o3-mini (US GovCloud)

Azure OpenAI chat

o3-mini (US GovCloud) is an Azure OpenAI chat model.It supports a 200,000-token context windowwith up to 100,000 output tokens.Input is priced at $1.51/M tokens and output at $6.05/M tokens. Capabilities include reasoning, prompt caching. Route o3-mini (US GovCloud) via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: Oct 22, 2026 View source ↗
Cost calculator

Estimate o3-mini (US GovCloud) spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
0200,000
400
0100,000
5,000
01,000,000
cached @ $0.7570/M
Per request
$0.006959
in $0.004539 · out $0.002420
Per day
$34.80
5,000 requests
Per month
$1,059
152,188 requests

Estimate uses $1.51/M input · $6.05/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 Oct 22, 2026.

Input $1.51/M
Output $6.05/M
Blended (3:1 in:out) $2.65/M
Cross-model comparable price
Cached input $0.757/M

Context & limits

Context window
200,000 tokens
Max input
200,000 tokens
Max output
100,000 tokens
Modalities
text

Capabilities

  • Function calling — not advertised
  • 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 ✓ supported
  • Prompt caching ✓ supported
  • Reasoning ✓ supported

Strengths & caveats — when to pick o3-mini (US GovCloud)

Data-driven from o3-mini (US GovCloud)'s percentile within chat peers.

Where it's strong

  • +multi-step reasoning and analysis tasks
  • +repeated long-context prompts (caching saves up to 90% on input cost)

Watch out for

  • !agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback

Benchmarks pending

We haven't logged public benchmark scores for o3-mini (US GovCloud) yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call o3-mini (US GovCloud) 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.

SDK
Native Future AGI client (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.
# o3-mini (US GovCloud) 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="azure-openai/us-gov-o3-mini",
    messages=[{"role": "user", "content": "Hello, o3-mini (US GovCloud)!"}],
)

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="azure-openai/us-gov-o3-mini",
    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"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Explore similar models

o3-mini (US GovCloud) doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

FAQ

How much does o3-mini (US GovCloud) cost?

Input is priced at $1.51 per 1M tokens and output at $6.05 per 1M tokens (Azure OpenAI, last verified Oct 22, 2026).

What is the context window of o3-mini (US GovCloud)?

o3-mini (US GovCloud) supports a 200,000-token context window with up to 100,000 output tokens.

Does o3-mini (US GovCloud) support function calling?

o3-mini (US GovCloud) does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.

Is o3-mini (US GovCloud) good for production?

o3-mini (US GovCloud) is well-suited for multi-step reasoning and analysis tasks and repeated long-context prompts (caching saves up to 90% on input cost). Consider alternatives if you need agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback.

How can I route to o3-mini (US GovCloud) 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 o3-mini (US GovCloud)

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.