Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.
Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.
| Flux-2-Klein-9b black-forest-labs/flux-2-klein-9b | Reimagine bria/reimagine/3.2 | |
|---|---|---|
| Provider | Black Forest Labs | Bria |
| Family | FLUX | |
| Modality | image | image |
| Context window | — | — |
| Max output | — | — |
| Released | 2026-01-14 | — |
| Input price | $0.040 /img | $0.040 /img |
| Output price | — | — |
| Cache read | — | — |
| Tools | — | — |
| Streaming | — | — |
| Vision | — | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
FLUX.2 [klein] 9B is a 9 billion parameter model that can generate images from text descriptions and supports multi-reference editing capabilities.
Reimagine uses a structure reference for generating new images while preserving the structure of an input image, guided by text prompts. Perfect for transforming sketches, illustrations, or photos into new illustrations. Trained exclusively on licensed data
# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try Flux-2-Klein-9b
client.chat.completions.create(
model="black-forest-labs/flux-2-klein-9b",
messages=[{"role":"user","content":"hello"}],
)
# Try Reimagine — same client, same key
client.chat.completions.create(
model="bria/reimagine/3.2",
messages=[{"role":"user","content":"hello"}],
)