GPT-4.1 Nano (batch)
by OpenAI · openai/gpt-4.1-nano:batch · #29 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:21 PM UTC · refreshed hourly
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...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5Gemini 3.6 Flash
Pricing
Input
$0.05
per 1M tokens
Output
$0.20
per 1M tokens
Blended (3:1)
$0.087
3 input : 1 output
Cache read
$0.012
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for GPT-4.1 Nano (batch) with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.087 | $0.0053 | — |
| 50% | $0.073 | $0.003425 | −35% |
| 90% | $0.062 | $0.001925 | −64% |
*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 | $8.50e-5 | $0.085 |
| Document summary | 8,000 | 1,000 | $0.0006 | $0.6 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0019 | $1.90 |
| Long-context analysis | 150,000 | 5,000 | $0.0085 | $8.50 |
Performance
Intelligence Index
7.8
AA composite quality
Coding Index
11.1
Math Index
24
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 | 65.7% |
| GPQA Diamond | 51.2% |
| Humanity's Last Exam | 3.8% |
| LiveCodeBench | 32.6% |
| MATH-500 | 84.8% |
| AIME | 23.7% |
| AIME 2025 | 24.0% |
| IFBench | 32.0% |
| AA-LCR (Long Context Reasoning) | 20.3% |
| Terminal-Bench Hard | 3.8% |
| Terminal-Bench 2.1 | 3.7% |
| τ²-Bench (Telecom) | 17.3% |
| τ³-Bench Banking | 3.5% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 985 |
| UI components | 931 |
| Data viz | 905 |
| 3D | 953 |
| Game dev | 994 |
| Code categories | 978 |
Specs
Context window
1.05M
tokens
Max output
33K
tokens
Input modalities
image, text, file
Tokenizer
GPT