GPT-4.1 Nano
OpenAI released 2025-04-14
DeepSeek V4 Flash 0731 scores higher and costs less — but you would give something up.
+42.2 on the capability index and 40% cheaper ($0.105/M against $0.175/M). What you lose:
- no image, file input
Capability scores do not measure context length, output ceiling or which inputs a model accepts, so a higher score does not mean a drop-in replacement.
The same model via batch is 50% cheaper ($0.087/M) — same weights, different latency.
Every price dimension
| Input | $0.100/M |
|---|---|
| Output | $0.400/M |
| Cached input | $0.025/M |
| Web search | $0.01/call |
Independent scores
| Intelligence | 9.6 |
|---|---|
| Coding | 11.1 |
| Agentic | 1.2 |
Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.
Capability
| Context window | 1.0M |
|---|---|
| Max output | 33K |
| Input modes | image, text, file |
| Tool use | yes |
| Reasoning | no |
| Knowledge cutoff | 2024-06-30 |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-08-24 |
| Quality data | verified |
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...