Stability Stable Image Search Replace v1.0 (US)
Amazon Bedrock image editStability Stable Image Search Replace v1.0 (US) is an Amazon Bedrock image editing model.It supports a 77-token context window. Route Stability Stable Image Search Replace v1.0 (US) via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Stability Stable Image Search Replace v1.0 (US) 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 Oct 22, 2026.
| Input | — | |
| Output | — | |
| Per image | $0.0700 |
Context & limits
- Context window
- 77 tokens
- Max input
- 77 tokens
- 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
Strengths & caveats — when to pick Stability Stable Image Search Replace v1.0 (US)
Data-driven from Stability Stable Image Search Replace v1.0 (US)'s percentile within image edit peers.
Where it's strong
- +long-context work — the largest context window of any image edit model on Future AGI (77 tokens)
Watch out for
- !small context (under 16K tokens)
Benchmarks pending
We haven't logged public benchmark scores for Stability Stable Image Search Replace v1.0 (US) yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Stability Stable Image Search Replace v1.0 (US) 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.# Stability Stable Image Search Replace v1.0 (US) 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/us-stability-stable-image-search-replace-v1-0",
messages=[{"role": "user", "content": "Hello, Stability Stable Image Search Replace v1.0 (US)!"}],
)
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/us-stability-stable-image-search-replace-v1-0",
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"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Explore similar models
Stability Stable Image Search Replace v1.0 (US) 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.
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FAQ
How much does Stability Stable Image Search Replace v1.0 (US) cost?
Input is priced at $0.000000 per 1M tokens and output at $0.000000 per 1M tokens (Amazon Bedrock, last verified Oct 22, 2026).
What is the context window of Stability Stable Image Search Replace v1.0 (US)?
Stability Stable Image Search Replace v1.0 (US) supports a 77-token context window.
Does Stability Stable Image Search Replace v1.0 (US) support function calling?
Stability Stable Image Search Replace v1.0 (US) 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 Stability Stable Image Search Replace v1.0 (US) good for production?
Stability Stable Image Search Replace v1.0 (US) is well-suited for long-context work — the largest context window of any image edit model on Future AGI (77 tokens). Consider alternatives if you need small context (under 16K tokens).
How can I route to Stability Stable Image Search Replace v1.0 (US) 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 Stability Stable Image Search Replace v1.0 (US)
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.