o3 Deep Research (EU)

Azure OpenAI chat Deprecates in 15d (Nov 19, 2026)
Heads-up: Azure OpenAI has scheduled o3 Deep Research (EU) for deprecation on Nov 19, 2026. Plan a migration. Use Agent Command Center's model fallback routing to swap models without code changes.

o3 Deep Research (EU) is an Azure OpenAI chat model.Input is priced at $11.00/M tokens and output at $44.00/M tokens. Route o3 Deep Research (EU) 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 Deep Research (EU) 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
016,000
5,000
01,000,000
cached @ $2.75/M
Per request
$0.0506
in $0.0330 · out $0.0176
Per day
$253
5,000 requests
Per month
$7,701
152,188 requests

Estimate uses $11.00/M input · $44.00/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 $11.00/M
Output $44.00/M
Blended (3:1 in:out) $19.25/M
Cross-model comparable price
Cached input $2.75/M

Context & limits

Context window
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Max input
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Max output
—
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 — not advertised
  • Prompt caching — not advertised
  • Reasoning — not advertised

Strengths & caveats — when to pick o3 Deep Research (EU)

Data-driven from o3 Deep Research (EU)'s percentile within chat peers.

Where it's strong

  • +pricing — cheaper than 96% of priced chat models on Future AGI

Watch out for

  • !agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback
  • !strict structured output — no JSON-schema enforcement, expect retry loops
  • !scheduled deprecation on Nov 19, 2026 (15 days)

Benchmarks pending

We haven't logged public benchmark scores for o3 Deep Research (EU) yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call o3 Deep Research (EU) 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 Deep Research (EU) 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/eu-o3-deep-research",
    messages=[{"role": "user", "content": "Hello, o3 Deep Research (EU)!"}],
)

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/eu-o3-deep-research",
    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 Deep Research (EU) 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 Deep Research (EU) cost?

Input is priced at $11.00 per 1M tokens and output at $44.00 per 1M tokens (Azure OpenAI, last verified Oct 22, 2026).

What is the context window of o3 Deep Research (EU)?

Context window for o3 Deep Research (EU) is not currently public.

Does o3 Deep Research (EU) support function calling?

o3 Deep Research (EU) 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 Deep Research (EU) good for production?

o3 Deep Research (EU) is well-suited for pricing — cheaper than 96% of priced chat models on Future AGI. 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 Deep Research (EU) 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 Deep Research (EU)

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