GPT Image 2.5 Sunburst Edit
fal.ai image generationGPT Image 2.5 Sunburst Edit is a fal.ai image generation model. Capabilities include vision. Route GPT Image 2.5 Sunburst Edit via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate GPT Image 2.5 Sunburst Edit 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 | $0.0361 |
Context & limits
- Context window
- —
- Max input
- —
- Max output
- —
- Modalities
- vision, image, text
Capabilities
- Function calling — not advertised
- Parallel tool calls — not advertised
- Vision input ✓ supported
- 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 GPT Image 2.5 Sunburst Edit
Data-driven from GPT Image 2.5 Sunburst Edit's percentile within image generation peers.
Where it's strong
- +document, chart, and screenshot understanding
Watch out for
- No major caveats flagged from public spec.
Benchmarks pending
We haven't logged public benchmark scores for GPT Image 2.5 Sunburst Edit yet. Have one to contribute? Submit a source — citations help us prioritise.
Call GPT Image 2.5 Sunburst Edit 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.# GPT Image 2.5 Sunburst Edit 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="fal-ai/openai-gpt-image-2-5-sunburst-edit",
messages=[{"role": "user", "content": "Hello, GPT Image 2.5 Sunburst Edit!"}],
)
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="fal-ai/openai-gpt-image-2-5-sunburst-edit",
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
GPT Image 2.5 Sunburst Edit 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 GPT Image 2.5 Sunburst Edit cost?
Input is priced at $0.000000 per 1M tokens and output at $0.000000 per 1M tokens (fal.ai, last verified Oct 22, 2026).
What is the context window of GPT Image 2.5 Sunburst Edit?
Context window for GPT Image 2.5 Sunburst Edit is not currently public.
Does GPT Image 2.5 Sunburst Edit support function calling?
GPT Image 2.5 Sunburst Edit 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 GPT Image 2.5 Sunburst Edit good for production?
GPT Image 2.5 Sunburst Edit is well-suited for document, chart, and screenshot understanding.
How can I route to GPT Image 2.5 Sunburst Edit 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 GPT Image 2.5 Sunburst Edit
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.