Imagen 4.0 Ultra Generate 001
Google Vertex AI image generationImagen 4.0 Ultra Generate 001 is a Google Vertex AI image generation model. Route Imagen 4.0 Ultra Generate 001 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Imagen 4.0 Ultra Generate 001 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.000000/M input · $0.000000/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 | — | |
| Output | — | |
| Per image | $0.0600 |
Limits
- Context window
- —
- Max input
- —
- Max output
- —
- Modalities
- image, 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
Benchmarks pending
We haven't logged public benchmark scores for Imagen 4.0 Ultra Generate 001 yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Imagen 4.0 Ultra Generate 001 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.# Imagen 4.0 Ultra Generate 001 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="vertex-ai/imagen-4-0-ultra-generate-001",
messages=[{"role": "user", "content": "Hello, Imagen 4.0 Ultra Generate 001!"}],
)
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="vertex-ai/imagen-4-0-ultra-generate-001",
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
imagen-4-0-ultra-generate-001 is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| Google AI | — | — | May 12, 2026 |
Compare with similar models
Imagen 4.0 Ultra Generate 001 doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.
- Gemini 2.5 Flash ImageGoogle Vertex AI · $0.300/M in · $2.50/M out · 32,768 ctx
- Deep Research Pro preview 12.2025Google Vertex AI · $2.00/M in · $12.00/M out · 65,536 ctx
- Gemini 3.1 Flash Image previewGoogle Vertex AI · $0.500/M in · $3.00/M out · 65,536 ctx
- Gemini 3 Pro Image previewGoogle Vertex AI · $2.00/M in · $12.00/M out · 65,536 ctx
FAQ
How much does Imagen 4.0 Ultra Generate 001 cost?
Input is priced at $0.000000 per 1M tokens and output at $0.000000 per 1M tokens (Google Vertex AI, last verified May 12, 2026).
What is the context window of Imagen 4.0 Ultra Generate 001?
Context window for Imagen 4.0 Ultra Generate 001 is not currently public.
Does Imagen 4.0 Ultra Generate 001 support function calling?
Imagen 4.0 Ultra Generate 001 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 Imagen 4.0 Ultra Generate 001 good for production?
Imagen 4.0 Ultra Generate 001 is best evaluated against your own production traces. Pipe traffic through Agent Command Center to compare it head-to-head against alternatives in shadow mode.
How can I route to Imagen 4.0 Ultra Generate 001 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 Imagen 4.0 Ultra Generate 001
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.