GPT-5 Nano (batch)
by OpenAI · openai/gpt-5-nano:batch · #22 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:21 PM UTC · refreshed hourly
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
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Pricing
Input
$0.025
per 1M tokens
Output
$0.20
per 1M tokens
Blended (3:1)
$0.069
3 input : 1 output
Cache read
$0.0025
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for GPT-5 Nano (batch) with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.069 | $0.00275 | — |
| 50% | $0.06 | $0.001625 | −41% |
| 90% | $0.054 | $0.000725 | −74% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates for this provider’s batch API. Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $7.25e-5 | $0.0725 |
| Document summary | 8,000 | 1,000 | $0.0004 | $0.4 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.00115 | $1.15 |
| Long-context analysis | 150,000 | 5,000 | $0.00475 | $4.75 |
Performance
Intelligence Index
13
AA composite quality
Coding Index
—
Math Index
83.7
Agentic Index
—
Output speed
0 tok/s
median
Time to first token
0s
median
Time to first answer
0s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| MMLU-Pro | 78.0% |
| GPQA Diamond | 67.6% |
| Humanity's Last Exam | 9.5% |
| LiveCodeBench | 78.9% |
| AIME 2025 | 83.7% |
| IFBench | 67.6% |
| AA-LCR (Long Context Reasoning) | 45.0% |
| Terminal-Bench Hard | 12.1% |
| τ²-Bench (Telecom) | 36.5% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,114 |
| UI components | 1,082 |
| Data viz | 1,070 |
| 3D | 994 |
| Game dev | 1,068 |
| Code categories | 1,099 |
Specs
Context window
400K
tokens
Max output
128K
tokens
Input modalities
text, image, file
Tokenizer
GPT