||||||||||||
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| OpenAI | $0.05 | $0.40 | 1 | |||||||||||||||||||||
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| Replicate | $0.05 | $0.40 | 1 | |||||||||||||||||||||
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| OpenRouter | $0.05 | $0.40 | 1 | |||||||||||||||||||||
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Price history
input + output $/1M since we started tracking Input Output
Cost calculator
estimate your monthly spend on this model$42
estimated / month
Model IDs
copy the exact identifier for your platformdatabricks/databricks-gpt-5-nanoazure/gpt-5-nanogpt-5-nanoreplicate/openai/gpt-5-nanoopenai/gpt-5-nano
Frequently asked questions
GPT-5 Nano pricing, context and availabilityIs GPT-5 Nano still available?
GPT-5 Nano was retired on 2027-02-09. The pricing on this page is the last-known rate, kept for migration reference.
How much did GPT-5 Nano cost?
GPT-5 Nano's last-known pricing, before it was retired on 2027-02-09, was $0.05 per 1M input tokens and $0.40 per 1M output tokens.
What was the context window of GPT-5 Nano?
GPT-5 Nano had a 272K token context window and could return up to 128K output tokens.
What could GPT-5 Nano do?
GPT-5 Nano supported image input (vision), tool use, reasoning, prompt caching, structured output and web search.
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