GPT Image 2.5 Sunburst

OpenAI image generation

GPT Image 2.5 Sunburst is an OpenAI image generation model.Input is priced at $5.00/M tokens and output at $30.00/M tokens. Capabilities include vision. Route GPT Image 2.5 Sunburst 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 GPT Image 2.5 Sunburst 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 @ $1.25/M
Per request
$0.0270
in $0.0150 · out $0.0120
Per day
$135
5,000 requests
Per month
$4,109
152,188 requests

Estimate uses $5.00/M input · $30.00/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 $5.00/M
Output $30.00/M
Blended (3:1 in:out) $11.25/M
Cross-model comparable price
Cached input $1.25/M
Batch input $2.50/M

Context & limits

Context window
—
Max input
—
Max output
—
Modalities
vision, pdf, 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 ✓ supported
  • Streaming ✓ supported
  • Structured output — not advertised
  • Prompt caching — not advertised
  • Reasoning — not advertised

Strengths & caveats — when to pick GPT Image 2.5 Sunburst

Data-driven from GPT Image 2.5 Sunburst's percentile within image generation peers.

Where it's strong

  • +pricing — cheaper than 88% of priced image generation models on Future AGI
  • +PDF input — only 7% of image generation models on Future AGI advertise this

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 yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call GPT Image 2.5 Sunburst 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.
# GPT Image 2.5 Sunburst 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="openai/gpt-image-2-5-sunburst",
    messages=[{"role": "user", "content": "Hello, GPT Image 2.5 Sunburst!"}],
)

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="openai/gpt-image-2-5-sunburst",
    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 ↗

Same model on other providers

gpt-image-2-5-sunburst is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Azure OpenAI$5.00/M$30.00/MOct 22, 2026

Explore similar models

GPT Image 2.5 Sunburst 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 cost?

Input is priced at $5.00 per 1M tokens and output at $30.00 per 1M tokens (OpenAI, last verified Oct 22, 2026).

What is the context window of GPT Image 2.5 Sunburst?

Context window for GPT Image 2.5 Sunburst is not currently public.

Does GPT Image 2.5 Sunburst support function calling?

GPT Image 2.5 Sunburst 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 good for production?

GPT Image 2.5 Sunburst is well-suited for pricing — cheaper than 88% of priced image generation models on Future AGI and PDF input — only 7% of image generation models on Future AGI advertise this.

How can I route to GPT Image 2.5 Sunburst 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

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