Amazon Titan Image Generator v2.0

Amazon Bedrock image generation

Amazon Titan Image Generator v2.0 is an Amazon Bedrock image generation model. Route Amazon Titan Image Generator v2.0 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: May 12, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for Amazon Titan Image Generator v2.0 yet. If you have a source from Amazon Bedrock's documentation, help us add it — your submission gets reviewed within 48 hours.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.

0
Input
Output

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 Amazon Titan Image Generator v2.0 yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Amazon Titan Image Generator v2.0 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.
# Amazon Titan Image Generator v2.0 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="bedrock/amazon-titan-image-generator-v2-0",
    messages=[{"role": "user", "content": "Hello, Amazon Titan Image Generator v2.0!"}],
)

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="bedrock/amazon-titan-image-generator-v2-0",
    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 ↗

Compare with similar models

Amazon Titan Image Generator v2.0 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 Amazon Titan Image Generator v2.0 cost?

Public per-token pricing for Amazon Titan Image Generator v2.0 is not yet published. Submit a source on this page to help us add it.

What is the context window of Amazon Titan Image Generator v2.0?

Context window for Amazon Titan Image Generator v2.0 is not currently public.

Does Amazon Titan Image Generator v2.0 support function calling?

Amazon Titan Image Generator v2.0 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 Amazon Titan Image Generator v2.0 good for production?

Amazon Titan Image Generator v2.0 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 Amazon Titan Image Generator v2.0 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 Amazon Titan Image Generator v2.0

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