OpenAI GPT 4.1 nano
Replicate chatOpenAI GPT 4.1 nano is a Replicate chat model.Input is priced at $0.1000/M tokens and output at $0.400/M tokens. Capabilities include function calling. Route OpenAI GPT 4.1 nano via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate OpenAI GPT 4.1 nano spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.1000/M input · $0.4000/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.
| Input | $0.1000/M | |
| Output | $0.400/M |
Limits
- Context window
- —
- Max input
- —
- Max output
- —
- Modalities
- text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input — not advertised
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output — not advertised
- Prompt caching — not advertised
- Reasoning — not advertised
Where it's strong
- +agentic workflows that depend on reliable tool calls
Watch out for
- !strict structured output — no JSON-schema enforcement, expect retry loops
Benchmarks pending
We haven't logged public benchmark scores for OpenAI GPT 4.1 nano yet. Have one to contribute? Submit a source — citations help us prioritise.
Call OpenAI GPT 4.1 nano via Agent Command Center
One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.
agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.# OpenAI GPT 4.1 nano via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC
client = AgentCC(
api_key=os.environ["AGENTCC_API_KEY"], # from app.futureagi.com → Settings → API Keys
base_url="https://gateway.futureagi.com/v1",
)
resp = client.chat.completions.create(
model="replicate/openai-gpt-4-1-nano",
messages=[{"role": "user", "content": "Hello, OpenAI GPT 4.1 nano!"}],
)
print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")
# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
model="replicate/openai-gpt-4-1-nano",
messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost: ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache: ", raw.headers.get("x-agentcc-cache"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Same model on other providers
openai-gpt-4-1-nano is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| OpenRouter | $0.1000/M | $0.400/M | May 12, 2026 |
Compare with similar models
OpenAI GPT 4.1 nano doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.
FAQ
How much does OpenAI GPT 4.1 nano cost?
Input is priced at $0.1000 per 1M tokens and output at $0.400 per 1M tokens (Replicate, last verified May 12, 2026).
What is the context window of OpenAI GPT 4.1 nano?
Context window for OpenAI GPT 4.1 nano is not currently public.
Does OpenAI GPT 4.1 nano support function calling?
Yes — OpenAI GPT 4.1 nano supports function (tool) calling.
Is OpenAI GPT 4.1 nano good for production?
OpenAI GPT 4.1 nano is well-suited for agentic workflows that depend on reliable tool calls. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.
How can I route to OpenAI GPT 4.1 nano with fallback?
Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.
Useful links for OpenAI GPT 4.1 nano
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.